crop-landcover-explore.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "465af529-6411-459c-ba6a-8dcb76844aa6",
   "metadata": {},
   "source": [
    "# Crop Landcover Exploration\n",
    "\n",
    "This notebook contains some exploratory data analysis for this problem. Our goal is to build and understand a model for predicting crop types for fields in South Africa, based on satellite imagery from Sentinel 2 Level 2-A.\n",
    "\n",
    "Our labels come from the [South Africa Crop Type Competition](https://registry.mlhub.earth/10.34911/rdnt.j0co8q/). They're a collection of scenes, with integers indicating the crop type at each pixel in the scene.\n",
    "\n",
    "Our training data comes from Microsoft's Planetary Computer. The [Sentinel 2 Level 2-A](https://planetarycomputer.microsoft.com/dataset/sentinel-2-l2a) page describes what all is avaiable.\n",
    "\n",
    "## Data Access\n",
    "\n",
    "We'll use STAC to easily find and load the data we care about. We'll interact with two STAC catalogs\n",
    "\n",
    "1. A catalog for the labels, hosted in a Blob Storage container\n",
    "2. The Planetary Computer's STAC API, which catalogs all of Sentinel 2 Level 2-A\n",
    "\n",
    "The overall workflow will be\n",
    "\n",
    "1. Load a scene with the label data (a 256x256 array of integers)\n",
    "2. Search for and load a scene with Sentinel 2 imagery\n",
    "3. Transform and crop the (very large) Sentinel 2 scene to match the 256x256 label scene"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a3fc2514-a80e-4bca-847b-2ee23bf530b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pystac\n",
    "import pystac_client\n",
    "import requests\n",
    "import shapely.geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37049616-1be1-4395-a4d8-dc89c049b379",
   "metadata": {},
   "source": [
    "Let's load the collection of training labels, which was based off the collection used in the Radiant Earth competition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "752f4740-7cbf-4eb2-b6af-b1aae5fb8ed3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Collection id=ref_south_africa_crops_competition_v1_train_labels>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training_catalog = pystac.read_file(\n",
    "    \"https://esip2021.blob.core.windows.net/esip2021/\"\n",
    "    \"train/collection.json\"\n",
    ")\n",
    "training_catalog"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "149104da-6f30-4c03-b048-6abeb4137ac9",
   "metadata": {},
   "source": [
    "That collection has some Items, where each item represents a scene. Each Item has several assets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3db421c1-e89b-4d4f-b370-c1962011dcb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'documentation': <Asset href=../_common/documentation.pdf>,\n",
       " 'field_ids': <Asset href=./field_ids.tif>,\n",
       " 'field_info_train': <Asset href=../../home/jovyan/mlhub/ref_south_africa_crops_competition_v1_train_labels/_common/field_info_train.csv>,\n",
       " 'labels': <Asset href=./labels.tif>,\n",
       " 'raster_values': <Asset href=../_common/raster_values.json>}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_items = list(training_catalog.get_all_items())\n",
    "label_items[0].assets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5bc9334-870c-4f75-b9f0-4489093cadf8",
   "metadata": {},
   "source": [
    "We're most interested in the `labels` asset, a TIFF with the labels say what each pixel is. We'll grab an \"interesting\" scene and load the labels into a DataArray:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b6b7dbfc-a205-4715-a2ab-4a02dfed6120",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (y: 256, x: 256)&gt;\n",
       "array([[6, 6, 6, ..., 0, 0, 0],\n",
       "       [6, 6, 6, ..., 0, 0, 0],\n",
       "       [6, 6, 6, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 5, 5, 5],\n",
       "       [0, 0, 0, ..., 5, 5, 5],\n",
       "       [0, 0, 0, ..., 5, 5, 5]], dtype=uint8)\n",
       "Coordinates:\n",
       "    band         int64 1\n",
       "  * x            (x) float64 2.619e+05 2.619e+05 ... 2.645e+05 2.645e+05\n",
       "  * y            (y) float64 -3.602e+06 -3.602e+06 ... -3.604e+06 -3.604e+06\n",
       "    spatial_ref  int64 0\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 256</li><li><span class='xr-has-index'>x</span>: 256</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dcbd3795-cd09-4dd2-9588-fe67f50047b8' class='xr-array-in' type='checkbox' checked><label for='section-dcbd3795-cd09-4dd2-9588-fe67f50047b8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 ... 0 0 0 0 0 0 0 0 0 0 0 0 5 5 5 5</span></div><div class='xr-array-data'><pre>array([[6, 6, 6, ..., 0, 0, 0],\n",
       "       [6, 6, 6, ..., 0, 0, 0],\n",
       "       [6, 6, 6, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 5, 5, 5],\n",
       "       [0, 0, 0, ..., 5, 5, 5],\n",
       "       [0, 0, 0, ..., 5, 5, 5]], dtype=uint8)</pre></div></div></li><li class='xr-section-item'><input id='section-dda12aa6-09cd-490d-b261-f652ea2fc914' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dda12aa6-09cd-490d-b261-f652ea2fc914' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-132f880e-1adf-4f44-858e-3975306ff8ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-132f880e-1adf-4f44-858e-3975306ff8ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ef272d4-2ac6-418d-8401-06d1d82c007f' class='xr-var-data-in' type='checkbox'><label for='data-4ef272d4-2ac6-418d-8401-06d1d82c007f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.619e+05 2.619e+05 ... 2.645e+05</div><input id='attrs-dd154da1-5387-4b9a-83b8-9f91a76077a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd154da1-5387-4b9a-83b8-9f91a76077a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-532d6caf-2fe6-4b75-b1bc-b4c90f8c0943' class='xr-var-data-in' type='checkbox'><label for='data-532d6caf-2fe6-4b75-b1bc-b4c90f8c0943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([261925., 261935., 261945., ..., 264455., 264465., 264475.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.602e+06 ... -3.604e+06</div><input id='attrs-28735ca5-50ab-42b9-8532-38574afb5fe7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28735ca5-50ab-42b9-8532-38574afb5fe7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afee225f-70b5-4267-9430-d6ed7069281a' class='xr-var-data-in' type='checkbox'><label for='data-afee225f-70b5-4267-9430-d6ed7069281a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3601925., -3601935., -3601945., ..., -3604455., -3604465., -3604475.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-e0f7afb9-2dcd-4346-a1cc-f842848f727f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0f7afb9-2dcd-4346-a1cc-f842848f727f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47ecb6bc-77e0-4263-b668-0a8d8a645c4f' class='xr-var-data-in' type='checkbox'><label for='data-47ecb6bc-77e0-4263-b668-0a8d8a645c4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 34N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,21],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32634&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 34N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>21.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 34N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,21],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32634&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>261920.0 10.0 0.0 -3601920.0 0.0 -10.0</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d117e7ec-1430-47df-a78d-044db89c8061' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d117e7ec-1430-47df-a78d-044db89c8061' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>0.0</dd><dt><span>scale_factor :</span></dt><dd>1.0</dd><dt><span>add_offset :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (y: 256, x: 256)>\n",
       "array([[6, 6, 6, ..., 0, 0, 0],\n",
       "       [6, 6, 6, ..., 0, 0, 0],\n",
       "       [6, 6, 6, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 5, 5, 5],\n",
       "       [0, 0, 0, ..., 5, 5, 5],\n",
       "       [0, 0, 0, ..., 5, 5, 5]], dtype=uint8)\n",
       "Coordinates:\n",
       "    band         int64 1\n",
       "  * x            (x) float64 2.619e+05 2.619e+05 ... 2.645e+05 2.645e+05\n",
       "  * y            (y) float64 -3.602e+06 -3.602e+06 ... -3.604e+06 -3.604e+06\n",
       "    spatial_ref  int64 0\n",
       "Attributes:\n",
       "    _FillValue:    0.0\n",
       "    scale_factor:  1.0\n",
       "    add_offset:    0.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import rioxarray\n",
    "\n",
    "label_item = label_items[18]\n",
    "labels = rioxarray.open_rasterio(\n",
    "    label_item.assets['labels'].get_absolute_href()\n",
    ").squeeze()\n",
    "labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "94da4b59-3825-492e-966c-205c6080100b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import rasterio.plot\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "rasterio.plot.show(labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9cafaa3-5ea3-474b-ae3e-183c319445e8",
   "metadata": {},
   "source": [
    "That item is from a specific date / time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c9cae01a-4400-4d59-8bee-ad01841186e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2017, 8, 1, 0, 0, tzinfo=tzlocal())"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_item.datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8e6fed5b-9b58-4053-945c-091f849bbb15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'coordinates': [[[18.46447947403402, -32.552189271279396],\n",
       "   [18.491720494381838, -32.55273603831489],\n",
       "   [18.49236223306772, -32.529664371949366],\n",
       "   [18.465128164182214, -32.529118087556135],\n",
       "   [18.46447947403402, -32.552189271279396]]],\n",
       " 'type': 'Polygon'}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_item.geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7975d7ee-ebd2-4d5c-9460-062f404ba2d1",
   "metadata": {},
   "source": [
    "We'll search for Sentinel-2 scenes in the Planetary Computer's catalog intersecting with that item from around that datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "af538a9a-19b8-4e23-882f-30caffb02773",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pystac_client\n",
    "\n",
    "stac = pystac_client.Client.open(\n",
    "    \"https://planetarycomputer-staging.microsoft.com/api/stac/v1/\"\n",
    ")\n",
    "\n",
    "search = stac.search(\n",
    "    collections=[\"sentinel-2-l2a\"],\n",
    "    intersects=label_item.geometry,\n",
