2020年6月至2021年5月重庆市多源融合土壤湿度数据产品

针对卫星遥感土壤湿度数据时间分辨率低、地面监测数据空间覆盖度差的问题，以 FY-3D MWRI 土壤湿度升轨数据（25km×25km 空间分辨率，逐日产品）和重庆市及周边 153 个土壤墒情监测站数据（1h 时间分辨率，10-50cm 监测深度）为基础，经数据校准、缺失恢复及高斯拟合融合加密处理，生成时间分辨率 1h、高空间覆盖度的 10cm 深度土壤湿度数据产品。该产品可呈现重庆市土壤湿度日 / 月 / 季 / 年时空特征及滑坡灾害点前后湿度变化，关键精度指标达 RMSE 最低 0.0041cm³/cm³、R² 最高 0.9671，生产过程遵循技术规范，可为地质灾害风险评估、区域土壤湿度分析提供可靠数据支撑。

Aiming to solve the problems of low temporal resolution of satellite remote sensing soil moisture data and poor spatial coverage of ground-based monitoring data, FY-3D MWRI ascending-orbit soil moisture data (25 km × 25 km spatial resolution, daily product) and data from 153 soil moisture monitoring stations in Chongqing and its adjacent regions (1-hour temporal resolution, with monitoring depth ranging from 10 cm to 50 cm) are used as the original data sources. After data calibration, missing value restoration, and Gaussian fitting-based fusion and spatial refinement processing, a 10 cm-depth soil moisture data product with 1-hour temporal resolution and high spatial coverage is generated. This product can display the spatiotemporal characteristics of soil moisture in Chongqing on daily, monthly, seasonal and annual scales, as well as the humidity changes before and after landslide disaster points. Its key accuracy indicators include a minimum RMSE of 0.0041 cm³/cm³ and a maximum R² of 0.9671. The production process follows relevant technical specifications, providing reliable data support for geological disaster risk assessment and regional soil moisture analysis.