Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps

• Published in: Remote Sensing
• Main Authors: Nitze, Ingmar, Heidler, Konrad, Barth, Sophia, Grosse, Guido
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2021
• Subjects: Arctic; Canada; Herschel Island; Tuktoyaktuk; Banks Island; Kolguev; lena river; permafrost
• Online Access: https://epic.awi.de/id/eprint/54883/; https://epic.awi.de/id/eprint/54883/1/remotesensing-13-04294.pdf; https://doi.org/10.3390/rs13214294; https://hdl.handle.net/10013/epic.214c5215-4dab-41fd-aa57-131f5892ef8d

In a warming Arctic, permafrost-related disturbances, such as retrogressive thaw slumps (RTS), are becoming more abundant and dynamic, with serious implications for permafrost stability and bio-geochemical cycles on local to regional scales. Despite recent advances in the field of earth observation,...