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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Autors principals:	Ingmar Nitze, Konrad Heidler, Sophia Barth, Guido Grosse
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-10-01
Col·lecció:	Remote Sensing
Matèries:	deep learning image segmentation permafrost thaw semantic segmentation disturbances computer vision
Accés en línia:	https://www.mdpi.com/2072-4292/13/21/4294
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