TIME-SERIES LANDSLIDE MONITORING BASED ON STAMPS-SBAS: A CASE STUDY IN LUSHAN, TAIWAN

被引：0

作者：

Du, Yanan ^{[1
]}

Liu, Lin ^{[1
]}

Feng, Guangcai ^{[2
]}

Peng, Xing ^{[2
]}

Liang, Hongyu ^{[3
]}

Zhu, Yuanhui ^{[1
]}

机构：

[1] Guangzhou Univ, Sch Geog Sci, Guangzhou, Peoples R China

[2] Cent South Univ, Sch Geosci & Infophys, Changsha, Peoples R China

[3] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China

来源：

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

Landslide; MTInSAR; time-series deformation;

D O I：

10.1109/igarss.2019.8898341

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Multiple temporal InSAR (MTInSAR) is a useful tool that has been widely used in slow-moving landslides detection and monitoring. However, the serious decorrelation can affect the scatterer selection and phase unwrapping during the procedures of MTInSAR when the amount of SAR images is small. In this study, a modified StaMPS-SBAS is provided to time-series deformation monitoring for landslides detection and monitoring. Multilook and nonlocal filtering operations are adopted to improve the coherence and phase quality before StaMPS-SBAS. The time-series deformation is validated with three collected GPS stations. The results found that: (1) Several landslides with average rate over 40mm/yr in the research of interest are observed. (2) The reginal maximum rate reached to - 92.7mm/yr. (3) The RMSE of time-series deformation in the selected GPS station is 4.4 mm.

引用

页码：9622 / 9625

页数：4

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