    "    datetime=\"2017-07-01/2017-09-01\",\n",
    "    limit=500,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fa3c6f2-f234-4d0b-9649-f2f64dfcebfe",
   "metadata": {},
   "source": [
    "Let's find a scene with few clouds. That information is available under the `EOExtension`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "98684537-ece0-4201-b648-f172811617fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pystac.extensions.eo import EOExtension\n",
    "\n",
    "items = search.get_all_items()\n",
    "sentinel_item = sorted(\n",
    "    items,\n",
    "    key=lambda item: EOExtension.ext(item).cloud_cover\n",
    ")[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e85635b-1d3a-4239-bc95-853c4b3a0631",
   "metadata": {},
   "source": [
    "And now visualize the Sentinel scene, overlaying the bounding box of the label scene."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ec37b7ed-cd06-4d11-ab08-a85433c96cdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7ddffe437c90440998063d5eeb50db4a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(center=[-32.54092743431243, 18.47842261141666], controls=(ZoomControl(options=['position', 'zoom_in_text',…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ipyleaflet import Map, TileLayer, GeoJSON\n",
    "\n",
    "center = shapely.geometry.shape(\n",
    "    label_item.geometry\n",
    ").centroid.bounds[:2][::-1]\n",
    "\n",
    "m = Map(center=center, zoom=12)\n",
    "layer = TileLayer(\n",
    "    url=requests.get(sentinel_item.assets['tilejson'].href).json()['tiles'][0],\n",
    ")\n",
    "m.add_layer(layer)\n",
    "m.add_layer(GeoJSON(data=label_item.geometry))\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fdbbe6b-4452-4eee-b40b-a38c5a06771c",
   "metadata": {},
   "source": [
    "We have a bit of work to align the training labels and the image. First, the epsg doesn't match."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e528229b-ca4c-4a11-93e7-ab23eb0ddbb4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Labels CRS: 32634\n",
      "Sentinel CRS: 32734\n"
     ]
    }
   ],
   "source": [
    "from pystac.extensions.projection import ProjectionExtension\n",
    "print(\"  Labels CRS:\", labels.rio.crs.to_epsg())\n",
    "print(\"Sentinel CRS:\", ProjectionExtension.ext(sentinel_item).epsg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bc8a528-eacd-4f1f-ad2a-68da6300eb38",
   "metadata": {},
   "source": [
    "We'll try to do everything in the coordinates of the labels. As we load the training data into a DataArray, we'll reproject it to the Labels' CRS. We'll also trim it down to just the bit we need, covering the labels scene, to avoid using too much memory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b7a5aacf-3e19-4467-88a7-8781d4f31fc4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.8/site-packages/stackstac/accumulate_metadata.py:151: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  props_arr = np.squeeze(np.array(props))\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;stackstac-6d55643fc7b6c57be2988027a49ebb2c&#x27; (band: 7, y: 256, x: 256)&gt;\n",
       "array([[[ 589.,  573.,  533., ...,  901.,  377.,  526.],\n",
       "        [ 437.,  443.,  438., ...,  857.,  643.,  520.],\n",
       "        [ 379.,  410.,  434., ...,  883.,  773.,  513.],\n",
       "        ...,\n",
       "        [ 480.,  517.,  455., ...,  888.,  948.,  730.],\n",
       "        [ 344.,  504.,  469., ...,  724.,  760.,  620.],\n",
       "        [ 120.,  277.,  260., ...,  652.,  673.,  608.]],\n",
       "\n",
       "       [[1176., 1156., 1152., ..., 1246.,  608.,  732.],\n",
       "        [1110., 1084., 1106., ..., 1266.,  750.,  708.],\n",
       "        [1021., 1072., 1092., ..., 1158., 1232.,  730.],\n",
       "        ...,\n",
       "        [ 589.,  659.,  600., ..., 1234., 1344., 1128.],\n",
       "        [ 394.,  647.,  618., ..., 1294., 1256., 1042.],\n",
       "        [ 182.,  325.,  353., ...,  989., 1068.,  961.]],\n",
       "\n",
       "       [[1004.,  932.,  897., ..., 1632.,  777.,  962.],\n",
       "        [ 780.,  780.,  750., ..., 1518., 1152.,  933.],\n",
       "        [ 654.,  747.,  713., ..., 1568., 1404.,  965.],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [1260., 1260., 1374., ..., 2796., 2827., 2827.],\n",
       "        [ 878.,  878., 1027., ..., 2122., 2369., 2369.],\n",
       "        [ 878.,  878., 1027., ..., 2122., 2369., 2369.]],\n",
       "\n",
       "       [[4484., 4484., 4454., ..., 2034., 1784., 1784.],\n",
       "        [4484., 4484., 4454., ..., 2034., 1784., 1784.],\n",
       "        [4765., 4765., 4769., ..., 1880., 1963., 1963.],\n",
       "        ...,\n",
       "        [1315., 1315., 1397., ..., 3045., 2952., 2952.],\n",
       "        [ 990.,  990., 1136., ..., 2351., 2548., 2548.],\n",
       "        [ 990.,  990., 1136., ..., 2351., 2548., 2548.]],\n",
       "\n",
       "       [[4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        [4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        [4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        ...,\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.],\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.],\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.]]], dtype=float32)\n",
       "Coordinates: (12/46)\n",
       "    time                                     datetime64[ns] 2017-07-28T08:25:...\n",
       "    id                                       &lt;U38 &#x27;S2B_MSIL2A_20170728T082559...\n",
       "  * band                                     (band) &lt;U3 &#x27;B02&#x27; &#x27;B03&#x27; ... &#x27;B09&#x27;\n",
       "  * x                                        (x) float64 2.619e+05 ... 2.645e+05\n",
       "  * y                                        (y) float64 -3.602e+06 ... -3.60...\n",
       "    s2:datatake_id                           &lt;U34 &#x27;GS2B_20170728T082559_00204...\n",
       "    ...                                       ...\n",
       "    title                                    (band) &lt;U36 &#x27;Band 2 - Blue - 10m...\n",
       "    proj:shape                               (band) object None ... [1830, 1830]\n",
       "    common_name                              (band) object &#x27;blue&#x27; ... None\n",
       "    center_wavelength                        (band) float64 0.49 0.56 ... 0.945\n",
       "    full_width_half_max                      (band) float64 0.098 ... 0.026\n",
       "    epsg                                     int64 32634\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32634, bounds=(261920, -3604480, 264480, -36...\n",
       "    crs:         epsg:32634\n",
       "    transform:   | 10.00, 0.00, 261920.00|\\n| 0.00,-10.00,-3601920.00|\\n| 0.0...\n",
       "    resolution:  10</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'stackstac-6d55643fc7b6c57be2988027a49ebb2c'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 7</li><li><span class='xr-has-index'>y</span>: 256</li><li><span class='xr-has-index'>x</span>: 256</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-36309e6c-80a6-4884-be46-b9b56ba60cc0' class='xr-array-in' type='checkbox' checked><label for='section-36309e6c-80a6-4884-be46-b9b56ba60cc0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>589.0 573.0 533.0 546.0 ... 2.466e+03 2.466e+03 2.466e+03 2.466e+03</span></div><div class='xr-array-data'><pre>array([[[ 589.,  573.,  533., ...,  901.,  377.,  526.],\n",
       "        [ 437.,  443.,  438., ...,  857.,  643.,  520.],\n",
       "        [ 379.,  410.,  434., ...,  883.,  773.,  513.],\n",
       "        ...,\n",
       "        [ 480.,  517.,  455., ...,  888.,  948.,  730.],\n",
       "        [ 344.,  504.,  469., ...,  724.,  760.,  620.],\n",
       "        [ 120.,  277.,  260., ...,  652.,  673.,  608.]],\n",
       "\n",
       "       [[1176., 1156., 1152., ..., 1246.,  608.,  732.],\n",
       "        [1110., 1084., 1106., ..., 1266.,  750.,  708.],\n",
       "        [1021., 1072., 1092., ..., 1158., 1232.,  730.],\n",
       "        ...,\n",
       "        [ 589.,  659.,  600., ..., 1234., 1344., 1128.],\n",
       "        [ 394.,  647.,  618., ..., 1294., 1256., 1042.],\n",
       "        [ 182.,  325.,  353., ...,  989., 1068.,  961.]],\n",
       "\n",
       "       [[1004.,  932.,  897., ..., 1632.,  777.,  962.],\n",
       "        [ 780.,  780.,  750., ..., 1518., 1152.,  933.],\n",
       "        [ 654.,  747.,  713., ..., 1568., 1404.,  965.],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [1260., 1260., 1374., ..., 2796., 2827., 2827.],\n",
       "        [ 878.,  878., 1027., ..., 2122., 2369., 2369.],\n",
       "        [ 878.,  878., 1027., ..., 2122., 2369., 2369.]],\n",
       "\n",
       "       [[4484., 4484., 4454., ..., 2034., 1784., 1784.],\n",
       "        [4484., 4484., 4454., ..., 2034., 1784., 1784.],\n",
       "        [4765., 4765., 4769., ..., 1880., 1963., 1963.],\n",
       "        ...,\n",
       "        [1315., 1315., 1397., ..., 3045., 2952., 2952.],\n",
       "        [ 990.,  990., 1136., ..., 2351., 2548., 2548.],\n",
       "        [ 990.,  990., 1136., ..., 2351., 2548., 2548.]],\n",
       "\n",
