Regional Recognition and Classification of Active Loess Landslides Using Two-Dimensional Deformation Derived from Sentinel-1 Interferometric Radar Data

Regional Recognition and Classification of Active Loess Landslides Using Two-Dimensional Deformation Derived from Sentinel-1 Interferometric Radar Data

Identification and classification of landslides is a preliminary and crucial work for landslide risk assessment and hazard mitigation. The exploitation of surface deformation velocity derived from satellite synthetic aperture radar interferometry (InSAR) is a consolidated and suitable procedure for...

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Bibliographic Details
Main Authors: Qingkai Meng, Pierluigi Confuorto, Ying Peng, Federico Raspini, Silvia Bianchini, Shuai Han, Haocheng Liu, Nicola Casagli
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
loess landslides
differential synthetic aperture radar interferometry (DInSAR)
interferometric vectors
two-dimensional deformation
landslide classification
Online Access:https://www.mdpi.com/2072-4292/12/10/1541

Internet

https://www.mdpi.com/2072-4292/12/10/1541

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