Image compression–based DS-InSAR method for landslide identification and monitoring of alpine canyon region: a case study of Ahai Reservoir area in Jinsha River Basin-Reference-Cited by-同舟云学术

Image compression–based DS-InSAR method for landslide identification and monitoring of alpine canyon region: a case study of Ahai Reservoir area in Jinsha River Basin

Published:2024-06-18 Issue:10 Volume:21 Page:2501-2517
ISSN:1612-510X
Container-title:Landslides
language:en
Short-container-title:Landslides

Author:

Gu Xiaona,Li Yongfa,Zuo Xiaoqing,Bu Jinwei,Yang Fang,Yang Xu,Li Yongning,Zhang Jianming,Huang Cheng,Shi Chao,Xing Mingze

Funder

National Natural Science Foundation of China

Major Science and Technology Special Plan of Yunnan Province

Yunnan Provincial Department of Education Science Research Fund Project

Applied Basic Research Foundation of Yunnan Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10346-024-02299-5.pdf

Reference47 articles.

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3. Casu F, Elefante S, Imperatore P, Zinno I, Manunta M, Luca CD, Lanari R (2014) Sbas-dinsar parallel processing for deformation time-series computation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7:3285–3296. https://doi.org/10.1109/JSTARS.2014.2322671

4. Chitroub S, Houacine A, Sansal B (2002) A new pca-based method for data compression and enhancement of multi-frequency polarimetric sar imagery. Intell Data Anal 6:187–207. https://doi.org/10.3233/IDA-2002-6206

5. Cigna F, Tapete D (2021) Sentinel-1 big data processing with p-sbas insar in the geohazards exploitation platform: an experiment on coastal land subsidence and landslides in italy. Remote Sens 13:885. https://doi.org/10.3390/rs13050885

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