       "       [[4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        [4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        [4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        ...,\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.],\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.],\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7f05c934-dcaf-4a3b-821e-158547f767ca' class='xr-section-summary-in' type='checkbox'  ><label for='section-7f05c934-dcaf-4a3b-821e-158547f767ca' class='xr-section-summary' >Coordinates: <span>(46)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-07-28T08:25:59.027000</div><input id='attrs-e9c6895d-3a28-4b5e-8f46-fcdc04eb7d59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9c6895d-3a28-4b5e-8f46-fcdc04eb7d59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b99e9014-1e10-4e4a-8736-f5e67a1acbcd' class='xr-var-data-in' type='checkbox'><label for='data-b99e9014-1e10-4e4a-8736-f5e67a1acbcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2017-07-28T08:25:59.027000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U38</div><div class='xr-var-preview xr-preview'>&#x27;S2B_MSIL2A_20170728T082559_R021...</div><input id='attrs-f2f6b8c3-880b-429a-8261-057c138fac30' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2f6b8c3-880b-429a-8261-057c138fac30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b74e80c-0c5e-433b-bba4-7eadf0d6b596' class='xr-var-data-in' type='checkbox'><label for='data-2b74e80c-0c5e-433b-bba4-7eadf0d6b596' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_MSIL2A_20170728T082559_R021_T34HBK&#x27;, dtype=&#x27;&lt;U38&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;B02&#x27; &#x27;B03&#x27; &#x27;B04&#x27; ... &#x27;B07&#x27; &#x27;B09&#x27;</div><input id='attrs-6ea54b07-b37e-4c03-88e4-97a246600b96' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ea54b07-b37e-4c03-88e4-97a246600b96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c95b72b-d7f2-40b0-b655-ce7621139400' class='xr-var-data-in' type='checkbox'><label for='data-5c95b72b-d7f2-40b0-b655-ce7621139400' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;B02&#x27;, &#x27;B03&#x27;, &#x27;B04&#x27;, &#x27;B05&#x27;, &#x27;B06&#x27;, &#x27;B07&#x27;, &#x27;B09&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.619e+05 2.619e+05 ... 2.645e+05</div><input id='attrs-c47c51ad-14cb-4a96-b54f-7aecbc711951' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c47c51ad-14cb-4a96-b54f-7aecbc711951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe18562-b059-4158-bfe9-f55b8a1817ce' class='xr-var-data-in' type='checkbox'><label for='data-efe18562-b059-4158-bfe9-f55b8a1817ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([261920., 261930., 261940., ..., 264450., 264460., 264470.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.602e+06 ... -3.604e+06</div><input id='attrs-4c0616f4-ad70-4620-8106-60611b085951' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c0616f4-ad70-4620-8106-60611b085951' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5202e347-e7b4-4ace-a39a-bb3772ca5b93' class='xr-var-data-in' type='checkbox'><label for='data-5202e347-e7b4-4ace-a39a-bb3772ca5b93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3601920., -3601930., -3601940., ..., -3604450., -3604460., -3604470.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datatake_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U34</div><div class='xr-var-preview xr-preview'>&#x27;GS2B_20170728T082559_002049_N02...</div><input id='attrs-0d01d504-d356-422d-a021-0b00e6102ed0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d01d504-d356-422d-a021-0b00e6102ed0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3e94529-e485-4a42-bfd7-fd099735853e' class='xr-var-data-in' type='checkbox'><label for='data-f3e94529-e485-4a42-bfd7-fd099735853e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;GS2B_20170728T082559_002049_N02.12&#x27;, dtype=&#x27;&lt;U34&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:high_proba_clouds_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01307</div><input id='attrs-37d3cfa7-0ed7-4ae3-ac44-9f2779915a3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37d3cfa7-0ed7-4ae3-ac44-9f2779915a3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a27560c6-a813-4840-8834-ac8f54b41bd5' class='xr-var-data-in' type='checkbox'><label for='data-a27560c6-a813-4840-8834-ac8f54b41bd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.013067)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat:orbit_state</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;descending&#x27;</div><input id='attrs-ac7c0127-0afc-4598-9458-94c70e7ceb72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac7c0127-0afc-4598-9458-94c70e7ceb72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0cdb56d-e5e3-414d-b1ba-2ee6cf874dd9' class='xr-var-data-in' type='checkbox'><label for='data-b0cdb56d-e5e3-414d-b1ba-2ee6cf874dd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;descending&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mgrs_tile</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;34HBK&#x27;</div><input id='attrs-a804c44e-3c36-4170-857f-31599bfbdfa0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a804c44e-3c36-4170-857f-31599bfbdfa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f182675-6d45-447f-b237-1107888a5d27' class='xr-var-data-in' type='checkbox'><label for='data-9f182675-6d45-447f-b237-1107888a5d27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;34HBK&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:medium_proba_clouds_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.06988</div><input id='attrs-fd46298d-57f6-4b69-a341-d2af68be7eaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd46298d-57f6-4b69-a341-d2af68be7eaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91dd98aa-357f-46c8-b52d-cabf2816447d' class='xr-var-data-in' type='checkbox'><label for='data-91dd98aa-357f-46c8-b52d-cabf2816447d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.06988)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:degraded_msi_data_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-b3331802-3feb-49cf-9f70-c1acb78bbc85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3331802-3feb-49cf-9f70-c1acb78bbc85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e268ec8-de70-43f9-a1ec-67796092e66a' class='xr-var-data-in' type='checkbox'><label for='data-8e268ec8-de70-43f9-a1ec-67796092e66a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:processing_baseline</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;02.12&#x27;</div><input id='attrs-d04f3f4d-8e62-4557-b8ed-7fda2181dddd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d04f3f4d-8e62-4557-b8ed-7fda2181dddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec25c38a-dcfc-4fff-b8fa-598ab6052abc' class='xr-var-data-in' type='checkbox'><label for='data-ec25c38a-dcfc-4fff-b8fa-598ab6052abc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;02.12&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:thin_cirrus_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.000101</div><input id='attrs-602ff5b3-59a0-41b1-afab-de8b512e797e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-602ff5b3-59a0-41b1-afab-de8b512e797e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ffaabaa-1dbc-410a-b10b-29d53fdfc7f0' class='xr-var-data-in' type='checkbox'><label for='data-6ffaabaa-1dbc-410a-b10b-29d53fdfc7f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.000101)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:cloud_shadow_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008409</div><input id='attrs-ba97eecd-d17f-42ac-bb32-14a189af13b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba97eecd-d17f-42ac-bb32-14a189af13b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-299e7e28-5e47-4020-8093-2e7fbc3f39fa' class='xr-var-data-in' type='checkbox'><label for='data-299e7e28-5e47-4020-8093-2e7fbc3f39fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.008409)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:dark_features_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.78</div><input id='attrs-868539de-f4f7-4979-8dab-3c856d041d4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-868539de-f4f7-4979-8dab-3c856d041d4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c10c826-6516-4033-b335-5e77f4253bb5' class='xr-var-data-in' type='checkbox'><label for='data-6c10c826-6516-4033-b335-5e77f4253bb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.77994)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:vegetation_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.018</div><input id='attrs-28bb052c-a844-4da9-bd45-11d7cb3a8b19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28bb052c-a844-4da9-bd45-11d7cb3a8b19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11dc4154-7d2f-4d49-a664-fbc32ca997a5' class='xr-var-data-in' type='checkbox'><label for='data-11dc4154-7d2f-4d49-a664-fbc32ca997a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(3.017958)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:product_uri</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U65</div><div class='xr-var-preview xr-preview'>&#x27;S2B_MSIL2A_20170728T082559_N021...</div><input id='attrs-200fc1cf-f56c-49d0-815c-9c3a945c33de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-200fc1cf-f56c-49d0-815c-9c3a945c33de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dde98adb-ede1-4023-8009-6cfb188700be' class='xr-var-data-in' type='checkbox'><label for='data-dde98adb-ede1-4023-8009-6cfb188700be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_MSIL2A_20170728T082559_N0212_R021_T34HBK_20210210T155259.SAFE&#x27;,\n",
       "      dtype=&#x27;&lt;U65&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datastrip_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U64</div><div class='xr-var-preview xr-preview'>&#x27;S2B_OPER_MSI_L2A_DS_ESRI_202102...</div><input id='attrs-f63545e1-f02f-4c24-9e15-c3000828521b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f63545e1-f02f-4c24-9e15-c3000828521b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf5735b5-ac07-46a3-8cb5-91d4cc002342' class='xr-var-data-in' type='checkbox'><label for='data-cf5735b5-ac07-46a3-8cb5-91d4cc002342' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_OPER_MSI_L2A_DS_ESRI_20210210T155259_S20170728T085822_N02.12&#x27;,\n",
       "      dtype=&#x27;&lt;U64&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mean_solar_zenith</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>57.79</div><input id='attrs-2e7e7a95-9778-4c6a-a166-1c202bc56da9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2e7e7a95-9778-4c6a-a166-1c202bc56da9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-245285c3-8101-418d-ba4c-91664a0fd703' class='xr-var-data-in' type='checkbox'><label for='data-245285c3-8101-418d-ba4c-91664a0fd703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(57.79439579)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:generation_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U24</div><div class='xr-var-preview xr-preview'>&#x27;2021-02-10T15:52:59.380Z&#x27;</div><input id='attrs-f3370517-7cde-455f-812f-09cb141d3d3e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3370517-7cde-455f-812f-09cb141d3d3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c2a7674-137d-485e-bbc8-38048c33d3dc' class='xr-var-data-in' type='checkbox'><label for='data-4c2a7674-137d-485e-bbc8-38048c33d3dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-02-10T15:52:59.380Z&#x27;, dtype=&#x27;&lt;U24&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datatake_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;INS-NOBS&#x27;</div><input id='attrs-e1fac136-125a-48ff-96fb-90ae65544a8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1fac136-125a-48ff-96fb-90ae65544a8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8f1c1dd-459e-401b-9dbe-daaa89331ed6' class='xr-var-data-in' type='checkbox'><label for='data-d8f1c1dd-459e-401b-9dbe-daaa89331ed6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;INS-NOBS&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:water_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>43.31</div><input id='attrs-9c0fe8cc-cba9-4ded-a4d7-7390e5df240c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c0fe8cc-cba9-4ded-a4d7-7390e5df240c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da8c9d4b-6dfd-4d38-8456-6c6212a373c2' class='xr-var-data-in' type='checkbox'><label for='data-da8c9d4b-6dfd-4d38-8456-6c6212a373c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(43.308395)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:granule_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U62</div><div class='xr-var-preview xr-preview'>&#x27;S2B_OPER_MSI_L2A_TL_ESRI_202102...</div><input id='attrs-865d88a9-9a59-402c-a623-54c0443a5f53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-865d88a9-9a59-402c-a623-54c0443a5f53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8d1d552-ea5b-4703-844b-f4b57276dcb7' class='xr-var-data-in' type='checkbox'><label for='data-a8d1d552-ea5b-4703-844b-f4b57276dcb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_OPER_MSI_L2A_TL_ESRI_20210210T155259_A002049_T34HBK_N02.12&#x27;,\n",
