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

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

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...

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Bibliographic Details
Main Authors: Denis Demchev, Ivan Sudakow, Alexander Khodos, Irina Abramova, Dmitry Lyakhov, Dominik Michels
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
tundra lakes
synthetic aperture radar
Sentinel-1
U-Net
size distribution
Arctic
Online Access:https://www.mdpi.com/2072-4292/15/5/1298

Internet

https://www.mdpi.com/2072-4292/15/5/1298

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