Basic-04: Expert interview: application field "agriculture"
Channel: HYPERedu
Date: 24/11/2021

What is the actual benefit of hyperspectral data? Hear what PD Dr. Tobias B. Hank (Ludwig Maximilians Universität München, Department of Geography, Member of the EnMAP Science Advisory Group) thinks about the advantages of hyperspectral imagery and current challenges for imaging spectroscopy in the context of agriculture.

**** FREE ONLINE COURSE ****

‘Beyond the Visible – Introduction to Hyperspectral Remote Sensing‘ is the first Massive Open Online Course (MOOC) on Hyperspectral Remote Sensing presented by HYPERedu and EO-College
 
OPEN FROM 24 NOVEMBER 2021, 08:00 am GMT 

Register now: https://eo-college.org/courses/beyond-the-visible/

The course teaches the principles of imaging spectroscopy, sensor technologies and data acquisition techniques, hyperspectral data processing approaches and data sources and provides expert-guided hands-on training. 

The course was developed by GFZ Potsdam as part of the HYPERedu initiative with support from experts at various partner institutions. 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 Energy.

**** For FURTHER INFORMATION we recommend ****

A selection of own publications including the ones that were mentioned in the interview:

• Berger K., Verrelst J., Féret J.-B., Hank T., Wocher M., Mauser W., Camps-Valls G. (2020): Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. International Journal of Applied Earth Observation and Geoinformation. 92, 102174. https://doi.org/10.1016/j.jag.2020.102174 
• Berger K., Verrelst J., Féret J.-B., Wang Z., Wocher M., Strathmann M., Danner M., Mauser W., Hank T. (2020): Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions. Remote Sensing of Environment. 242, 111758. https://doi.org/10.1016/j.rse.2020.111758 
• Berger K., Wang Z., Danner M., Wocher M., Mauser W., Hank T. (2018): Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops. In, IEEE International Geoscience and Remote Sensing Symposium (pp. 3801-3804). Valencia, Spain. https://doi.org/10.1109/IGARSS.2018.8518537 
• Danner M., Berger K., Wocher M., Mauser W., Hank T. (2021): Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops. ISPRS Journal of Photogrammetry and Remote Sensing. 173, 278-296. https://doi.org/10.1016/j.isprsjprs.2021.01.017 
• Danner M., Wocher M., Berger K., Mauser W., Hank T. (2018): Developing a Sandbox Environment for Prosail, Suitable for Education and Research. In, IEEE International Geoscience and Remote Sensing Symposium (pp. 783-786). Valencia, Spain. https://doi.org/10.1109/IGARSS.2018.8519378 
• Hank T., Berger K., Bach H., Clevers J.G.P.W., Gitelson A., Zarco-Tejada P., Mauser W. (2019): Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges. Surveys in Geophysics. 40, 515-551. https://doi.org/10.1007/s10712-018-9492-0 
• Wocher M., Berger K., Danner M., Mauser W., Hank T. (2020): RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits. International Journal of Applied Earth Observation and Geoinformation. 93, 102219. https://doi.org/10.1016/j.jag.2020.102219 
• Wocher M., Berger K., Danner M., Mauser W., Hank T. (2018): Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law. In, IEEE International Geoscience and Remote Sensing Symposium (pp. 3805-3808). Valencia, Spain. https://doi.org/10.1109/IGARSS.2018.8518218
The course was developed by GFZ Potsdam as part of the HYPERedu initiative with support from experts at various partner institutions. 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 Energy.