Abstract
Abstract. This paper presents an application of PS-InSAR method for determining landslide displacement velocity in Van Yen district, Yen Bai province, Vietnam. The used tools for processing data is a combination of two free software, SNAP 7.0 and STaMPS 4.1. With 27 Sentinel-1A images in descending direction acquired from 11th January 2019 to 1st March 2021, the landslide displacement values were calculated and exported. There were locations in which landslides correctly appeared, such as Lang Thip, Xuan Tam, Chau Que Ha, Phong Du Thuong communes and along provincial road 151. Landslide rate is determined from SAR image series with average value less than 16.5 mm/y in places with high terrain and steep slope. The distribution of permanent scatter (PS) points for landslides often appeared along the road slopes, especially the inter-communal and inter-provincial roads that have not been reinforced with structural mitigation measures. In 2013 a field survey was conducted by the Vietnam Institute of Geosciences and Mineral Resources for this area which was used to validate the results from SAR processing. Landslide velocity charts at certain landslide sites were derived. The current study demonstrated the feasibility of the method as well as the usage of Sentinel-1 data for land deformation monitoring in the mountainous area.
Highlights
Vietnam is one of the countries in the region that is frequently affected by landslides due to tropical monsoon climate and three-fourths of Vietnam land area is hilly
PSI represents a specific class of Differential SAR Interferometry (DInSAR) techniques, which exploits multiple SAR images acquired over the same area, and appropriate data processing and analysis procedures to separate φDispl from the other phase components depicted in Eq (1)
The main part of the PSInSAR calculation in STaMPS is done in Matlab
Summary
Vietnam is one of the countries in the region that is frequently affected by landslides due to tropical monsoon climate and three-fourths of Vietnam land area is hilly. Many works have used remote sensing data to detect landslide regions, tectonic destruction zones, etc., In the remote sensing field, the SAR satellite interferometric measurement is a method applied for evaluating changes on the Earth's surface proved very useful. Differential SAR Interferometry (DInSAR) is a method used to detect land deformations by using two or more images of the same location acquired at different times, usually before and after a topographic change occurs (Anh et al, 2007). This method has many limitations such as the influence of the atmosphere and some scattering characteristics of objects on the surface. The PSI method proposed by (Ferretti et al, 2001), is based on using a series of multi-temporal SAR images of the same location to extract the permanent scattering points which are used for detecting terrain deformation
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