一种基于风云卫星数据的洪涝灾害短临风险动态识别方法
By constructing a flood disaster risk identification method using Fengyun satellite data, and utilizing geostationary meteorological satellite and polar-orbiting meteorological satellite data, combined with objective weighting and subjective weighting methods, the problem of spatial discontinuity and insufficient update timeliness in flood disaster risk identification was solved, achieving high timeliness and high accuracy in risk identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NAT SATELLITE METEOROLOGICAL CENT
- Filing Date
- 2026-05-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for identifying flood disaster risks suffer from spatial discontinuity and insufficient timeliness of updates, making it difficult to meet the needs of refined and real-time disaster prevention and mitigation.
Using data from Fengyun satellites, combined with quantitative precipitation estimation data from geostationary meteorological satellites and soil moisture data from polar-orbiting meteorological satellites, weights are determined by integrating objective and subjective weighting methods. A comprehensive risk identification system for disaster-causing factors, disaster-prone environments, and disaster-bearing bodies is constructed and dynamically updated.
It has improved the spatial continuity and timeliness of flood disaster risk, enabling timely detection of risk changes caused by short-duration heavy rainfall, and providing timely and effective support for short-term early warning.
Smart Images
Figure CN122413331A_ABST