High and cold wetland dynamic monitoring and health evaluation method and system based on multi-source remote sensing
By deeply integrating SAR and optical remote sensing data and combining ST-CNN and attention mechanism, the problem of insufficient data singularity and dynamic monitoring in high-altitude wetland monitoring is solved, and comprehensive monitoring of the dynamic changes of multiple factors of wetlands and a detailed evaluation of ecological health is achieved.
Patent Information
- Application Number
- CN202510021450.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-07
- Publication Date
- 2025-04-08
- Estimated Expiration
- 2045-01-07
AI Technical Summary
The existing technology has problems such as single data, insufficient dynamic monitoring and single health evaluation model in the monitoring of high-altitude wetlands, which is difficult to fully reflect the dynamic changes of multiple factors and ecological health status of wetlands.
By deeply integrating SAR and optical remote sensing data, combining spatiotemporal convolutional neural network (ST-CNN) and attention mechanism, dynamic monitoring of high-altitude wetlands was carried out, and a multi-index ecological health evaluation system (AHP) was used for quantitative evaluation.
Long-term and dynamic monitoring of hydrology, vegetation and soil moisture in high-altitude wetlands has been achieved, providing more refined wetland health evaluation, and supporting the ecological protection and restoration of wetlands in high-altitude areas.