Abstract
Due to the effects of rugged terrain and vegetation cover, improving the locating and monitoring accuracy of time series interferometric synthetic aperture radar (TS-InSAR) in detecting the development of landslides in mountainous and valley areas has become a problem that needs to be solved. Our study uses the ground local incident angle (GLIA) to locate noneffective monitoring areas that are affected by steep terrain as well as to improve the locating accuracy of TS-InSAR technology in the effective coverage area. At the same time, the improved small baseline subset InSAR (SBAS-InSAR) method is used to improve the density of interferometer targets as well as to solve the problem of insufficient permanent scatterers due to the effects of vegetation coverage. A geometric model of GLIA was established. Ascending and descending synthetic aperture radar (SAR) data from the Advanced Land Observation Satellite (ALOS) were used for calculating the value of GLIA. The relationships of the GLIA and the interference characteristics of InSAR data were analyzed, and the locations of noneffective areas were determined. Finally, 19 ascending pass SAR data scenes acquired by the ALOS-1 satellite were processed through using the improved SBAS-InSAR method, and the detailed time series moving displacement information from 2007 to 2011 was mapped in Wudongde hydropower reservoir. Furthermore, the potentially moving landslide areas and landslide hazard areas were located in the effective interference areas. The active Jinpingzi landslide was investigated in detail, and the single-point monitoring results of SBAS-InSAR were compared with the electronic total station (ETS) measurement results. The conclusion shows that the monitoring results of SBAS-InSAR were in agreement with the ground field survey and the single-point ETS monitoring, and the applicability of the model and algorithm proposed was proved. Our study provides a reference for the early identification and high-precision monitoring of landslides in mountainous and valley areas.
Highlights
Interferometric synthetic aperture radar (InSAR) has come to provide an important type of technology for monitoring wide-area and long-term ground movement
Based on former experiences, the ground local incident angle (GLIA), which represents the comprehensive factors of complex topography and satellite attitude parameters, was put forward, and the improved SBAS-InSAR method was used
The SBAS-InSAR technique was used to detect and monitor landslides in an alpine valley region located adjacent to Wudongde hydropower reservoir on the Jinsha River
Summary
Interferometric synthetic aperture radar (InSAR) has come to provide an important type of technology for monitoring wide-area and long-term ground movement. Results to quantitative analysis of monitoring accuracy.[6,7,8,9,10,11,12] high-accuracy monitoring methods, including persistent scatterer InSAR,[13] small baseline subset InSAR (SBAS-InSAR),[14] coherent point target,[15] stable point network,[16] StaMPS,[17] and SqueeSAR,[18] were proposed and applied.[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35] To further improve region investigation and monitoring accuracy of landslides, InSAR has been combined with optical remote sensing, Global Navigation Satellite System, corner reflectors, and ground-based radar.[36,37,38,39,40,41,42,43,44,45] due to the influence of complex regional topography and land use, improving the locating and monitoring accuracy of time series (TS)-InSAR in detecting the development of regional landslides remains a problem that urgently needs to be solved. Wang et al.[48] and Xie et al.[49] carried out studies on the location and monitoring of landslides in alpine canyon areas by applying InSAR technology
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
