Quantitative evaluation method for spatial-temporal differentiation effect of earth surface thermal environment based on pixel trisection model

Abstract

The invention discloses a quantitative evaluation method for a s spatial-temporal differentiation effect of earth surface thermal environment based on a pixel trisection model. The vegetation coverageof a mining development dense area is estimated by using a pixel trisection model; an NDVI-DFI feature space is constructed to extract an end member feature value; and a mixed pixel on a medium-resolution remote sensing image is decomposed into three parts, namely photosynthetic / non-photosynthetic vegetation and bare soil. The estimation conforms to actual situations, the capability of obtainingvegetation information through remote sensing is enhanced, the spatial-temporal differentiation characteristic relation of photosynthetic / non-photosynthetic vegetation and bare soil to the regional earth surface thermal environment is evaluated quantitatively, and a quantitative reference basis is provided for revealing an influence mechanism of photosynthetic / non-photosynthetic vegetation and bare soil to the spatial-temporal heterogeneity of the earth surface thermal environment in a mining development dense region.

Description

technical field [0001] The invention relates to a quantitative evaluation method for the spatiotemporal differentiation effect of the surface thermal environment, in particular to a quantitative evaluation method for the spatiotemporal differentiation effect of the surface thermal environment in a mining development-intensive area based on a pixel three-part model. Background technique [0002] Land surface temperature (LST) and vegetation fractional coverage (VFC) are important indicators of ecological environment change. The study of their temporal and spatial changes and their relationship is of great significance for evaluating regional ecological environment construction and improving regional ecological environment quality. Significance. [0003] Vegetation coverage affects both surface energy exchange and surface heat flow, and is an important factor affecting surface temperature. Based on various vegetation indexes, such as normalized difference vegetation index (ND...

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Problems solved by technology

In the current research on the differentiation effect of regional surface thermal environment, non-photosynthetic vegetation is taken as a component, and the mixed pixels of medium-resolution multispectral remote sensing images are decomposed into photosynthetic / non-photosynthetic vegetation and bare soil based on the pixel three-part model There are few reports on the inversion of vegetation coverage by these three components and the analysis of their evolution with the spatio-temporal differentiation effect of surface thermal environment in mining intensive areas

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