Target parcel ground surface temperature simulation and optimization method

Abstract

The invention discloses a target parcel ground surface temperature simulation and optimization method, which comprises the following steps: correspondingly obtaining the first ground surface temperature influence factor average value, the second ground surface temperature influence factor data and the ground surface temperature average value from remote sensing data and vector data of different built parcel remote sensing images, and establishing a geographical data base; using attribute data of the geographical data base for establishing the multiple regression relationship among the ground surface temperature average value, the first ground surface temperature influence factor average value and the second ground surface temperature influence factor data of the built parcels; obtaining the target parcel ground surface temperature initial value through the first ground surface temperature influence initial value, the second ground surface temperature influence initial value of the target parcels and the multiple regression relationship; regulating the ground surface temperature initial value into the ground surface temperature optimization value of the built parcels through regulating the first ground surface temperature influence factor and / or the second ground surface temperature influence factor initial value of the target parcels according to the multiple regression relationship; and obtaining the optimized ground surface temperature of the target parcels.

Description

technical field [0001] The invention relates to remote sensing image analysis, processing and application, in particular to a method for simulating and optimizing the surface temperature of a target plot, which can be used to promote the improvement of urban thermal environment. Background technique [0002] As a basic element of the human living environment, temperature is an important monitoring index to measure the urban thermal environment. Due to the defects of traditional ground observation and other technologies, it is difficult to obtain large-scale air temperature raster data, and the accuracy of the obtained data is not ideal. The development of thermal infrared satellite remote sensing technology provides a basic means for monitoring urban thermal field and obtaining large-area urban surface temperature information, thereby reducing human interference in local environments, enabling more intuitive and quantitative research on urban thermal environment, and the info...

AI Technical Summary

Problems solved by technology

Few scholars have introduced the discipline of urban planning to study the urban thermal environment, and few scholars have combined artificially collected planning data with extracted remote sensing data to reveal the degree of influence of urban thermal environmental factors, making planning and design work less feasible

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