Remote sensing inversion method for land surface evapotranspiration of arid and semi-arid regions

Abstract

The invention discloses a remote sensing inversion method for land surface evapotranspiration of arid and semi-arid regions. The method comprises the steps of: acquiring and processing EOS / MODISE (Earth Observing System / Moderate-resolution Imaging Spectroradiometer) remotely sensed data; performing the inversion of near-surface temperature and computing atmospheric transmittance; obtaining a land surface latent heat flux by solving a net radiation quantity, a soil heat flux and a sensible heat flux according to a land surface energy balance equation; and figuring out land surface evapotranspiration data according to the land surface latent heat flux. According to the invention, aiming at the characteristics of rare meteorological stations in the arid region of Northwest China, a near-surface temperature inversion model and an atmospheric transmittance model both based on remotely sensed data are established, and the temperature obtained by the remote sensing inversion is used for participating in the computation instead of the observed temperatures of the stations; therefore, requirements on meteorological and other observation data are reduced.

Description

technical field [0001] The invention relates to a remote sensing inversion method for surface evapotranspiration, in particular to a technical method for inverting surface evapotranspiration by mainly using satellite remote sensing data for the characteristics of the scarcity of meteorological observation stations in arid and semi-arid areas. Resource monitoring and management. Background technique [0002] Surface evapotranspiration is a key link in the water cycle process and a major item in energy balance. A clear understanding of the temporal and spatial variation characteristics of evapotranspiration is of outstanding scientific value for understanding the water cycle and energy balance processes in a large scale, and it is helpful for in-depth study of land surface processes and correct assessment of the impact of climate and human activities on ecosystems. Obtaining accurate surface evapotranspiration data can provide important reference information for regional wate...

AI Technical Summary

Problems solved by technology

However, most studies are limited to humid areas, and there are relatively few remote sensing inversion studies on surface evapotranspiration in arid and semi-arid areas.

Existing studies on arid and semi-arid regions mainly use the existing SEBAL model for direct calculation, and the parameters in the SEBAL model are obtained based on observations in humid regions such as the Netherlands and Brazil, which are significantly different from the actual conditions in China’s arid and semi-arid regions. difference

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