metadata.py

# %%
"""
<table class="ee-notebook-buttons" align="left">
    <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/ImageCollection/metadata.ipynb"><img width=32px src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" /> View source on GitHub</a></td>
    <td><a target="_blank"  href="https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/ImageCollection/metadata.ipynb"><img width=26px src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png" />Notebook Viewer</a></td>
    <td><a target="_blank"  href="https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/ImageCollection/metadata.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" /> Run in Google Colab</a></td>
</table>
"""

# %%
"""
## Install Earth Engine API and geemap
Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geemap](https://geemap.org). The **geemap** Python package is built upon the [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) and [folium](https://github.com/python-visualization/folium) packages and implements several methods for interacting with Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, and `Map.centerObject()`.
The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its [dependencies](https://github.com/giswqs/geemap#dependencies), including earthengine-api, folium, and ipyleaflet.
"""

# %%
# Installs geemap package
import subprocess

try:
    import geemap
except ImportError:
    print('Installing geemap ...')
    subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])

# %%
import ee
import geemap

# %%
"""
## Create an interactive map 
The default basemap is `Google Maps`. [Additional basemaps](https://github.com/giswqs/geemap/blob/master/geemap/basemaps.py) can be added using the `Map.add_basemap()` function. 
"""

# %%
Map = geemap.Map(center=[40,-100], zoom=4)
Map

# %%
"""
## Add Earth Engine Python script 
"""

# %%
# Add Earth Engine dataset
# Load a Landsat 8 ImageCollection for a single path-row.
collection = ee.ImageCollection('LANDSAT/LC08/C01/T1_TOA') \
    .filter(ee.Filter.eq('WRS_PATH', 44)) \
    .filter(ee.Filter.eq('WRS_ROW', 34)) \
    .filterDate('2014-03-01', '2014-08-01')
print('Collection: ', collection.getInfo())

# Get the number of images.
count = collection.size()
print('Count: ', count.getInfo())

# Get the date range of images in the collection.
range = collection.reduceColumns(ee.Reducer.minMax(), ["system:time_start"])
print('Date range: ', ee.Date(range.get('min')).getInfo(), ee.Date(range.get('max')).getInfo())

# Get statistics for a property of the images in the collection.
sunStats = collection.aggregate_stats('SUN_ELEVATION')
print('Sun elevation statistics: ', sunStats.getInfo())

# Sort by a cloud cover property, get the least cloudy image.
image = ee.Image(collection.sort('CLOUD_COVER').first())
print('Least cloudy image: ', image.getInfo())

# Limit the collection to the 10 most recent images.
recent = collection.sort('system:time_start', False).limit(10)
print('Recent images: ', recent.getInfo())



# %%
"""
## Display Earth Engine data layers 
"""

# %%
Map.addLayerControl() # This line is not needed for ipyleaflet-based Map.
Map