@inproceedings{AparicioWallorMund2022, author = {Aparicio, Hainner and Wallor, Evelyn and Mund, Jan-Peter}, title = {High-resolution recording and forecasting of peatlands under forests in northeast Brandenburg (Germany) using remotely sensed data radar data (ALOS-PALSAR and Sentinel 1)}, series = {ESA Living Planet Symposium 2022}, booktitle = {ESA Living Planet Symposium 2022}, doi = {10.13140/RG.2.2.12476.51848}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-5205}, pages = {1}, year = {2022}, abstract = {High-resolution recording and forecasting of peatlands under forests in northeast Brandenburg (Germany) using remotely sensed data (Radar ALOS-PALSAR and Sentinel 1). Peatlands are important in terms of CO2 storage, water cycling, biochemical cycles, biodiversity, and ecosystem services. Peatlands are constantly altered and damaged due to agriculture and drainage. Thus it is crucial to manage them sustainably. How? First step - locating and quantifying them with geospatial data and remote sensing methods since locating and collecting data in field is highly expensive and arduous in terms of labour and time. Our MAIN RESEARCH QUESTION therefore is: Is it possible to generate a method to record the location of peatlands under forests at high resolution using RS?.}, language = {en} }