The Active Microwave Data-Based Analysis of Fire Risk in the Wildland-Urban Interface

Based on microwave backscattering characteristics of typical surface features on wildland-urban interface (WUI) fire, dynamic change rules of key factors of WUI fires are explored, and fire assessment methods are established. In terms of parameter retrieval, ground-based scatterometer and satellite-borne SAR image are utilized for synchronous measurement of multi-polarization data. Considering microwave-based empirical model and minor scattering component tracking algorithm, WUI vegetation biomass, WUI vegetation water content, WUI underlying soil moisture and WUI surface feature aggregation are extracted in accordance with microwave scattering mechanism. Meanwhile, in combination with meteorological and environmental parameters, key parameters for the monitoring of WUI fires are selected to construct a fire monitoring model incorporating WUI characteristics, thus offering a new idea and new tool for remote-sensing monitoring of WUI fires.