Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model

Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model

Repeated temporal mapping of landslides is essential for investigating changes in landslide movements, legacy effects of the landslide triggering events, and susceptibility changes in the area. However, in order to perform such investigations, multi-temporal (MT) inventories of landslides are requir...

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Bibliographic Details
Main Authors: Kushanav Bhuyan, Sansar Raj Meena, Lorenzo Nava, Cees van Westen, Mario Floris, Filippo Catani
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:GIScience & Remote Sensing
Subjects:
multi-temporal
deep learning
u-net
himalayan
landslide inventories
Online Access:http://dx.doi.org/10.1080/15481603.2023.2182057

Internet

http://dx.doi.org/10.1080/15481603.2023.2182057

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