STUDY ON SPACE-GROUND COLLABORATIVE MONITORING OF LARGE LANDSLIDE

Large landslides are increasingly receiving widespread attention due to their large scale, complex mechanisms, and severe hazards. The "space-ground" joint monitoring is gradually becoming an important application model for large landslide monitoring. In this application model, comprehensive satellite remote sensing technology can not only supplement the blind spots of large landslide ground monitoring equipment but also support the scientific site selection and deployment of ground monitoring equipment, thereby ensuring the greatest possible enhancement of ground monitoring equipment under the premise of limited investment. This study, based on comprehensive satellite remote sensing technology, geological spatial analysis technology, and artificial intelligence technology, has carried out comprehensive remote sensing surface deformation monitoring and intelligent extraction of key deformation blocks. On this basis, a method for the layout and site selection of large landslide monitoring equipment based on integrated remote sensing monitoring data and multi-source geological data has been proposed, and has been verified in the monitoring of the Baige landslide in the Jinsha River, China. This method comprehensively applies landslide InSAR deformation monitoring data, optical remote sensing image data, unmanned aerial vehicle photogrammetry data, and various geological data. By adopting the Analytic Hierarchy Process (AHP) for quantitative decision-making, it obtains the evaluation results for the monitoring station site selection, which are more objective and reliable than the site selection results formed solely according to expert experience. It can provide auxiliary decision-making support for the layout and site selection of large landslide monitoring equipment.