Landslide mapping with deep learning: the role of pre-/post-event SAR features and multi-sensor data fusion

Landslide mapping with deep learning: the role of pre-/post-event SAR features and multi-sensor data fusion

Landslide mapping is critically important for providing detailed spatial information on hazard extent in a timely manner that ultimately contributes to the protection of human lives and critical infrastructure. In the context of increasing demands for scalable and automated solutions, Earth Observat...

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Bibliographic Details
Main Authors: Aiym Orynbaikyzy, Frauke Albrecht, Wei Yao, Mahdi Motagh, Wandi Wang, Sandro Martinis, Simon Plank
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:GIScience & Remote Sensing
Subjects:
Landslide classification
optical data
SAR data
deep learning
Online Access:https://www.tandfonline.com/doi/10.1080/15481603.2025.2502214
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https://www.tandfonline.com/doi/10.1080/15481603.2025.2502214

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