Beyond the Visible – EnMAP data access and image preprocessing techniques

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Course Transcript Description

This resource provides a general introduction to the principles of hyperspectral image preprocessing and how this workflow is reflected in EnMAP products. Furthermore, the course provides a guide through the somewhat complicated process of ordering EnMAP data and gives access to free data sources, open-source software and hands-on training exercises.

This document contains the entire interactive MOOC “Beyond the Visible – EnMAP data access and image preprocessing techniques”, published in the first version in July 2023. However, users who want to complete the course with a certificate need to participate in the course and pass the final quiz of the online version of the course.

How to cite this course: A. Brosinsky, S. Foerster, K. Koch, M. Brell, D. Scheffler, N. Pinnel (2023). Beyond the Visible – EnMAP data access and image preprocessing techniques. Massive Open Online Course. Course material. HYPERedu, EnMAP education initiative, GFZ Potsdam, GFZ Data Services, published July 2023. 10.48440/enmap.2023.001.

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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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