Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity

Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity

The southwest mountainous area of China is one of the areas with the most landslides in the world. In this paper, we used Ya’an City and Garzê Tibetan Autonomous Prefecture in Sichuan Province as the research areas to explore the identification application effects of large-area potential landslides...

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Bibliographic Details
Main Authors: Jingtao Liang, Jihong Dong, Su Zhang, Cong Zhao, Bin Liu, Lei Yang, Shengwu Yan, Xiaobo Ma
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
landslide
InSAR
identification effect
ALOS
Sentinel-1
Online Access:https://www.mdpi.com/2072-4292/14/8/1952

Internet

https://www.mdpi.com/2072-4292/14/8/1952

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