Recognizing the Shape and Size of Tundra Lakes in Synthetic Aperture Radar (SAR) Images Using Deep Learning Segmentation

• Published in: Remote Sensing
• Main Authors: Denis Demchev, Ivan Sudakow, Alexander Khodos, Irina Abramova, Dmitry Lyakhov, Dominik Michels
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2023
• Subjects: tundra lakes; synthetic aperture radar; Sentinel-1; U-Net; size distribution; Arctic; Science; Q; Yamal Peninsula; Climate change; permafrost; Tundra; Alaska
• Online Access: https://doi.org/10.3390/rs15051298; https://doaj.org/article/799ab4abd5d3407cbd85206a18903539

Permafrost tundra contains more than twice as much carbon as is currently in the atmosphere, and it is warming six times as fast as the global mean. Tundra lakes dynamics is a robust indicator of global climate processes, and is still not well understood. Satellite data, particularly, from synthetic...