| abstract |
The invention provides a high-resolution spatiotemporal seamless surface soil moisture estimation method and system, including: acquiring spatiotemporal seamless kilometers-level surface temperature data, normalized vegetation index data and coarse-resolution passive microwave soil moisture data; The surface temperature data and the normalized vegetation index data were upscaled to obtain the coarse-resolution surface temperature and coarse-resolution vegetation index, and combined with the coarse-resolution passive microwave soil moisture data to construct an empirical statistical regression model for soil moisture estimation, semi-empirical Semi-physical model and random forest model; input the kilometer-level surface temperature and vegetation index into each model to obtain the estimation results of surface soil moisture, analyze the residual values corresponding to each model, and establish a linear fusion model according to the residual values. High-spatial-resolution soil moisture fusion data, further analysis of estimated residuals, and high-spatial-resolution soil moisture data with seamless spatiotemporal and consistent value ranges are calculated based on the estimated residuals. |