Multi-source satellite soil humidity inversion method

Abstract

The invention discloses a multi-source satellite soil humidity inversion method which is characterized by comprising the following steps: collecting brightness temperature data of a multi-source satellite, and obtaining a uniformed brightness temperature product sequence of an identical spatial resolution; establishing a soil humidity microwave sensing inversion model, carrying out brightness temperature to emissivity conversion, and extracting grid emissivity of a microwave radiation meter scanning track one by one; ejecting and correcting influence of vegetation and ground surface roughness;converting soil dielectric constants into the emissivity, carrying out correlated thrust reversion on the converted dielectric constants and soil humidity, thereby obtaining remote sensing inversionon the soil humidity. Quasi real-time brightness temperature data observed by multiple satellite platforms are adopted as main input data, brightness temperature data of different satellite sources are cut and spliced, inversion and space-time reconstruction on moisture of soil on a surface layer are achieved, and continuous soil humidity products of high space-time resolutions can be acquired.

Description

technical field [0001] The invention belongs to the technical field of hydrological remote sensing, and in particular relates to a multi-source satellite soil moisture inversion method. Background technique [0002] Soil moisture is an important surface parameter in research fields such as climate, numerical weather prediction, hydrological prediction, agricultural drought monitoring and forecasting, and land surface data assimilation. At present, the classic measurement methods for obtaining soil moisture mainly include: weighing method, tensiometer method, neutron method, resistance method, etc. Although the soil moisture obtained by manual observation at the station has high accuracy, it is impossible to deploy stations in areas with sparse stations or complex terrain. The measurement method has shortcomings such as lack of block measurement and discontinuous data, and it is difficult to show the spatial distribution of soil moisture. [0003] The development of satellit...

AI Technical Summary

Problems solved by technology

At present, the classic measurement methods for obtaining soil moisture mainly include: weighing method, tensiometer method, neutron method, resistance method, etc. Although the soil moisture obtained by manual observation at the station has high accuracy, it is impossible to deploy stations in areas with sparse stations or complex terrain. The measurement method has shortcomings such as block lack of measurement and discontinuous data, and it is difficult to show the spatial distribution of soil moisture.

[0003] The development of satellite remote sensing technology provides an effective means for obtaining regional-scale soil moisture information. However, the spatial resolution of surface soil moisture retrieved by satellite remote sensing is low, and there is great spatial heterogeneity. Soil moisture characteristics with different spatial resolutions Inconsistency; Due to the influence of factors such as satellite scanning trajectory and coverage, vegetation, mountains and other shelters, there are data missing phenomena in some strips and some areas, and the data missing areas change with time, so they cannot be used for specific areas and The analysis of soil moisture characteristics in continuous time requires the reconstruction of missing data; therefore, the acquisition of continuous high-spatial-temporal resolution soil moisture has become a research hotspot and difficulty, and it is also a very relevant issue for business departments such as agricultural drought monitoring and flood forecasting.

Images