Landslide Susceptibility Assessment in Zunyi City Incorporating MT-InSAR-Based Physical Constraints and Explainable Analysis

Landslide susceptibility maps (LSMs) are crucial for risk mitigation, but integrating Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) data is often hampered by a lack of physical interpretation. To address this issue, this study proposes an enhanced modeling framework that integra...

詳細記述

書誌詳細

主要な著者:	Zirui Zhang, Qingfeng Hu, Haoran Fang, Wenkai Liu, Shoukai Chen, Qifan Wu, Peng Wang, Weiqiang Lu, Weibo Yin, Tangjing Ma, Ruimin Feng
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-02-01
シリーズ:	Remote Sensing
主題:	landslide susceptibility MT-InSAR physics-informed deep learning model interpretability
オンライン･アクセス:	https://www.mdpi.com/2072-4292/18/3/515
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!