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: Other Non-Article Part of Journal/Newspaper
• Language: English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2021
• Subjects: EO Data Science; Arctic; Canada; Tuktoyaktuk; Herschel Island; Banks Island; Kolguev; lena river; permafrost
• Online Access: https://elib.dlr.de/146213/; https://elib.dlr.de/146213/1/remotesensing-13-04294.pdf; https://www.mdpi.com/2072-4292/13/21/4294/htm

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,...