       "      dtype=&#x27;&lt;U62&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Sentinel-2B&#x27;</div><input id='attrs-42142d93-12ab-480f-8b38-e4c33284d20f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42142d93-12ab-480f-8b38-e4c33284d20f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77c00a1f-0e2b-4f36-aa2d-086284983bec' class='xr-var-data-in' type='checkbox'><label for='data-77c00a1f-0e2b-4f36-aa2d-086284983bec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;Sentinel-2B&#x27;, dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:nodata_pixel_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.033</div><input id='attrs-0a6deb66-85a1-436b-9700-4d4140f78ca3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0a6deb66-85a1-436b-9700-4d4140f78ca3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9827dc36-0edd-4092-a391-1c2d8e2e1ede' class='xr-var-data-in' type='checkbox'><label for='data-9827dc36-0edd-4092-a391-1c2d8e2e1ede' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(8.033467)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:unclassified_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8731</div><input id='attrs-b12a1e90-75d5-4038-8f6f-cd9038fa3db1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b12a1e90-75d5-4038-8f6f-cd9038fa3db1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80f6b999-53cd-4ae6-8eb1-c0cf911fe9d6' class='xr-var-data-in' type='checkbox'><label for='data-80f6b999-53cd-4ae6-8eb1-c0cf911fe9d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.8731)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:snow_ice_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02921</div><input id='attrs-232d510b-c0a5-42eb-997d-ce6b1f89b36e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-232d510b-c0a5-42eb-997d-ce6b1f89b36e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6183e6b6-a138-400f-a0a7-346d4f72c464' class='xr-var-data-in' type='checkbox'><label for='data-6183e6b6-a138-400f-a0a7-346d4f72c464' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.029211)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat:relative_orbit</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>21</div><input id='attrs-200db325-aed6-4972-993f-9fcdd892aa31' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-200db325-aed6-4972-993f-9fcdd892aa31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ab70b5d-6bc5-46f7-adb6-89dbdfd3fc62' class='xr-var-data-in' type='checkbox'><label for='data-2ab70b5d-6bc5-46f7-adb6-89dbdfd3fc62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(21)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:reflectance_conversion_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9692</div><input id='attrs-b47a9265-af92-41b1-a90c-ceacf978511f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b47a9265-af92-41b1-a90c-ceacf978511f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-390998b9-e22f-4da7-93d6-05ceceb29e8e' class='xr-var-data-in' type='checkbox'><label for='data-390998b9-e22f-4da7-93d6-05ceceb29e8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.96922954)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eo:cloud_cover</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.08305</div><input id='attrs-0161b967-8271-4fa1-824d-d1608ab81b4e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0161b967-8271-4fa1-824d-d1608ab81b4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbaf0814-8e14-4969-bc7b-42e863158d25' class='xr-var-data-in' type='checkbox'><label for='data-bbaf0814-8e14-4969-bc7b-42e863158d25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.083048)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instruments</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;msi&#x27;</div><input id='attrs-ab753de6-ff45-4a8f-8c3e-073bfea978a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab753de6-ff45-4a8f-8c3e-073bfea978a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ac2d92-dcca-4f61-87ee-eb7ca4ab5741' class='xr-var-data-in' type='checkbox'><label for='data-91ac2d92-dcca-4f61-87ee-eb7ca4ab5741' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;msi&#x27;, dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32734</div><input id='attrs-416f12d5-e93e-4aa1-9a24-e93ae576f215' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-416f12d5-e93e-4aa1-9a24-e93ae576f215' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0145f956-8877-42bc-b1b3-c262c6a901f0' class='xr-var-data-in' type='checkbox'><label for='data-0145f956-8877-42bc-b1b3-c262c6a901f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32734)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:product_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;S2MSI2A&#x27;</div><input id='attrs-c39f33c2-58c4-4218-a8a2-dafd7d2ad036' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c39f33c2-58c4-4218-a8a2-dafd7d2ad036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550410e9-821c-4ea9-a6fd-e321046afa41' class='xr-var-data-in' type='checkbox'><label for='data-550410e9-821c-4ea9-a6fd-e321046afa41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2MSI2A&#x27;, dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:saturated_defective_pixel_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-5da4cead-f4cd-4f45-9ca8-06af1e996d91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5da4cead-f4cd-4f45-9ca8-06af1e996d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e26b8da-fdf7-4cfd-acb9-be51e2f9a1ba' class='xr-var-data-in' type='checkbox'><label for='data-1e26b8da-fdf7-4cfd-acb9-be51e2f9a1ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:not_vegetated_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.9</div><input id='attrs-dd73c8f2-50d6-4e4e-b739-7b826da139c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd73c8f2-50d6-4e4e-b739-7b826da139c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79734170-db6c-437d-ac0c-a9c53c4cf917' class='xr-var-data-in' type='checkbox'><label for='data-79734170-db6c-437d-ac0c-a9c53c4cf917' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(50.899941)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mean_solar_azimuth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.11</div><input id='attrs-274b7e5b-b90c-4de0-9112-1d95318f790f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-274b7e5b-b90c-4de0-9112-1d95318f790f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-485a7f60-c0c6-4652-9190-c5094d9f93e6' class='xr-var-data-in' type='checkbox'><label for='data-485a7f60-c0c6-4652-9190-c5094d9f93e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32.10980837)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>constellation</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;Sentinel 2&#x27;</div><input id='attrs-173319cf-5135-4684-adee-48d9c7004bf3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-173319cf-5135-4684-adee-48d9c7004bf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d808db-327f-4be7-9680-092d27ee51f0' class='xr-var-data-in' type='checkbox'><label for='data-97d808db-327f-4be7-9680-092d27ee51f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;Sentinel 2&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gsd</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None None 10 20 20 20 60</div><input id='attrs-ae4fe081-8032-47e5-a7f6-3345b9d50eec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae4fe081-8032-47e5-a7f6-3345b9d50eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92449cf8-e585-4c93-a4db-127c8b5e0df1' class='xr-var-data-in' type='checkbox'><label for='data-92449cf8-e585-4c93-a4db-127c8b5e0df1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([None, None, 10, 20, 20, 20, 60], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{6500020.0, 6390220.0, 199980.0,...</div><input id='attrs-8a89e1a4-5f99-4ae2-94a1-980a4b2aa1ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a89e1a4-5f99-4ae2-94a1-980a4b2aa1ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50d1962f-989b-4fe4-aac5-8d9a7a0277c4' class='xr-var-data-in' type='checkbox'><label for='data-50d1962f-989b-4fe4-aac5-8d9a7a0277c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({6500020.0, 6390220.0, 199980.0, 309780.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:transform</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None ... [60.0, 0.0, 199980.0, 0...</div><input id='attrs-2f853ab2-e4b1-43cb-8740-385f76b14930' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f853ab2-e4b1-43cb-8740-385f76b14930' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d26171d9-0c32-4b06-a0aa-e93ff4b16f3b' class='xr-var-data-in' type='checkbox'><label for='data-d26171d9-0c32-4b06-a0aa-e93ff4b16f3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([None, None, list([10.0, 0.0, 199980.0, 0.0, -10.0, 6500020.0]),\n",
       "       list([20.0, 0.0, 199980.0, 0.0, -20.0, 6500020.0]),\n",
       "       list([20.0, 0.0, 199980.0, 0.0, -20.0, 6500020.0]),\n",
       "       list([20.0, 0.0, 199980.0, 0.0, -20.0, 6500020.0]),\n",
       "       list([60.0, 0.0, 199980.0, 0.0, -60.0, 6500020.0])], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>title</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>&lt;U36</div><div class='xr-var-preview xr-preview'>&#x27;Band 2 - Blue - 10m&#x27; ... &#x27;Band ...</div><input id='attrs-4dbeea88-8921-47d9-a32e-563c96b8b834' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4dbeea88-8921-47d9-a32e-563c96b8b834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d95f053b-f3c3-4d5a-a9ea-d4dbf75f1ec7' class='xr-var-data-in' type='checkbox'><label for='data-d95f053b-f3c3-4d5a-a9ea-d4dbf75f1ec7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Band 2 - Blue - 10m&#x27;, &#x27;Band 3 - Green - 10m&#x27;,\n",
