This is a script that reads in Landsat-8 data, Esri Sentinel-2 10m land cover time series data and train a random forest classification algorithm to estimate fractional built cover at 30m scale. The trained model can be used to produce fractional land cover for other regions.
scikit-learn
sentinel-2
landsat-8
gdal-python
sub-pixel
landcover-classification
randomforestclassifier
builtup-index
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Updated
Mar 31, 2022 - Python