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Code for exploring postprocessing effects on high frequency global land cover maps for change assessment

The src directory contains all of the code used in the paper. The subdirectories and files are numbered in the order of processing.

To make use of input data, you need to create a data directory and add the necessary raw data files into the subdirectory raw. See individual processing files for the exact filenames. The files can be obtained on request from IIASA and WUR.

Similarly, you might need to create an output directory for storing output figures.

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Effort for making BFAST powered by deep learning in a more supervised and multivariate manner.

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