       "       &#x27;Band 4 - Red - 10m&#x27;, &#x27;Band 5 - Vegetation red edge 1 - 20m&#x27;,\n",
       "       &#x27;Band 6 - Vegetation red edge 2 - 20m&#x27;,\n",
       "       &#x27;Band 7 - Vegetation red edge 3 - 20m&#x27;,\n",
       "       &#x27;Band 9 - Water vapor - 60m&#x27;], dtype=&#x27;&lt;U36&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:shape</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None None ... [1830, 1830]</div><input id='attrs-13dd8810-f9c8-4bc7-9f21-b92077556d2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13dd8810-f9c8-4bc7-9f21-b92077556d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b530b4a-b929-4b11-adaf-3724eb65f0b2' class='xr-var-data-in' type='checkbox'><label for='data-4b530b4a-b929-4b11-adaf-3724eb65f0b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([None, None, list([10980, 10980]), list([5490, 5490]),\n",
       "       list([5490, 5490]), list([5490, 5490]), list([1830, 1830])],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>common_name</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;blue&#x27; &#x27;green&#x27; ... &#x27;rededge&#x27; None</div><input id='attrs-7f43334b-99f8-4bbd-9ae1-d475648b6b35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f43334b-99f8-4bbd-9ae1-d475648b6b35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de83ef28-2023-408d-b77e-5d7e0f079538' class='xr-var-data-in' type='checkbox'><label for='data-de83ef28-2023-408d-b77e-5d7e0f079538' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;blue&#x27;, &#x27;green&#x27;, &#x27;red&#x27;, &#x27;rededge&#x27;, &#x27;rededge&#x27;, &#x27;rededge&#x27;, None],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>center_wavelength</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.49 0.56 0.665 ... 0.783 0.945</div><input id='attrs-e89438ad-2507-4c34-9c3d-10b755f343d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e89438ad-2507-4c34-9c3d-10b755f343d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e90720d5-92db-488f-ab7a-85a7e3bbc0c3' class='xr-var-data-in' type='checkbox'><label for='data-e90720d5-92db-488f-ab7a-85a7e3bbc0c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.49 , 0.56 , 0.665, 0.704, 0.74 , 0.783, 0.945])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>full_width_half_max</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.098 0.045 0.038 ... 0.028 0.026</div><input id='attrs-6a8d21ed-9cd1-4340-befa-996b83176c5f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6a8d21ed-9cd1-4340-befa-996b83176c5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cee30e3d-634b-4e29-8117-ed64c75e0443' class='xr-var-data-in' type='checkbox'><label for='data-cee30e3d-634b-4e29-8117-ed64c75e0443' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.098, 0.045, 0.038, 0.019, 0.018, 0.028, 0.026])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32634</div><input id='attrs-d5657d1e-cc74-4e58-92d2-1c671266b0a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5657d1e-cc74-4e58-92d2-1c671266b0a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87ac1792-b986-4434-bd8f-07483cd88125' class='xr-var-data-in' type='checkbox'><label for='data-87ac1792-b986-4434-bd8f-07483cd88125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32634)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37d772f3-d20f-4798-9349-f6279decd0e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37d772f3-d20f-4798-9349-f6279decd0e0' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>spec :</span></dt><dd>RasterSpec(epsg=32634, bounds=(261920, -3604480, 264480, -3601920), resolutions_xy=(10, 10))</dd><dt><span>crs :</span></dt><dd>epsg:32634</dd><dt><span>transform :</span></dt><dd>| 10.00, 0.00, 261920.00|\n",
       "| 0.00,-10.00,-3601920.00|\n",
       "| 0.00, 0.00, 1.00|</dd><dt><span>resolution :</span></dt><dd>10</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'stackstac-6d55643fc7b6c57be2988027a49ebb2c' (band: 7, y: 256, x: 256)>\n",
       "array([[[ 589.,  573.,  533., ...,  901.,  377.,  526.],\n",
       "        [ 437.,  443.,  438., ...,  857.,  643.,  520.],\n",
       "        [ 379.,  410.,  434., ...,  883.,  773.,  513.],\n",
       "        ...,\n",
       "        [ 480.,  517.,  455., ...,  888.,  948.,  730.],\n",
       "        [ 344.,  504.,  469., ...,  724.,  760.,  620.],\n",
       "        [ 120.,  277.,  260., ...,  652.,  673.,  608.]],\n",
       "\n",
       "       [[1176., 1156., 1152., ..., 1246.,  608.,  732.],\n",
       "        [1110., 1084., 1106., ..., 1266.,  750.,  708.],\n",
       "        [1021., 1072., 1092., ..., 1158., 1232.,  730.],\n",
       "        ...,\n",
       "        [ 589.,  659.,  600., ..., 1234., 1344., 1128.],\n",
       "        [ 394.,  647.,  618., ..., 1294., 1256., 1042.],\n",
       "        [ 182.,  325.,  353., ...,  989., 1068.,  961.]],\n",
       "\n",
       "       [[1004.,  932.,  897., ..., 1632.,  777.,  962.],\n",
       "        [ 780.,  780.,  750., ..., 1518., 1152.,  933.],\n",
       "        [ 654.,  747.,  713., ..., 1568., 1404.,  965.],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [1260., 1260., 1374., ..., 2796., 2827., 2827.],\n",
       "        [ 878.,  878., 1027., ..., 2122., 2369., 2369.],\n",
       "        [ 878.,  878., 1027., ..., 2122., 2369., 2369.]],\n",
       "\n",
       "       [[4484., 4484., 4454., ..., 2034., 1784., 1784.],\n",
       "        [4484., 4484., 4454., ..., 2034., 1784., 1784.],\n",
       "        [4765., 4765., 4769., ..., 1880., 1963., 1963.],\n",
       "        ...,\n",
       "        [1315., 1315., 1397., ..., 3045., 2952., 2952.],\n",
       "        [ 990.,  990., 1136., ..., 2351., 2548., 2548.],\n",
       "        [ 990.,  990., 1136., ..., 2351., 2548., 2548.]],\n",
       "\n",
       "       [[4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        [4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        [4871., 4871., 4871., ..., 1847., 1847., 1847.],\n",
       "        ...,\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.],\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.],\n",
       "        [1110., 1110., 1110., ..., 2466., 2466., 2466.]]], dtype=float32)\n",
       "Coordinates: (12/46)\n",
       "    time                                     datetime64[ns] 2017-07-28T08:25:...\n",
       "    id                                       <U38 'S2B_MSIL2A_20170728T082559...\n",
       "  * band                                     (band) <U3 'B02' 'B03' ... 'B09'\n",
       "  * x                                        (x) float64 2.619e+05 ... 2.645e+05\n",
       "  * y                                        (y) float64 -3.602e+06 ... -3.60...\n",
       "    s2:datatake_id                           <U34 'GS2B_20170728T082559_00204...\n",
       "    ...                                       ...\n",
       "    title                                    (band) <U36 'Band 2 - Blue - 10m...\n",
       "    proj:shape                               (band) object None ... [1830, 1830]\n",
       "    common_name                              (band) object 'blue' ... None\n",
       "    center_wavelength                        (band) float64 0.49 0.56 ... 0.945\n",
       "    full_width_half_max                      (band) float64 0.098 ... 0.026\n",
       "    epsg                                     int64 32634\n",
       "Attributes:\n",
       "    spec:        RasterSpec(epsg=32634, bounds=(261920, -3604480, 264480, -36...\n",
       "    crs:         epsg:32634\n",
       "    transform:   | 10.00, 0.00, 261920.00|\\n| 0.00,-10.00,-3601920.00|\\n| 0.0...\n",
       "    resolution:  10"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import planetary_computer\n",
    "import stackstac\n",
    "\n",
    "assets = [\"B02\", \"B03\", \"B04\", \"B05\", \"B06\", \"B07\", \"B09\"]\n",
    "data = stackstac.stack(\n",
    "    planetary_computer.sign(sentinel_item).to_dict(),\n",
    "    assets=assets,\n",
    "    dtype=\"float32\",\n",
    "    resolution=10,                  # resample all assets to the highest resolution\n",
    "    epsg=labels.rio.crs.to_epsg(),  # reproject to the labels CRS\n",
    "    bounds=labels.rio.bounds(),     # crop to the labels' bounds\n",
    ").where(lambda x: x > 0).squeeze()\n",
    "\n",
    "assert data.shape[1:] == labels.shape\n",
    "\n",
    "data = data.compute()\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f444ba8c-9b2d-4e71-b972-7ed4c399771e",
   "metadata": {},
   "source": [
    "Our shapes match (256 x 256 patch), but the labels don't quite."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "15037975-8527-4e7b-9493-32b478c31dc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;x&#x27; (x: 256)&gt;\n",
       "array([261925., 261935., 261945., ..., 264455., 264465., 264475.])\n",
       "Coordinates:\n",
       "    band         int64 1\n",
       "  * x            (x) float64 2.619e+05 2.619e+05 ... 2.645e+05 2.645e+05\n",
       "    spatial_ref  int64 0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'x'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 256</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2c0e6b5c-4b12-4235-a05f-1a261b5b8024' class='xr-array-in' type='checkbox' checked><label for='section-2c0e6b5c-4b12-4235-a05f-1a261b5b8024' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.619e+05 2.619e+05 2.619e+05 ... 2.645e+05 2.645e+05 2.645e+05</span></div><div class='xr-array-data'><pre>array([261925., 261935., 261945., ..., 264455., 264465., 264475.])</pre></div></div></li><li class='xr-section-item'><input id='section-d82e6a88-cc39-4623-855c-238b31e6746b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d82e6a88-cc39-4623-855c-238b31e6746b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>band</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-a3d255db-7125-4947-aea3-0dba53e765cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3d255db-7125-4947-aea3-0dba53e765cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-209b3ebb-617a-4f29-b953-c9297b746cef' class='xr-var-data-in' type='checkbox'><label for='data-209b3ebb-617a-4f29-b953-c9297b746cef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.619e+05 2.619e+05 ... 2.645e+05</div><input id='attrs-9fc3ed6b-315f-4bed-851d-df23b99309ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9fc3ed6b-315f-4bed-851d-df23b99309ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97a497fd-595f-4e13-8165-ee0574fdf444' class='xr-var-data-in' type='checkbox'><label for='data-97a497fd-595f-4e13-8165-ee0574fdf444' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([261925., 261935., 261945., ..., 264455., 264465., 264475.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-16a56bdd-280b-4bc7-b7c9-473f1445d553' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16a56bdd-280b-4bc7-b7c9-473f1445d553' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cef81a4-2ae0-4139-a43d-8c3e297ca7c1' class='xr-var-data-in' type='checkbox'><label for='data-5cef81a4-2ae0-4139-a43d-8c3e297ca7c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 34N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,21],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32634&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 34N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>21.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 34N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,21],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32634&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>261920.0 10.0 0.0 -3601920.0 0.0 -10.0</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5c3df43-ee9e-4a36-b076-60b1ae192ba8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b5c3df43-ee9e-4a36-b076-60b1ae192ba8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'x' (x: 256)>\n",
