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2024 Vol. 51, No. 6
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ZHANG Keli, YAO Aimin, ZHANG Jianquan, YAN Yulei, QIN Hongnan. Rapid modeling and 3D matching of GB InSAR landslide emergency monitoring: Method and application[J]. Hydrogeology & Engineering Geology, 2024, 51(6): 190-197. doi: 10.16030/j.cnki.issn.1000-3665.202306047
Citation: ZHANG Keli, YAO Aimin, ZHANG Jianquan, YAN Yulei, QIN Hongnan. Rapid modeling and 3D matching of GB InSAR landslide emergency monitoring: Method and application[J]. Hydrogeology & Engineering Geology, 2024, 51(6): 190-197. doi: 10.16030/j.cnki.issn.1000-3665.202306047
shu

Rapid modeling and 3D matching of GB InSAR landslide emergency monitoring: Method and application

  • 1.

    Beijing Urban Construction Exploration & Surveying Design Research Institute Co. Ltd., Beijing　100101, China

  • 2.

    China Academy of Safety Production Science, Beijing　100012, China

Received Date:  27 June 2023
Revised Date:  09 April 2024
Accepted Date:  11 April 2024
Publish Date:  15 November 2024
    Abstract

  • Traditional GB InSAR monitoring relies on surface control coordinates, which can be limiting. To quickly generate a digital elevation model (DEM) at the landslide disaster site, match it with radar deformation images, and achieve three-dimensional visualization of monitoring data, through controlled outdoor simulation experiments, three-dimensional laser scanning technology was used to capture the radar position coordinates during scanning. The position coordinates were integrated into the model’s local coordinate system for direct geometric mapping and three-dimensional matching, which reduces the steps of converting the real coordinates of the measuring radar and instrument coordinates to the real coordinates. Applying this method to a landslide rescue operation in Qinglong, Guizhou can intuitively determine the location of the hazard source, analyze the sliding path, and achieve effective results. The findings indicate that combining 3D laser scanning with geometric mapping matching method enhances rapid modeling and matching at landslide sites, and achieves 3D visualization of radar deformation data. This study facilitates quick location of landslide hazards and analysis of sliding paths and affected areas.

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