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

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

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,...

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Bibliographic Details
Main Authors: Ingmar Nitze, Konrad Heidler, Sophia Barth, Guido Grosse
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
deep learning
image segmentation
permafrost thaw
semantic segmentation
disturbances
computer vision
Online Access:https://www.mdpi.com/2072-4292/13/21/4294

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https://www.mdpi.com/2072-4292/13/21/4294

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