Ecological restoration evaluation method and ecological restoration evaluation device

Abstract

The invention discloses an ecological restoration assessment method and an ecological restoration assessment device, and the method comprises the steps: obtaining a plurality of standard NDVI of each to-be-assessed region in each time period, carrying out the summation of the data of the plurality of standard NDVI, and obtaining an average value, so as to obtain an average value NDVI of each to-be-assessed region in each time period; obtaining an average value of the climate data of each region to be evaluated in each time period to obtain average value climate data; performing multiple regression equation simulation by taking the average value meteorological data as an independent variable and the average value NDVI dependent variable of each time period of the to-be-evaluated region, and obtaining a predicted value NDVIpre of each time period of each to-be-evaluated region according to a multiple regression equation; obtaining the difference between the predicted value NDVIpre of each time period of the to-be-evaluated region and the corresponding average value NDVI of each time period, so that a plurality of residual errors NDVI can be obtained; forming a residual error curve by each to-be-evaluated area according to the corresponding multiple residual error NDVIs, and performing clustering analysis on the residual error curve corresponding to each to-be-evaluated area.

Description

technical field [0001] The invention relates to the technical field of ecological environment, in particular to an ecological restoration evaluation method and an ecological restoration evaluation device. Background technique [0002] Quantitative analysis of NDVI is to quantify the extent to which human activities affect NDVI changes. Existing technologies are mainly evaluated by residual method and multiple linear regression model method. In the residual method, based on the NDVI data of the ecological region and the precipitation data in this area, the regression equation is obtained by performing regression simulation on NDVI. The difference between the simulated value calculated according to the regression equation and the actual value is obtained to obtain the residual, and the residual at this time can be regarded as the NDVI change caused by human factors. Since the method was proposed in the issue of vegetation degradation in arid areas in 2004, it has been recogni...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an ecological restoration evaluation method and an ecological restora

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