       "array([261925., 261935., 261945., ..., 264455., 264465., 264475.])\n",
       "Coordinates:\n",
       "    band         int64 1\n",
       "  * x            (x) float64 2.619e+05 2.619e+05 ... 2.645e+05 2.645e+05\n",
       "    spatial_ref  int64 0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels.x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1d52b9b8-4d48-4f16-8751-8204ef3fc103",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;x&#x27; (x: 256)&gt;\n",
       "array([261920., 261930., 261940., ..., 264450., 264460., 264470.])\n",
       "Coordinates: (12/37)\n",
       "    time                                     datetime64[ns] 2017-07-28T08:25:...\n",
       "    id                                       &lt;U38 &#x27;S2B_MSIL2A_20170728T082559...\n",
       "  * x                                        (x) float64 2.619e+05 ... 2.645e+05\n",
       "    s2:datatake_id                           &lt;U34 &#x27;GS2B_20170728T082559_00204...\n",
       "    s2:high_proba_clouds_percentage          float64 0.01307\n",
       "    sat:orbit_state                          &lt;U10 &#x27;descending&#x27;\n",
       "    ...                                       ...\n",
       "    s2:saturated_defective_pixel_percentage  float64 0.0\n",
       "    s2:not_vegetated_percentage              float64 50.9\n",
       "    s2:mean_solar_azimuth                    float64 32.11\n",
       "    constellation                            &lt;U10 &#x27;Sentinel 2&#x27;\n",
       "    proj:bbox                                object {6500020.0, 6390220.0, 19...\n",
       "    epsg                                     int64 32634</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'x'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 256</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-03875815-1b49-48dd-bb34-209f90787259' class='xr-array-in' type='checkbox' checked><label for='section-03875815-1b49-48dd-bb34-209f90787259' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.619e+05 2.619e+05 2.619e+05 ... 2.644e+05 2.645e+05 2.645e+05</span></div><div class='xr-array-data'><pre>array([261920., 261930., 261940., ..., 264450., 264460., 264470.])</pre></div></div></li><li class='xr-section-item'><input id='section-498fccc8-9be0-4c90-87c5-08daf8e1182d' class='xr-section-summary-in' type='checkbox'  ><label for='section-498fccc8-9be0-4c90-87c5-08daf8e1182d' class='xr-section-summary' >Coordinates: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-07-28T08:25:59.027000</div><input id='attrs-06d55140-5e61-4ae9-8e2d-362e53edd767' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06d55140-5e61-4ae9-8e2d-362e53edd767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-089eef10-1a41-4c0d-8f1b-ebfc7404de22' class='xr-var-data-in' type='checkbox'><label for='data-089eef10-1a41-4c0d-8f1b-ebfc7404de22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2017-07-28T08:25:59.027000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U38</div><div class='xr-var-preview xr-preview'>&#x27;S2B_MSIL2A_20170728T082559_R021...</div><input id='attrs-c974c7e7-03e4-412e-813b-e6023034eab5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c974c7e7-03e4-412e-813b-e6023034eab5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ecd6ed6-2c8a-4688-97e2-0fe7926088eb' class='xr-var-data-in' type='checkbox'><label for='data-1ecd6ed6-2c8a-4688-97e2-0fe7926088eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_MSIL2A_20170728T082559_R021_T34HBK&#x27;, dtype=&#x27;&lt;U38&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.619e+05 2.619e+05 ... 2.645e+05</div><input id='attrs-84d11601-f18b-4407-beb8-220a33bea494' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84d11601-f18b-4407-beb8-220a33bea494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd53c3d9-52be-4dab-920a-96a0f937b3f5' class='xr-var-data-in' type='checkbox'><label for='data-cd53c3d9-52be-4dab-920a-96a0f937b3f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([261920., 261930., 261940., ..., 264450., 264460., 264470.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datatake_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U34</div><div class='xr-var-preview xr-preview'>&#x27;GS2B_20170728T082559_002049_N02...</div><input id='attrs-9a68653d-5bbb-43e5-99bd-c63b889aff17' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a68653d-5bbb-43e5-99bd-c63b889aff17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04b2bf6f-605e-4e68-8b0b-23b6640d5984' class='xr-var-data-in' type='checkbox'><label for='data-04b2bf6f-605e-4e68-8b0b-23b6640d5984' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;GS2B_20170728T082559_002049_N02.12&#x27;, dtype=&#x27;&lt;U34&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:high_proba_clouds_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.01307</div><input id='attrs-88957158-975f-4790-bdfe-cbcc8fe85e9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88957158-975f-4790-bdfe-cbcc8fe85e9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b8f8040-53bc-4d0c-aeb4-0f66bdae9a1c' class='xr-var-data-in' type='checkbox'><label for='data-9b8f8040-53bc-4d0c-aeb4-0f66bdae9a1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.013067)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat:orbit_state</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;descending&#x27;</div><input id='attrs-027d3aa1-0fc4-4d8a-9b02-94196f6025d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-027d3aa1-0fc4-4d8a-9b02-94196f6025d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaebb75f-1015-4a19-9af1-6cb8f9f028a2' class='xr-var-data-in' type='checkbox'><label for='data-aaebb75f-1015-4a19-9af1-6cb8f9f028a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;descending&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mgrs_tile</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;34HBK&#x27;</div><input id='attrs-bbe2374b-f3f2-48d3-bebb-6b8dfad96e57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbe2374b-f3f2-48d3-bebb-6b8dfad96e57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d157fd-2af8-4167-8c94-3fd7dd98ee4e' class='xr-var-data-in' type='checkbox'><label for='data-97d157fd-2af8-4167-8c94-3fd7dd98ee4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;34HBK&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:medium_proba_clouds_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.06988</div><input id='attrs-d6754d82-3a62-4aa3-8fc7-61777f66ecd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6754d82-3a62-4aa3-8fc7-61777f66ecd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-167ee724-7d09-4103-ac9d-5edc50def25e' class='xr-var-data-in' type='checkbox'><label for='data-167ee724-7d09-4103-ac9d-5edc50def25e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.06988)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:degraded_msi_data_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-090300aa-edaa-4e65-ba2f-58dc322eddb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-090300aa-edaa-4e65-ba2f-58dc322eddb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7acc7df2-85fe-46b1-b3cf-d6767d0db7e9' class='xr-var-data-in' type='checkbox'><label for='data-7acc7df2-85fe-46b1-b3cf-d6767d0db7e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:processing_baseline</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U5</div><div class='xr-var-preview xr-preview'>&#x27;02.12&#x27;</div><input id='attrs-ce1794da-e6bd-4dcb-a122-b13e42e00106' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce1794da-e6bd-4dcb-a122-b13e42e00106' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df094f9e-940d-4761-b723-7ef28d032d96' class='xr-var-data-in' type='checkbox'><label for='data-df094f9e-940d-4761-b723-7ef28d032d96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;02.12&#x27;, dtype=&#x27;&lt;U5&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:thin_cirrus_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.000101</div><input id='attrs-de5052f6-840e-400f-85c4-6a6f38b295bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de5052f6-840e-400f-85c4-6a6f38b295bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb9fa146-38d9-42c4-91c4-3d24bd97f947' class='xr-var-data-in' type='checkbox'><label for='data-bb9fa146-38d9-42c4-91c4-3d24bd97f947' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.000101)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:cloud_shadow_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.008409</div><input id='attrs-ac795c0b-e948-4098-8b10-9c776969c34e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac795c0b-e948-4098-8b10-9c776969c34e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b739cfc9-20d2-4a8b-85d7-ff9aa699c9bf' class='xr-var-data-in' type='checkbox'><label for='data-b739cfc9-20d2-4a8b-85d7-ff9aa699c9bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.008409)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:dark_features_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.78</div><input id='attrs-4a916c40-a919-4c6a-bdcf-5b5a57be9d72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a916c40-a919-4c6a-bdcf-5b5a57be9d72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96fe35cb-6e6d-401c-adba-d39f1b65ed36' class='xr-var-data-in' type='checkbox'><label for='data-96fe35cb-6e6d-401c-adba-d39f1b65ed36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.77994)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:vegetation_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.018</div><input id='attrs-b6106e3b-c091-4000-bcfb-f0d855780cba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6106e3b-c091-4000-bcfb-f0d855780cba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84207297-b91c-454e-b0b0-28821bebb257' class='xr-var-data-in' type='checkbox'><label for='data-84207297-b91c-454e-b0b0-28821bebb257' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(3.017958)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:product_uri</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U65</div><div class='xr-var-preview xr-preview'>&#x27;S2B_MSIL2A_20170728T082559_N021...</div><input id='attrs-33ce5af2-bf85-48d8-ae3b-e2a8cd8767a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33ce5af2-bf85-48d8-ae3b-e2a8cd8767a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5edde58b-2687-4425-a37a-42a88d2003ac' class='xr-var-data-in' type='checkbox'><label for='data-5edde58b-2687-4425-a37a-42a88d2003ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_MSIL2A_20170728T082559_N0212_R021_T34HBK_20210210T155259.SAFE&#x27;,\n",
