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footprint.py
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footprint.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
/***************************************************************************
Name : footprint
Description : Create footprint from image
Arguments : Image
-------------------
begin : 2016-06-23
copyright : (C) 2016 by Luiz Motta
email : motta dot luiz at gmail.com
***************************************************************************/
/***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************/
"""
from osgeo import ( gdal, ogr, osr )
from gdalconst import ( GA_ReadOnly, GA_Update )
import os, sys, struct, json
from optparse import OptionParser
class Footprint():
gdal_sctruct_types = {
gdal.GDT_Byte: 'B',
gdal.GDT_UInt16: 'H',
gdal.GDT_Int16: 'h',
gdal.GDT_UInt32: 'I',
gdal.GDT_Int32: 'i',
gdal.GDT_Float32: 'f',
gdal.GDT_Float64: 'd'
}
def __init__(self, filenameImage):
self.filename = filenameImage
def getGeom_NumParts(self):
def getDatasetMem(datatype):
ds = drv_mem.Create( '', infoimage['xsize'], infoimage['ysize'], 1, datatype )
ds.SetProjection( infoimage['wktSRS'] )
ds.SetGeoTransform( infoimage['transform'] )
return ds
def populateMask_origin(datatype_mask):
xoff, xsize, ysize = 0, infoimage['xsize'], 1
format_struct_img = self.gdal_sctruct_types[ infoimage['datatype'] ] * xsize * ysize
format_struct__mask = self.gdal_sctruct_types[ datatype_mask ] * xsize * ysize
for row in xrange( infoimage['ysize'] ):
line = band_img.ReadRaster( xoff, row, xsize, ysize, xsize, ysize, infoimage['datatype'] )
value = list( struct.unpack( format_struct_img, line) )
del line
for col in xrange( infoimage['xsize'] ):
value[ col ] = int( value[ col ] != 0 )
line = struct.pack( format_struct__mask, *value )
del value
band_mask.WriteRaster( xoff, row, xsize, ysize, line )
del line
def populateMask1(datatype_mask):
xoff, xsize, ysize = 0, infoimage['xsize'], 1
format_struct_img = self.gdal_sctruct_types[ infoimage['datatype'] ] * xsize * ysize
format_struct__mask = self.gdal_sctruct_types[ datatype_mask ] * xsize * ysize
for row in xrange( infoimage['ysize'] ):
line = band_img.ReadRaster( xoff, row, xsize, ysize, xsize, ysize, infoimage['datatype'] )
value = list( struct.unpack( format_struct_img, line) )
del line
for col in xrange( infoimage['xsize'] ):
value[ col ] = int( value[ col ] != 0 )
line = struct.pack( format_struct__mask, *value )
del value
band_mask.WriteRaster( xoff, row, xsize, ysize, line )
del line
def populateMask2(datatype_mask):
xoff, xsize, ysize = 0, infoimage['xsize'], 1
format_struct_img = self.gdal_sctruct_types[ infoimage['datatype'] ] * xsize * ysize
format_struct__mask = self.gdal_sctruct_types[ datatype_mask ] * xsize * ysize
value_new = []
for row in xrange( infoimage['ysize'] ):
line = band_img.ReadRaster( xoff, row, xsize, ysize, xsize, ysize, infoimage['datatype'] )
value = list( struct.unpack( format_struct_img, line) )
del line
for index, item in enumerate(value):
value[ index ] = int( value[ index ] != 0 )
line = struct.pack( format_struct__mask, *value )
del value
band_mask.WriteRaster( xoff, row, xsize, ysize, line )
del line
def getGeomsSieve():
srs = osr.SpatialReference()
srs.ImportFromWkt( infoimage['wktSRS'] )
drv_poly = ogr.GetDriverByName('MEMORY')
ds_poly = drv_poly.CreateDataSource('memData')
layer_poly = ds_poly.CreateLayer( 'memLayer', srs, ogr.wkbPolygon )
field = ogr.FieldDefn("dn", ogr.OFTInteger)
layer_poly.CreateField( field )
idField = 0
gdal.Polygonize( band_sieve, None, layer_poly, idField, [], callback=None )
if gdal.GetLastErrorType() != 0:
return { 'isOk': False, 'msg': gdal.GetLastErrorMsg() }
geoms = []
layer_poly.SetAttributeFilter("dn = 1")
for feat in layer_poly:
geoms.append( feat.GetGeometryRef().Clone() )
ds_poly = layer_poly = None
return { 'isOk': True, 'geoms': geoms }
ds_img = gdal.Open( self.filename, GA_ReadOnly )
band_img = ds_img.GetRasterBand( 1 )
infoimage = {
'datatype': band_img.DataType,
'wktSRS': ds_img.GetProjection(),
'transform': ds_img.GetGeoTransform(),
'xsize': ds_img.RasterXSize, 'ysize': ds_img.RasterYSize
}
if not infoimage['datatype'] in self.gdal_sctruct_types.keys():
ds_img = None
return { 'isOk': False, 'msg': "Type of image not supported"}
drv_mem = gdal.GetDriverByName('MEM')
datatype_out = gdal.GDT_Byte
# Mask
ds_mask = getDatasetMem( datatype_out )
band_mask = ds_mask.GetRasterBand(1)
populateMask2( datatype_out )
ds_img = band_img = None
# Sieve
pSieve = { 'threshold': 100, 'connectedness': 8 }
ds_sieve = getDatasetMem( datatype_out )
band_sieve = ds_sieve.GetRasterBand(1)
gdal.SieveFilter( band_mask, None, band_sieve, pSieve['threshold'], pSieve['connectedness'], [], callback=None )
ds_mask = band_mask = None
if gdal.GetLastErrorType() != 0:
return { 'isOk': False, 'msg': gdal.GetLastErrorMsg() }
# Geoms
vreturn = getGeomsSieve()
ds_sieve = band_sieve = None
if not vreturn['isOk']:
return { 'isOk': False, 'msg': vreturn['msg'] }
geomsSieve = vreturn['geoms']
numGeoms = len( geomsSieve )
if numGeoms == 0:
return { 'isOk': False, 'msg': "Not exist geometry from image '%s'" % self.filename }
geomUnion = ogr.Geometry( ogr.wkbMultiPolygon )
for id in xrange( numGeoms ):
geomUnion.AddGeometry( geomsSieve[ id ] )
return {
'isOk': True,
'geom': geomUnion.UnionCascaded(),
'numparts': numGeoms,
'wktSRS': infoimage['wktSRS']
}
def run( filename ):
import time
footprint = Footprint( filename )
print time.ctime()
vreturn = footprint.getGeom_NumParts()
print time.ctime()
if not vreturn['isOk']:
print vreturn['msg']
return
data = {
"type": "FeatureCollection",
"features": [
{
"type": "Feature", "properties": {"numparts": vreturn['numparts'] },
"geometry": json.loads( vreturn['geom'].ExportToJson() )
}
]
}
# Json
filename = os.path.splitext( filename )[0]
filename = "%s.geojson" % filename
with open( filename, 'w') as f:
json.dumps( data, f )
def main():
usage = "usage: %prog filename.tif"
parser = OptionParser(usage)
# define options
(opts, args) = parser.parse_args()
if len(sys.argv) == 1:
parser.print_help()
return 1
elif len(args) == 0:
print("No image provided. Nothing to do!")
parser.print_help()
return 1
else:
return run( args[0] )
if __name__ == "__main__":
sys.exit( main() )
# footprint.py '/home/lmotta/data/landsat_imgs/LC82270612015226LGN00_r6g5b4.tif'