Research on the Optimization of the Space-Based Remote Sensing Index System for Soil Parameter Monitoring and Multi-Scale Soil Parameter Mapping

It presents a systematic analysis centered on the spatial distribution mapping of key soil parameters in Youyi County. All the map products are based on the Google Earth Engine (GEE) cloud platform, utilizing long-term time-series bare-soil-period imagery from the Sentinel-2 high-resolution optical remote sensing satellite, combined with measured data from soil samples collected by the research team in Youyi County for modeling and validation.

The atlas covers spatial distribution maps of eight key soil parameters across the entire territory of Youyi County, including clay content, sand content, organic matter, total potassium (TK), total nitrogen (TN), total phosphorus (TP), electrical conductivity (EC), and pH value. Based on the statistical analysis of measured soil spectra and physicochemical data, random forest machine learning was employed to establish remote sensing inversion models for soil properties, generating soil parameter spatial distribution maps at a spatial resolution of 10 m.