       "      dtype=&#x27;&lt;U65&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datastrip_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U64</div><div class='xr-var-preview xr-preview'>&#x27;S2B_OPER_MSI_L2A_DS_ESRI_202102...</div><input id='attrs-5988945c-79b4-42b2-8c12-67f940f4bd86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5988945c-79b4-42b2-8c12-67f940f4bd86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad5455fb-4d1b-4164-9594-376db5127caa' class='xr-var-data-in' type='checkbox'><label for='data-ad5455fb-4d1b-4164-9594-376db5127caa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_OPER_MSI_L2A_DS_ESRI_20210210T155259_S20170728T085822_N02.12&#x27;,\n",
       "      dtype=&#x27;&lt;U64&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mean_solar_zenith</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>57.79</div><input id='attrs-6b4f26b8-14d0-421c-98f5-d2645c96ae64' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b4f26b8-14d0-421c-98f5-d2645c96ae64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03ec5003-9585-47c3-9da1-0f5050d4bf91' class='xr-var-data-in' type='checkbox'><label for='data-03ec5003-9585-47c3-9da1-0f5050d4bf91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(57.79439579)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:generation_time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U24</div><div class='xr-var-preview xr-preview'>&#x27;2021-02-10T15:52:59.380Z&#x27;</div><input id='attrs-e9e1ab2a-80fa-431e-bfab-5362757f563b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9e1ab2a-80fa-431e-bfab-5362757f563b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3a563c9-b24b-4c1c-a180-65701a9e0b84' class='xr-var-data-in' type='checkbox'><label for='data-f3a563c9-b24b-4c1c-a180-65701a9e0b84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2021-02-10T15:52:59.380Z&#x27;, dtype=&#x27;&lt;U24&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:datatake_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;INS-NOBS&#x27;</div><input id='attrs-5add2d93-7492-481b-8e34-59c85f15bca0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5add2d93-7492-481b-8e34-59c85f15bca0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74a79d68-4aec-4fec-bcee-84034117887e' class='xr-var-data-in' type='checkbox'><label for='data-74a79d68-4aec-4fec-bcee-84034117887e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;INS-NOBS&#x27;, dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:water_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>43.31</div><input id='attrs-f8768ff3-7748-4eee-8cbf-f4cb14b06e55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8768ff3-7748-4eee-8cbf-f4cb14b06e55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9bed085-6080-4596-97b6-99a58710aca5' class='xr-var-data-in' type='checkbox'><label for='data-c9bed085-6080-4596-97b6-99a58710aca5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(43.308395)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:granule_id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U62</div><div class='xr-var-preview xr-preview'>&#x27;S2B_OPER_MSI_L2A_TL_ESRI_202102...</div><input id='attrs-f56e9383-cf2c-4c7f-829c-1bddcd6c9a39' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f56e9383-cf2c-4c7f-829c-1bddcd6c9a39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfc04d9d-f82f-4b42-bd38-748fa8195314' class='xr-var-data-in' type='checkbox'><label for='data-cfc04d9d-f82f-4b42-bd38-748fa8195314' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2B_OPER_MSI_L2A_TL_ESRI_20210210T155259_A002049_T34HBK_N02.12&#x27;,\n",
       "      dtype=&#x27;&lt;U62&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>platform</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;Sentinel-2B&#x27;</div><input id='attrs-fa2617e0-e3f7-4701-9312-57ea4ab41a57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa2617e0-e3f7-4701-9312-57ea4ab41a57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa5a2103-5bfa-4865-8518-06e9a9a2d91a' class='xr-var-data-in' type='checkbox'><label for='data-fa5a2103-5bfa-4865-8518-06e9a9a2d91a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;Sentinel-2B&#x27;, dtype=&#x27;&lt;U11&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:nodata_pixel_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>8.033</div><input id='attrs-4abea6e7-43fa-4747-95d8-e3f577a9ae22' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4abea6e7-43fa-4747-95d8-e3f577a9ae22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cffd2cd-4692-4322-8244-a52e879c95b7' class='xr-var-data-in' type='checkbox'><label for='data-4cffd2cd-4692-4322-8244-a52e879c95b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(8.033467)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:unclassified_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.8731</div><input id='attrs-7cb1df03-0f78-4b1b-905c-3d28fd43a54b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7cb1df03-0f78-4b1b-905c-3d28fd43a54b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23b7b962-5260-4c16-a793-d0bab8c819a7' class='xr-var-data-in' type='checkbox'><label for='data-23b7b962-5260-4c16-a793-d0bab8c819a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.8731)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:snow_ice_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.02921</div><input id='attrs-802c8b17-031d-4f31-b144-066a95e38eb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-802c8b17-031d-4f31-b144-066a95e38eb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8400ce87-df86-45e8-98f7-c8297982f44d' class='xr-var-data-in' type='checkbox'><label for='data-8400ce87-df86-45e8-98f7-c8297982f44d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.029211)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sat:relative_orbit</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>21</div><input id='attrs-a040a157-e977-464b-8b91-4fa46db97825' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a040a157-e977-464b-8b91-4fa46db97825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c782a963-20af-4dbe-9889-16edc6f41cdc' class='xr-var-data-in' type='checkbox'><label for='data-c782a963-20af-4dbe-9889-16edc6f41cdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(21)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:reflectance_conversion_factor</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9692</div><input id='attrs-2bfb5691-c011-4c9d-8312-ef72d5e1eb08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bfb5691-c011-4c9d-8312-ef72d5e1eb08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a8ef397-6852-4e2d-aa11-f1b05daff380' class='xr-var-data-in' type='checkbox'><label for='data-0a8ef397-6852-4e2d-aa11-f1b05daff380' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.96922954)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eo:cloud_cover</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.08305</div><input id='attrs-96c2f851-5f56-4004-9cc1-68a9e38a06eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-96c2f851-5f56-4004-9cc1-68a9e38a06eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8c2de10-39a0-4580-9606-77816624db1e' class='xr-var-data-in' type='checkbox'><label for='data-c8c2de10-39a0-4580-9606-77816624db1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.083048)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>instruments</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;msi&#x27;</div><input id='attrs-dbd191cc-2783-4c4f-aa7e-5ea6599e7c37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dbd191cc-2783-4c4f-aa7e-5ea6599e7c37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8170c664-5947-4d1c-bb46-84428133a513' class='xr-var-data-in' type='checkbox'><label for='data-8170c664-5947-4d1c-bb46-84428133a513' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;msi&#x27;, dtype=&#x27;&lt;U3&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32734</div><input id='attrs-6dfbc496-ab69-4640-8257-31d14e7d6f03' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6dfbc496-ab69-4640-8257-31d14e7d6f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-980562ca-0100-43c4-b02e-fab63d699d18' class='xr-var-data-in' type='checkbox'><label for='data-980562ca-0100-43c4-b02e-fab63d699d18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32734)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:product_type</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;S2MSI2A&#x27;</div><input id='attrs-4ceded4a-bdc7-4fcf-9f99-7298bffc6699' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ceded4a-bdc7-4fcf-9f99-7298bffc6699' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b8020d4-063b-45bc-bc71-796b4fb1ff2a' class='xr-var-data-in' type='checkbox'><label for='data-3b8020d4-063b-45bc-bc71-796b4fb1ff2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;S2MSI2A&#x27;, dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:saturated_defective_pixel_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-fad93b83-cbfd-42e0-9603-8e2542f6bb78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fad93b83-cbfd-42e0-9603-8e2542f6bb78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1c2ccc3-dbcf-4c52-a0bf-76859f2b80ec' class='xr-var-data-in' type='checkbox'><label for='data-a1c2ccc3-dbcf-4c52-a0bf-76859f2b80ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:not_vegetated_percentage</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.9</div><input