Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)

Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)

Accurate landslide susceptibility mapping (LSM) relies on a detailed landslide inventory and relevant influencing factors. In this study, Sentinel 2 remote sensing imagery is employed to establish a comprehensive landslide inventory leveraging attention U-Net backbone networks in Zhangjiajie City of...

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Bibliographic Details
Main Authors: Baoyi Zhang, Jiacheng Tang, Yuke Huan, Lei Song, Syed Yasir Ali Shah, Lifang Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Landslide susceptibility mapping
deep learning
convolutional neural networks
multi-scale sampling
landslide inventory identification
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2024.2383309
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