Method of estimating water use efficiency of temperate forest

A utilization and forest technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of high-time acquisition, limited application, difficult and large scope, etc., to achieve the effect of improving usability and improving estimation accuracy

Inactive Publication Date: 2016-09-14
BEIJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But the soil field water capacity θ in this model F It is difficult to obta...

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  • Method of estimating water use efficiency of temperate forest
  • Method of estimating water use efficiency of temperate forest
  • Method of estimating water use efficiency of temperate forest

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Embodiment 1

[0043] Such as figure 1 Shown, the method for estimating temperate forest moisture availability of the present invention, comprises the steps:

[0044] S100: Obtain satellite remote sensing data EVI of Enhanced Vegetation Index from several flux stations respectively;

[0045] S110: Obtain satellite remote sensing data Ts of daytime surface temperature from several flux stations;

[0046] S120: Obtain the daily fluxes GPP and LE from several flux sites, and convert LE into ET, where GPP is the total productivity of the ecosystem, LE is the latent heat flux, and ET is the evapotranspiration, calculated by WUE=GPP / ET Get the observed value of WUE;

[0047] S130: Substituting the data set of Ts in step S100, EVI in S110 and WUE in S120 into the model calculation formula of water availability in temperate zone forest as follows:

[0048] WUE=a 0 +a 1 EVI+a 2 EVI·T s ,

[0049] In the formula, WUE is the water availability rate of the temperate forest, a 0 、a 1 and a 2 i...

Embodiment 2

[0053] Such as figure 2 Shown, the method for estimating temperate forest moisture availability of the present invention, comprises the steps:

[0054] S200: Obtain satellite remote sensing data EVI of Enhanced Vegetation Index from several flux stations, and remove the cloud noise in it through a preprocessing algorithm to obtain EVI time series data that meets the standard every 16 days; the preferred preprocessing algorithm is Savitzky– Golay filtering;

[0055] S210: Obtain the satellite remote sensing data Ts of the daytime surface temperature from several flux stations, and obtain the 8-day average daytime surface temperature through a preprocessing algorithm, and calculate its annual average, so as to obtain the annual average daytime surface temperature; preferred The preprocessing algorithm is to eliminate invalid values ​​and values ​​whose daytime surface temperature is less than 5°C, invalid values ​​such as blank or 0 values;

[0056] S220: Obtain the daily flu...

Embodiment 3

[0063] Such as image 3 Shown, the method for estimating temperate forest moisture availability of the present invention, comprises the steps:

[0064] S300: Obtain satellite remote sensing data EVI of Enhanced Vegetation Index from several flux stations, and remove the cloud noise in it through a preprocessing algorithm to obtain EVI time series data that meets the standard every 16 days; the preferred preprocessing algorithm is Savitzky– Golay filtering;

[0065] S310: Obtain the satellite remote sensing data Ts of the daytime surface temperature from several flux stations, and obtain the 8-day average daytime surface temperature through a preprocessing algorithm, and calculate its annual average, so as to obtain the annual average daytime surface temperature; preferred The preprocessing algorithm is to eliminate invalid values ​​and values ​​whose daytime surface temperature is less than 5°C, invalid values ​​such as blank or 0 values;

[0066] S320: Obtain the daily flux...

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Abstract

The present invention discloses a method of estimating the water use efficiency of a temperate forest. The method comprises the following steps of (1) respectively obtaining satellite remote sensing data of enhanced vegetation index EVI from a plurality of flux sites; (2) respectively obtaining satellite remote sensing data of daytime surface temperature Ts from the plurality of flux sites; (3) obtaining WUE observed values according to daily flux data of the flux sites; (4) putting a data set of the EVI, the Ts and the WUE observed values into a model calculation formula of the water use efficiency of the temperate forest WUE=a0+a1*EVI+a2*EVI*Ts; and (5) estimating undetermined coefficients a0, a1 and a2 in the model calculation formula through a model calibration method, and obtaining an estimated value of the water use efficiency of the temperate forest. Statistical modeling is carried out by adoption of easily obtained remote sensing observation data, the water use efficiency of the temperate forest can be effectively estimated through the model calibration method and significantly related to actual observed values, and therefore support is provided for applications such as forest management.

Description

technical field [0001] The invention relates to a method for estimating the water availability rate of a temperate forest. Background technique [0002] Forest water availability (Water Use Efficiency, WUE) is an important biophysical property of the ecosystem. It represents the amount of carbon fixed by vegetation per unit amount of water consumed. According to the definition, estimating WUE needs to obtain the gross primary product (GPP) and evapotranspiration (Evapotranspiration, ET) of the terrestrial ecosystem at the same time, and the ratio of the two is WUE, as shown in the following formula: [0003] WUE=GPP / ET. [0004] Although people can easily observe the above two types of fluxes at the observation site, the acquisition of GPP and ET in a large area depends on the estimation of the model. These models require more input parameters, which may lead to the accumulation of estimation errors. Therefore, people also use statistical models to estimate WUE indirectl...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 陈云浩王萌杰
Owner BEIJING NORMAL UNIVERSITY
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