id='attrs-1d14b5d6-c2d1-48b8-b3b0-e553c066efd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d14b5d6-c2d1-48b8-b3b0-e553c066efd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d81814b3-e815-48b3-bcdf-54cdfcab7a37' class='xr-var-data-in' type='checkbox'><label for='data-d81814b3-e815-48b3-bcdf-54cdfcab7a37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(50.899941)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>s2:mean_solar_azimuth</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>32.11</div><input id='attrs-3ba46d94-dc1f-436b-8171-ee20723f93e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ba46d94-dc1f-436b-8171-ee20723f93e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dde350e-c1dd-4f17-a644-ae4c164dde7d' class='xr-var-data-in' type='checkbox'><label for='data-8dde350e-c1dd-4f17-a644-ae4c164dde7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32.10980837)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>constellation</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U10</div><div class='xr-var-preview xr-preview'>&#x27;Sentinel 2&#x27;</div><input id='attrs-eed6acb5-1e90-4442-85f3-03af1ac17eaa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eed6acb5-1e90-4442-85f3-03af1ac17eaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24b2aaa1-7828-479c-80ef-115e62c4a0c1' class='xr-var-data-in' type='checkbox'><label for='data-24b2aaa1-7828-479c-80ef-115e62c4a0c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;Sentinel 2&#x27;, dtype=&#x27;&lt;U10&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>proj:bbox</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>{6500020.0, 6390220.0, 199980.0,...</div><input id='attrs-e94ebb6f-c9e1-4cd1-9143-b51fb71a0593' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e94ebb6f-c9e1-4cd1-9143-b51fb71a0593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38a92f56-b50a-4190-829e-f133bf1bb2bd' class='xr-var-data-in' type='checkbox'><label for='data-38a92f56-b50a-4190-829e-f133bf1bb2bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array({6500020.0, 6390220.0, 199980.0, 309780.0}, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>epsg</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>32634</div><input id='attrs-cdca070c-aaa6-484d-8810-88993e9f8c8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cdca070c-aaa6-484d-8810-88993e9f8c8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb9771af-1145-4e72-a5d6-8cb0be73286e' class='xr-var-data-in' type='checkbox'><label for='data-eb9771af-1145-4e72-a5d6-8cb0be73286e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(32634)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7d305a7-a90c-4ff3-a51e-0ea5dabb4a4d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d7d305a7-a90c-4ff3-a51e-0ea5dabb4a4d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'x' (x: 256)>\n",
       "array([261920., 261930., 261940., ..., 264450., 264460., 264470.])\n",
       "Coordinates: (12/37)\n",
       "    time                                     datetime64[ns] 2017-07-28T08:25:...\n",
       "    id                                       <U38 'S2B_MSIL2A_20170728T082559...\n",
       "  * x                                        (x) float64 2.619e+05 ... 2.645e+05\n",
       "    s2:datatake_id                           <U34 'GS2B_20170728T082559_00204...\n",
       "    s2:high_proba_clouds_percentage          float64 0.01307\n",
       "    sat:orbit_state                          <U10 'descending'\n",
       "    ...                                       ...\n",
       "    s2:saturated_defective_pixel_percentage  float64 0.0\n",
       "    s2:not_vegetated_percentage              float64 50.9\n",
       "    s2:mean_solar_azimuth                    float64 32.11\n",
       "    constellation                            <U10 'Sentinel 2'\n",
       "    proj:bbox                                object {6500020.0, 6390220.0, 19...\n",
       "    epsg                                     int64 32634"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbd67aa8-5856-49b9-822c-e9e8762b9e9e",
   "metadata": {},
   "source": [
    "They're off by half a pixel (5 units in coordinate space). This probably just comes from one dataset labeling the center of the pixel and the other labeling the top-left corner. It'd be good to verify that. In the meantime, let's just update the labels on `data`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b406a81e-7230-47f7-8ee2-d54eacf5aafc",
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = (\n",
    "    data.assign_coords(\n",
    "        y=lambda ds: (ds.y - 5).round(),   # fix half-pixel label issue\n",
    "        x=lambda ds: (ds.x + 5).round(),\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fcace26-ab6b-4ff2-aad6-3347ac839dfb",
   "metadata": {},
   "source": [
    "Now we should be all set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0c78c723-7675-4790-a691-706f37076feb",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert (data2.x.data == labels.x.data).all()\n",
    "assert (data2.y.data == labels.y.data).all()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de638bf7-ce62-4f8b-9b32-5a4f1ae04e04",
   "metadata": {},
   "source": [
    "And we can spot-check out transformation visually. Let's plot the Red band."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2bc34191-ed9a-4ac7-b4ba-f067354e50c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rasterio.plot.show(data2.sel(band=\"B04\"), cmap=\"Reds\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca533de3-2d46-4997-8482-ee7525f8280e",
   "metadata": {},
   "source": [
    "Which looks pretty close to what we want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "21f83b6f-b447-434a-a0d3-0d29dad0e85a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rasterio.plot.show(labels);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7632e43-5306-41c6-a015-8a75247323a6",
   "metadata": {},
   "source": [
    "## Train a Baseline Model\n",
    "\n",
    "We've come this far, we might as well do some machine learnign! We'll use a scikit-learn K-Nearest Neighbors classifier to establish a baseline model for this dataset.\n",
    "\n",
    "As usual with scikit-learn, the estimator expects an intput array of `(n_samples, n_features)`. In this case a \"sample\" will be a single pixel, and the feature will be all the bands. We'll get to that shape by stacking all the the pixels into one long array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0059eafb-4d55-4927-ac16-4947128e38e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(65536, 7)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data2.stack(pixel=(\"y\", \"x\")).T\n",
    "X.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf0524c1-c730-4466-8c15-63e8f22b13e7",
   "metadata": {},
   "source": [
    "We'll also reshape the labels to be a 1-D array `(n_features,)`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "389e627b-cd3e-41f0-9cea-05fcb59c4add",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(65536,)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = labels.stack(pixel=(\"y\", \"x\"))\n",
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e7c077f8-6a10-4ab7-824b-c171c8bfa97f",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert X.indexes['pixel'].equals(y.indexes['pixel'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3431d62c-8a53-4fba-99f3-08032699aee8",
   "metadata": {},
   "source": [
    "Let's split our data (this single image) into training and test sets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a9a7e599-0c29-4ab2-972e-35a458deff6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sklearn.neighbors\n",
    "import sklearn.model_selection\n",
    "\n",
    "X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "367b6ee8-f415-4cb5-be27-508cb5168f36",
   "metadata": {},
   "source": [
    "And fit the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cc12900c-63df-4a60-b5e9-bb68c15f4094",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 43.7 ms, sys: 3.96 ms, total: 47.7 ms\n",
      "Wall time: 47 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nn = sklearn.neighbors.KNeighborsClassifier()\n",
    "%time nn.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6e0a057-abd1-4708-b413-61ef29227b01",
   "metadata": {},
   "source": [
    "And check it on the train and test datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4cecc897-0c76-4bd5-ab67-f779a9e062c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.51 s, sys: 0 ns, total: 1.51 s\n",
      "Wall time: 1.51 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.8942057291666666"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time nn.score(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bb6df3cc-e473-4f17-9e19-3ea6686034cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 522 ms, sys: 0 ns, total: 522 ms\n",
      "Wall time: 521 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.84075927734375"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time nn.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dc0e541-00cb-4a9d-98ca-c2252546c064",
   "metadata": {},
   "source": [
    "We're overfitting a bit (89% on our training dataset, 84% on our test), but not too bad. Let's visualize the predictions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4d67386f-a07d-493c-bf57-7dd26e18e848",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "yhat = nn.predict(X)\n",
    "\n",
    "rasterio.plot.show(\n",
    "    yhat.reshape(labels.shape)\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6964459-2f71-4998-83ad-d45cbd3a317d",
   "metadata": {},
   "source": [
    "Not *awful*, but certainly room for improvement. A few things to note:\n",
    "\n",
    "1. We haven't done any fancy preprocessing (e.g. mosaicing scenes to remove clouds) that could improve this model.\n",
    "2. We haven't done any fancy hyper-parameter tuning that could improve this model.\n",
    "3. We aren't using the spatial \"context\" of each pixel at all, which leads to the splotchiness in our predictions. If a pixel is surrounded on all sides by Wheat pixels, then it's probably a Wheat pixel. But our current model has no idea about the neighboring pixels.\n",
    "4. There's a lot of variation across the scenes in the label data. Our model hasn't seen any of those, so likely won't generalize well to them. We'd need to train on more data."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "1792dda3292141c6b54a76ec61e737eb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "layout": "IPY_MODEL_f741701f6a0b4b46836126f9bf10ca7e"
      }
     },
     "f741701f6a0b4b46836126f9bf10ca7e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}