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Method for estimating soil and vegetation evapotranspiration based on end metainformation model

An information model and soil evaporation technology, applied in soil material testing, material inspection products, etc., can solve problems such as the uncertainty of model estimation results

Active Publication Date: 2017-05-31
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS +1
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  • Application Information

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Problems solved by technology

However, in most models based on endmember information, these differences are not considered when determining the limit process of soil and vegetation evapotranspiration, which makes the estimation results of the model uncertain.

Method used

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  • Method for estimating soil and vegetation evapotranspiration based on end metainformation model
  • Method for estimating soil and vegetation evapotranspiration based on end metainformation model
  • Method for estimating soil and vegetation evapotranspiration based on end metainformation model

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Embodiment Construction

[0074] like figure 1 , figure 2 Shown, the present invention comprises the following steps:

[0075] Step 1: Determine the structure of the endmember-based information model, establish an endmember-based information model, and initially construct an input data set based on the endmember information model;

[0076] The present invention includes a wet edge and two dry edges based on the end-member information model, and the definition process based on the end-member information model is: when the water content of the soil surface layer and the root zone is sufficient, the soil and vegetation are in the maximum evaporation, and the corresponding state is defined as "Wet edge"; when the water content of the soil surface is 0, the soil evaporation is 0, and the vegetation is still in the critical state of potential evaporation, which is defined as "dry edge I", that is, the dry edge of the soil; when the water content of the soil surface is 0, the root zone The water content be...

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Abstract

The invention discloses a method for estimating soil and vegetation evapotranspiration based on an end metainformation model. The method comprises the four steps of 1, determining a structure based on the end metainformation model, building the end metainformation model, and preliminarily constructing an input dataset based on the end metainformation model; 2, performing decomposition of energy balance subitems in a soil-vegetation system based on the end metainformation model in soil and vegetation; 3, utilizing a ground surface balance theory and a Penman-Monteith equation, and calculating the ground surface temperature of four limit end members based on the end metainformation model; 4, estimating and obtaining the surface temperature and evapotranspiration of other elements among the end members in the end metainformation model. According to the method, different response processes of the underlying surface layer water content and root zone water content on soil evaporation and vegetation transpiration can be effectively considered, and the estimation precision of underlying surface ground surface soil and vegetation evapotranspiration is improved.

Description

technical field [0001] The invention belongs to the technical field of evapotranspiration or soil moisture remote sensing inversion, in particular to a method for effectively estimating soil and vegetation evapotranspiration based on an end-member information model. Background technique [0002] Evapotranspiration (ET) is an important part of the water cycle and surface energy balance, and determines the water and heat transfer in the soil-vegetation-atmosphere system. play an important role. However, remote sensing technology is considered to be the only feasible method to obtain regional-scale evapotranspiration distribution on the earth's surface from the aspects of technology, economy and effectiveness. [0003] Currently, the remote sensing evapotranspiration estimation models that have been developed include one-source model, dual-source model, and surface temperature-vegetation index triangle / trapezoidal model (Kalma et al., 2008; Li et al., 2009; Wang & Dickson, 201...

Claims

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Application Information

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IPC IPC(8): G01N33/24
CPCG01N33/24
Inventor 唐荣林李召良姜亚珍唐伯惠吴骅刘萌王桐
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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