Soil heat flux prediction method based on multi-source satellite remote sensing data

Abstract

The invention discloses a soil heat flux prediction method based on multi-source satellite remote sensing data, and the method comprises the following steps: firstly, providing a soil heat index formula, providing reference for the evaluation of the soil heat flux of a region without data, and simulating an observation station with actual measurement data by adopting a popular machine learning method, the method comprises the following steps: respectively establishing an extreme learning machine model and a Bayesian optimized random forest regression model to estimate the soil heat flux based on a model input characteristic value screened by a random forest, and finally dynamically combining an empirical index model and a machine learning model by utilizing a GBDT gradient boosting tree method to establish an optimal soil heat flux prediction model. The method is higher in calculation precision and has practical significance. The method is superior to a traditional method for calculating the result of the soil heat flux by utilizing a formula, and the accuracy of inverting evapotranspiration by utilizing an energy conservation model is improved.

Description

A prediction method of soil heat flux based on multi-source satellite remote sensing data technical field The invention belongs to the field of earth system circle layer, and is specially a kind of soil heat flux prediction based on multi-source satellite remote sensing data. measurement method. Background technique Soil heat flux, as a characteristic quantity that characterizes the energy transfer status of surface and deep soil, is the balance of surface heat. Important component, its size and positive and negative transition directly determine the soil heat budget, control the evaporation and respiration of soil water. It affects the growth and respiration of plant roots and the absorption of nutrients and water. The thermodynamic properties of the soil The exchange of matter and energy between the surface and the atmosphere has an impact on the physical processes of the Earth's atmospheric boundary layer, atmospheric circulation and regional climate Significan...

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Problems solved by technology

However, these methods all need the measured multi-layer temperature and humidity data as the basis. Although the calculation accuracy is high, there is also the problem of scale extension.

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