Microwave remote sensing soil moisture product downscaling method based on spatio-temporal information fusion
A soil moisture and downscaling technology, applied in the field of microwave remote sensing, can solve the problems of local regional errors and inconsistency in the spatial distribution of soil moisture, and achieve the effect of improving scientificity.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0042] Embodiment 1, a method for downscaling microwave remote sensing soil moisture products by fusion of spatiotemporal information, comprising the following steps:
[0043] S1) Constructing the relationship expression model between soil moisture and associated surface parameters; including the following steps:
[0044] S11) Parameterize several surface parameters associated with soil moisture, including vegetation coverage parameters, surface temperature, topographic condition parameters, and soil texture parameters; use soil volumetric water content to represent soil moisture, and use normalized The integrated vegetation index represents the vegetation coverage parameters, uses the surface slope to represent the terrain condition parameters, and uses the soil specific surface area and bulk density to represent the soil texture parameters respectively;
[0045] S12) Acquiring historical data corresponding to several surface parameters associated with soil moisture, ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 
