Landslide Monitoring with InSAR, POT, and Optical Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing geological disaster monitoring technologies face challenges in accurately tracking macroscopic and microscopic deformations due to issues like incoherence, atmospheric delays, orbit errors, and insensitivity to north-south deformations, especially in high-altitude areas with difficult transportation and sparse population, limiting the effectiveness of InSAR and optical remote sensing.
Innovation Solution
A method combining Interferometric Synthetic Aperture Radar (InSAR) and Pixel Offset Tracking (POT) technologies with optical remote sensing and terrain data to determine microscopic and macroscopic deformation parameters, using deep learning and geographic information systems to construct a landslide remote sensing geomechanical deformation model, integrating material composition, movement mode, and slope structure for improved monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If InSAR technology is used to detect microscopic deformation, then measurement precision is improved, but reliability deteriorates due to incoherence, atmospheric delays, orbit errors, and insensitivity to north-south deformation
Solution Approach 1:
The patent combines InSAR technology with optical remote sensing technology to form a comprehensive monitoring system. InSAR provides microscopic deformation data while optical remote sensing provides macroscopic deformation data, together compensating for each other's weaknesses and improving overall reliability
Solution Approach 2:
The patent develops a multi-functional monitoring system that can detect both microscopic deformation (via InSAR) and macroscopic deformation (via optical remote sensing), making the system universally applicable to different scales and types of geological disasters
2Ease of operation
If optical remote sensing technology is used to track macroscopic deformation, then ease of operation is improved, but measurement precision deteriorates due to cloud and fog weather and vegetation coverage
Solution Approach 1:
The patent merges optical remote sensing with InSAR technology, where optical remote sensing handles macroscopic deformation tracking while InSAR provides continuous microscopic deformation data that is not affected by weather or vegetation, compensating for optical remote sensing limitations
3Reliability
If traditional field investigation is used to study geological disasters, then reliability is improved for local cases, but productivity deteriorates due to high altitude and difficult transportation
Solution Approach 1:
The patent replaces traditional mechanical field investigation methods with remote sensing technologies (InSAR and optical remote sensing), eliminating the need for physical access to high-altitude areas while maintaining monitoring capabilities through satellite and aerial sensors
4Measurement precision
If POT technology is used for horizontal deformation analysis, then measurement precision is improved for east-west deformation, but adaptability deteriorates due to insensitivity to north-south deformation
Solution Approach 1:
The patent addresses the asymmetric sensitivity of POT technology by combining it with optical remote sensing that can detect deformation in all directions, creating a complementary system where each technology compensates for the other's directional limitations
Data Source
AI summary
A geological disasters monitoring method, device, medium and product are provided, which relates to the technical field of geological monitoring. The method includes determining microscopic deformation parameters of an area to be monitored according to remote sensing observation data corresponding to a slope body of the area to be monitored, determining macroscopic deformation parameters of the area to be monitored according to optical remote sensing data and terrain data of the area to be monitored, and determining the landslide remote sensing geomechanical deformation type in the area to be monitored according to material composition, movement mode, slope structure, the microscopic deformation parameters and the macroscopic deformation parameters of the area to be monitored. The present disclosure improves the accuracy of monitoring geological disasters.


