Regression based mapping of forest aboveground biomass

Introductory slides to the EnMAP-Box tutorial
HYPERedu
HYPERedu

Tutorial Description

This tutorial focuses on mapping forest Aboveground Biomass (AGB) from simulated EnMAP imagery. The slide collection provides the theoretical foundation for the tutorial, including general introductions into AGB, how it’s used, and why it’s important, as well as regression-based mapping of AGB using optical remote sensing data. The practical provides hands-on training for working with the EnMAP-Box, including a basic introduction into its functionalities, including built-in tools such as ImageMath, Scatterplot, and the Regression Workflow.

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The SAR-EDU material is published under a Creative Commons Licence. This work is licenced under a Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

YOU ARE FREE TO:
Share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and built upon the material for any purpose, even commercially.

UNDER THE FOLLOWING TERMS:
Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike – If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. The licensor cannot revoke these freedoms as long as you follow the license terms!

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The SAR-EDU material is published under a Creative Commons Licence. This work is licenced under a Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

YOU ARE FREE TO:
Share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and built upon the material for any purpose, even commercially.

UNDER THE FOLLOWING TERMS:
Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike – If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. The licensor cannot revoke these freedoms as long as you follow the license terms!

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