Instructor: Andreas Rabe, Benjamin Jakimow and Fabian Thiel
Part I: Introduction to the EnMAP-Box
In the first part of the tutorial, we will show basic components of the EnMAP-Box. Participants will learn how to manage, visualize and process raster and vector data inside the EnMAP-Box. We will detail the multiple-viewer concept of the EnMAP-Box, that allows the exploration of data in different visualizations at the same time. Here, we will especially highlight how we capitalize on the spectral characteristics of optical (hyperspectral) EO data, e.g., by correctly plotting pixel profiles against the given center wavelength, or by quickly selecting target bands for visualization. Finally, we will perform a Classification Analysis Workflow using PRISMA or (simulated) EnMAP data to illustrate EO data processing.
Part II: Working with Spectral Libraries
Second part of our tutorial focusses on the handling and visualization of Spectral Libraries. We show how spectral libraries can be created and how single spectral profiles are described using QGIS vector attributes (“labeling”). Based on that, participants will learn how spectral profiles can be visualized based on their attribute values, and how spectral libraries are imported from and exported to other data formats. Finally, we show the Spectral Processing workflow that allows to process spectral profiles using the same algorithms or workflows, which are used to process imaging spectroscopy raster data.
Prerequisites: Participants need to bring their own laptops with QGIS 3.24 and the EnMAP-Box plug-in 3.10 preinstalled. Installation instructions: https://enmap-box.readthedocs.io/en/latest/usr_section/usr_installation.html
Number of participants: max. 40
Date: 21st June 2022, 10:00-12:00 or 13:00-15:00 (this tutorial is offered two times)
Location: Main venue lecture hall, building H (google maps) at Albert Einstein Science Park, 14473 Potsdam