This tutorial focuses on regression-based unmixing of urban land cover from simulated EnMAP imagery. The slide collection provides the theoretical foundation for the tutorial, including general introductions into urban land cover mapping and regression-based unmixing using synthetically mixed training data. The practical provides hands-on training for working with the EnMAP-Box, including a basic introduction into its functionalities and spectral library handling, as well as the regression-based unmixing processing chain.
Regression-based unmixing of urban land cover
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