Forest management requires the use of comprehensive remote sensing data which enable monitoring of biodiversity changes. Biophysical and biochemical vegetation parameters can characterize changes in biodiversity through changes in ecosystem structure and function. To address this need the University of Twente, Faculty ITC (the Netherlands) in collaboration with the Bavarian Forest National Park and the German Aerospace Center, (DLR) in Oberpfaffenhofen coordinated a summer school in July 2017. The two weeks of summer school was funded by EUFAR and was hosted by the Bavarian Forest National Park and DLR. The 19 participants of the summer school were PhD students and post-docs from 10 EU member states. The summer school offered the field expertise as well as the technical skills to understand and measure a number of essential biodiversity variables (EBVs) in forest ecosystems. Further, the students learned how to process the hyperspectral, thermal , and LiDAR data for the estimation of EBVs. The course contained two days of fieldwork in the Bavarian Forest National Park, and the participants of different themes (Hyperspectral, Thermal, LiDAR) were trained how to perform field measurements of various EBVs in a forest ecosystem. Further, the course participants were taught how to conduct field spectroscopy, thermal spectrometry and terrestrial LiDAR measurements. Concurrent to the time of field measurements an airborne campaign with the NERC Airborne Research Facility (NERC-ARF) was organized that simultaneously acquired hyperspectral as well as thermal-infrared imaging data using the Specim AISA Fenix and Owl systems, respectively. The second half of the summer school was parallel with the ICARE 2017 conference, and the course participants visited the aircraft exhibition and were welcomed by the airborne research and operator community.
|Number of pages||1|
|Publication status||Published - 6 Feb 2019|
|Event||11th EARSel SIG imaging spectroscopy workshop 2019 - Brno, Czech Republic|
Duration: 6 Feb 2019 → 8 Feb 2019
Conference number: 11
|Workshop||11th EARSel SIG imaging spectroscopy workshop 2019|
|Period||6/02/19 → 8/02/19|