Automatic identification and monitoring of deformation areas in the Pearl River Delta based on time-series InSAR

doi:10.13474/j.cnki.11-2246.2024.0915

Abstract

Abstract: The interferometric synthetic aperture radar (InSAR) technology has been widely applied in surface deformation monitoring. However, when the monitoring range is wide and there are many surface deformation areas, visual interpretation of deformation areas requires a large amount of work and is prone to misjudgment and omission. Based on this, this article proposes an InSAR deformation area automatic recognition algorithm for surface deformation area recognition and monitoring. In this paper, the the Pearl River Delta, which has many geological hazards, is taken as the research area. Firstly, InSAR technology is used to obtain the surface deformation of this area from June 2015 to November 2020. Then, using the proposed algorithm, the deformation area is automatically delineated, and a total of 630 suspected geological hazard points are identified. Finally, based on field investigations and historical optical images, the spatio-temporal development characteristics and causes of deformation in some key monitoring areas are analyzed.The application of the research results in this article to the identification and monitoring of ground subsidence in the Pearl River Delta has a good demonstration effect, which can greatly reduce the intensity of interpretation work, improve interpretation accuracy and efficiency, and provide technical support for large-scale InSAR surface deformation monitoring, analysis of deformation characteristics in the Pearl River Delta region, and risk prevention and control of ground subsidence geological hazards.

Key words: The Pearl River Delta, land subsidence, InSAR, deformation area identification

CLC Number:

P237

WU Peihong, ZHONG Shaozhong, LUO Shuran, XIE Rongan. Automatic identification and monitoring of deformation areas in the Pearl River Delta based on time-series InSAR[J]. Bulletin of Surveying and Mapping, 2024, 0(9): 80-86,95.

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