Evaporation estimation method and device and electronic equipment

Abstract

The invention discloses an evapotranspiration estimation method and device and electronic equipment, and the method comprises the steps: obtaining remote sensing data and meteorological reanalysis data in a target region, the meteorological reanalysis data being data used for representing climate parameters of the target region; performing time scale and space scale matching on the remote sensing data and the meteorological reanalysis data; respectively calculating a decoupling coefficient and a potential evapotranspiration value based on the matched remote sensing data and meteorological reanalysis data, wherein the decoupling coefficient is used for representing a relationship between the potential evapotranspiration value and an actual evapotranspiration value; and calculating an actual evapotranspiration value based on the decoupling coefficient and the potential evapotranspiration value. According to the technical scheme provided by the invention, the evapotranspiration of the target area is estimated in a shorter time scale.

Description

technical field [0001] The invention relates to the field of big data analysis, in particular to an evapotranspiration estimation method, device and electronic equipment. Background technique [0002] Evapotranspiration (ET) is an important link in the water cycle process. Energy is consumed in the process of evapotranspiration, so ET is also an important component of the surface energy balance. Accurate estimation of evapotranspiration is of great significance for water resource planning, water conservancy project construction, irrigation management, and ecosystem maintenance. The application of remote sensing technology provides a feasible method for estimating evapotranspiration at the regional scale. However, the general remote sensing data is obtained every time the satellite passes through the target area, and sufficient continuous data cannot be obtained. The remote sensing data is a reflection of the instantaneous state. Based on the remote sensing thermal infrared ...

AI Technical Summary

Problems solved by technology

However, the general remote sensing data acquisition is obtained every time the satellite passes through the target area, and it cannot obtain enough continuous data. The remote sensing data is a reflection of the instantaneous state. Based on the remote sensing thermal infrared data, the inversion of land surface temperature and vegetation index is carried out. According to the combination of two parameters, the parameters representing the regional drought and humidity conditions are obtained, and then the parameters representing the regional drought and humidity conditions are used to obtain the actual evapotranspiration information. This method cannot accurately measure the parameters of the regional drought and humidity conditions on the specified date. estimating, resulting in a unified systematic error, which is not conducive to carrying out long-term continuous regional evapotranspiration estimation, usually only ten-day or monthly scale evapotranspiration estimation can be realized

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