An InSAR-based effective area determination method for early dynamic identification and monitoring of regional landslides

Abstract

The invention discloses an InSAR-based effective area determination method for early dynamic identification and monitoring of regional landslides. Aiming at the complex terrain characteristics of landslide hazard environment and satellite side-looking imaging characteristics, based on the precise analysis of terrain factors such as slope, slope aspect, satellite imaging incident angle and azimuth,the method provides and establishes the comprehensive factors of terrain and satellite attitude data response relationship. The local incident angle of each monitoring point on the ground under the ascent and descent orbit mode is calculated and simulated, and the local incident angle of the ground is classified and analyzed. This method analyzes the interferometric characteristics of InSAR and the interferometric characteristics of InSAR, and the effective monitoring area and the overlapping and shadowing areas which can not be monitored effectively are determined accurately, so the accuratedetermination of the effective monitoring scope of the regional landslide identification monitoring under different complex terrain areas and different satellite side-looking imaging attitude parameters are realized, and the precise analysis of the early dynamic identification monitoring of the regional landslide by the time series InSAR technology is realized.

Description

technical field [0001] The invention belongs to the technical field of early dynamic identification and monitoring of geological disasters by aerospace remote sensing, and solves the problem that the early dynamic identification and monitoring of regional landslides cannot be fully effective due to the influence of satellite attitude parameters and complex terrain factors when using Interferometric Synthetic Aperture Radar InSAR (Interferometric Synthetic Aperture Radar) technology. Coverage can not accurately determine which areas are effective monitoring areas, but through the establishment of relevant algorithm models to accurately calculate and determine the effective monitoring area method. Background technique [0002] In recent years, Interferometric Synthetic Aperture Radar (InSAR) technology has become an important means for the investigation and monitoring of large-scale and long-term series of surface deformation disasters, and has also been widely used in landslid...

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Problems solved by technology

[0003] However, due to the complex terrain features such as mountainous areas and alpine valleys in the disaster-forming environment of landslide disasters and the side-view imaging characteristics of synthetic aperture radar SAR satellites, it is impossible to effectively identify all monitoring target mountainous areas, especially alpine valley areas, but how to determine which areas are effective monitoring areas Whether InSAR technology can be widely applied in the field of landslide identification and monitoring has become a difficult point, and international experts in related fields have also conducted in-depth research and exploration in various aspects

See Plank et al. (2012) proposed a modeling and simulation method based on GIS (Geographical Information System) to predict and analyze shadows and overlapping areas that affect landslide identification and monitoring in complex terrain areas under different satellite imaging modes. In 2014, Notti et al. studied in See Plank et al. Based on the application of terrain and satellite imaging models, the PS extraction and acquisition capabilities of the Persistent Scatterer InSAR (PS-InSAR) method under different ground coverage conditions were preliminarily discussed, and some theoretical results were obtained. However, due to the use of simulation prediction in the research process Only a rough qualitative analysis is given

Therefore, the obtained results cannot accurately determine the effective monitoring area, and cannot accurately identify the true validity of the monitoring results

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