Thermal effect quantitative evaluation method and system based on surface type

Abstract

The invention provides a thermal effect quantitative evaluation method and system based on the surface type. comprise the following steps: acquiring thermal infrared remote sensing image data, and inverting the actual surface temperature of a to-be-measured area; taking reflectivity data of visible light, near infrared and other wavebands as a reference image, and carrying out panchromatic multispectral waveband fusion on the reference image to obtain a fused image; carrying out surface classification, and determining components and grades of the surface classification; based on the elastic network regression model, obtaining regression coefficients of different surface types to the surface temperature; determining the influence of the components of the surface type on the regional heat effect; and determining the theoretical average surface temperature of different surface types under each component level and the influence of the spatial pattern on the regional heat effect. Accordingto the embodiment, the optimized elastic network regression model is introduced, and the influence of the surface type components on the LST is stripped from the influence of the surface type space structure on the LST, so that the quantitative evaluation of the surface main type heat effect is realized, and the evaluation accuracy is effectively improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of satellite remote sensing, and in particular to a method and system for quantitatively evaluating thermal effects based on surface types. Background technique [0002] The process of urbanization on a global scale replaces large areas of natural bare soil and vegetation with man-made surfaces, which destroys the regional geo-atmospheric energy balance, making the temperature inside the city higher than that in the surrounding suburbs, thus triggering the "urban heat island". (Urban Heat Island, referred to as UHI)" effect. At present, UHI has become one of the most significant characteristics of climate change in modern cities around the world, and has brought great negative effects on the improvement of global urban air quality, smog control and healthy growth of plants. Understanding and obtaining the thermal behavior of different urban surface types is crucial for balancing ur...

AI Technical Summary

Problems solved by technology

However, due to the endogenous collinearity among multiple types and the complex interaction between type components and spatial patterns, there has been a lack of comprehensive consideration of type components and their thermal contribution to spatial patterns in quantitative evaluation. Stripping method

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