A set and structure modeling and quantitative description method for surface temperature spatial variability

Abstract

The invention requests to protect a multi-scale characteristic quantitative description method for surface temperature spatial variability based on a set and a structure model, and the method comprises the steps of carrying out the data preprocessing of a Landsat8 remote sensing image of a research region, and carrying out the surface temperature inversion through employing a classical surface temperature inversion algorithm, proposing the principle of spatial distribution characteristics of the surface temperature under different spatial scales, fitting the surface temperature spatial variability under each scale through a theoretical semi-variation function established based on a single structure model; obtaining an obtained function curve, carrying out segmentation processing, establishing a theoretical semi-variation function based on a set and a structure model, carrying out fitting on the surface temperature spatial variability under each scale again, and finally obtaining a block gold value, a partial base station value, a base station value, a block base ratio and a variable range. The method can be used for the urban areas with complex terrain structures, and is more accurate and comprehensive compared with the conventional method for analyzing the spatial distribution of the surface temperature in a qualitative manner.

Description

technical field [0001] The invention belongs to the field of multi-scale feature analysis of surface temperature. Specifically, a theoretical semivariogram based on the nested structure model is designed to further quantitatively analyze the multi-scale feature method of the spatial variability of surface temperature. Background technique [0002] Land Surface Temperature (LST) refers to the temperature of the Earth's surface, which is a comprehensive reflection of the interaction between the Earth's surface and the atmosphere and energy transmission such as solar radiation. [0003] The spatial variability of the surface temperature means that the surface temperature shows a certain degree of inhomogeneity in the spatial distribution, and within a certain spatial range, there is a certain mutual influence between the surface temperature at different locations. From the perspective of a pixel, there is also a certain degree of non-uniformity in the surface temperature withi...

AI Technical Summary

Problems solved by technology

The quantitative parameters obtained by this single structural model often have certain errors. Therefore, it is necessary to establish a theoretical semivariogram based on a multi-level set and structural model, so that the spatial variability of surface temperature can be described more accurately, and further from the multi-spatial Quantitative Analysis of Changes in Spatial Variability of Urban Surface Temperature from the Perspective of Scale

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