Agri-04: Imaging Spectroscopy for Agricultural Applications - Lab Data Acquisition
Channel: HYPERedu
Date: 2022-12-12

Some of the variables that we want to evaluate on the ground as reference for calibration and/or validation of our retrieval algorithms cannot be measured in-situ (in the field) but need to be assessed in the lab. Our student assistants will show you how we assess Leaf Mass Area (LMA), Carbon and Nitrogen Content, plant water content and above-ground biomass.

**** FREE ONLINE COURSE ****
'Beyond the Visible – Imaging Spectroscopy for Agricultural Applications' is an advanced short course on Hyperspectral Remote Sensing particularly for agricultural applications and is presented by HYPERedu and EO-College.

OPEN FROM 12 DECEMBER 2022, 08:00 GMT

Register now: https://eo-college.org/courses/beyond-the-visible-imaging-spectroscopy-for-agricultural-applications/

Building on the fundamentals covered in the Basic MOOC ‚Beyond the Visible – Introduction to Hyperspectral Remote Sensing’, this course teaches the application of imaging spectroscopy in an agricultural context. Participants are introduced to the physicochemical basics of leaf and canopy reflectance, biophysical and biochemical variables known as 'vegetation traits', various data sources, specific methods commonly used in agricultural applications and open-source software to process imaging spectroscopy data, all while comprising several hands-on training exercises. 
The course was developed by GFZ Potsdam and LMU Munich as part of the HYPERedu initiative. The development was funded within the EnMAP science program under the German Space Agency at DLR with resources from the German Federal Ministry of Economic Affairs and Climate Action.