kopia lustrzana https://github.com/OpenDroneMap/ODM
NDVI, NDRE and GNDVI
rodzic
f82e39463d
commit
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@ -3,12 +3,9 @@
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# NDVI - Normalized Difference Vegetation Index - (NIR−RED)/(NIR + RED)
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# NDRE - Normalized Difference Red Edge - (NIR−RE)/(NIR + RE)
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# GNDVI - Green NDVI - (NIR−GREEN)/(NIR + GREEN)
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# GRVI - Green RVI - NIR/GREEN
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# https://support.micasense.com/hc/en-us/articles/226531127-Creating-agricultural-indices-NDVI-NDRE-in-QGIS-
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# requires python-gdal
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import numpy
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import argparse
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import os.path
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@ -26,7 +23,7 @@ except ImportError:
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def parse_args():
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argument_parser = argparse.ArgumentParser('Createa from a multispectral orthophoto \
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a Geotif with NDVI, NDRE, GNDVI and GRVI agricultural indices')
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a Geotif with NDVI, NDRE and GNDVI agricultural indices')
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argument_parser.add_argument("orthophoto", metavar="<orthophoto.tif>",
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type=argparse.FileType('r'),
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@ -51,64 +48,6 @@ a Geotif with NDVI, NDRE, GNDVI and GRVI agricultural indices')
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return argument_parser.parse_args()
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def calc_ndvi(nir, red):
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"""
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Calculates the NDVI of an orthophoto using nir and red bands.
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:param nir: An array containing the nir band
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:param vis: An array containing the red band
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:return: An array that will be exported as a tif
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"""
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# Take the orthophoto and do nir - red / nir + red
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# for each cell, calculate ndvi (masking out where divide by 0)
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ndvi = numpy.empty(nir.shape, dtype=float)
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mask = numpy.not_equal((nir + red), 0.0)
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return numpy.choose(mask, (-1.0, numpy.true_divide(numpy.subtract(nir, red), numpy.add(nir, red))))
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def calc_ndre(nir, re):
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"""
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Calculates the NDRE of an orthophoto using nir and re bands.
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:param nir: An array containing the nir band
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:param re: An array containing the rededge band
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:return: An array that will be exported as a tif
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"""
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# Take the orthophoto and do nir - re / nir + re
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# for each cell, calculate ndre (masking out where divide by 0)
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ndre = numpy.empty(nir.shape, dtype=float)
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mask = numpy.not_equal((nir + re), 0.0)
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return numpy.choose(mask, (-1.0, numpy.true_divide(numpy.subtract(nir, re), numpy.add(nir, re))))
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def calc_gndvi(nir, green):
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"""
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Calculates the GNDVI of an orthophoto using nir and green bands.
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:param nir: An array containing the nir band
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:param green: An array containing the green band
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:return: An array that will be exported as a tif
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"""
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# Take the orthophoto and do nir - re / nir + re
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# for each cell, calculate ndre (masking out where divide by 0)
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gndvi = numpy.empty(nir.shape, dtype=float)
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mask = numpy.not_equal((nir + green), 0.0)
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return numpy.choose(mask, (-1.0, numpy.true_divide(numpy.subtract(nir, green), numpy.add(nir, green))))
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def calc_grvi(nir, green):
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"""
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Calculates the GRVI of an orthophoto using nir and green bands.
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:param nir: An array containing the nir band
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:param green: An array containing the green band
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:return: An array that will be exported as a tif
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"""
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# Take the orthophoto and do nir - re / nir + re
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# for each cell, calculate ndre (masking out where divide by 0)
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grvi = numpy.empty(nir.shape, dtype=float)
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mask = numpy.not_equal((nir + green), 0.0)
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return numpy.choose(mask, (-1.0, numpy.true_divide(nir, green)))
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if __name__ == "__main__":
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# Supress/hide warning when dividing by zero
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@ -136,7 +75,6 @@ if __name__ == "__main__":
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re_matrix=orthophoto[args.re-1].astype(float)
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nir_matrix=orthophoto[args.nir-1].astype(float)
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outfile = args.out
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# NDVI
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@ -153,17 +91,12 @@ if __name__ == "__main__":
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#gndvi = calc_gndvi(nir_matrix, green_matrix)
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gndvi = (nir_matrix.astype(float) - green_matrix.astype(float)) / (nir_matrix + green_matrix)
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# GRVI
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print("Computing GRVI")
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#grvi = calc_grvi(nir_matrix, green_matrix)
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grvi = (nir_matrix.astype(float) / green_matrix)
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__import__("IPython").embed()
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print("Saving Files")
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# export raster
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for name, matrix in zip(['ndvi', 'ndre', 'gndvi' ,'grvi'] ,[ndvi,ndre,gndvi,grvi] ):
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for name, matrix in zip(['ndvi', 'ndre', 'gndvi' ] ,[ndvi,ndre,gndvi] ):
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print(name)
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out_driver = gdal.GetDriverByName('GTiff')\
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.Create(name+'_'+outfile.name, int(ndvi.shape[1]), int(ndvi.shape[0]), 1, gdal.GDT_Float32)
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