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 to 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 to its functionalities and spectral library handling, as well as the regression-based unmixing processing chain.
This tutorial focuses on regression-based unmixing of urban land cover from simulated EnMAP imagery. Hands-on training for working with the EnMAP-Box, including a basic introduction to its functionalities and spectral library handling, is part of this tutorial, as well as hands-on training on the regression-based unmixing processing chain. The associated slide collection “Imaging spectroscopy for urban mapping” provides the theoretical foundation for this tutorial, including a general overview of urban land cover mapping, as well as regression-based unmixing using synthetically mixed training data.
This tutorial was originally published in September 2020. The revised version is accessible since February 2023. Complementary to this tutorial, the unit “Imaging spectroscopy Imaging spectroscopy for urban mapping” provides an introduction to the capabilities of imaging spectroscopy (IS) for urban mapping.
How to cite this tutorial: A. Okujeni, S. van der Linden (2021). Regression-based unmixing of urban land cover – Introductory slides to the EnMAP-Box tutorial. HYPERedu, EnMAP education initiative, Humboldt-Universität zu Berlin; originally published March 2019, revised February 2023.
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