Urban heat island intensity quantification method and system, storage medium and equipment

Abstract

The invention relates to an urban heat island intensity quantification method and system, a storage medium and equipment. The method comprises the following steps: acquiring and preprocessing remote sensing image information of a target area; performing inversion calculation on the preprocessed remote sensing image information to obtain surface temperature information; performing local space autocorrelation analysis on the target area according to the surface temperature information; and calculating the relative urban heat island strength of the local space and carrying out ward minimum variance clustering analysis to determine the urban heat island strength grade of the local space. According to the invention, the remote sensing image is subjected to preprocessing and inversion calculation to obtain the surface temperature information, and local space autocorrelation analysis is carried out to obtain the average value of the surface temperature information of the target type of the local space, so that the relative urban heat island intensity and urban heat island intensity level of the local space are accurately calculated; the problems that an existing method is difficult to ignore, application limitation is caused, and the surface temperature is affected by the surrounding environment are greatly solved, the quantification result is accurate, and the application range is wider.

Description

Technical field[0001]The present invention relates to the technical field of urban environment analysis, in particular to a method, system, storage medium and equipment for quantifying the intensity of urban heat islands.Background technique[0002]With the continuous advancement of global urbanization, the transformation of urban natural landscapes into impervious surfaces has caused a series of environmental problems. Urban heat island is one of the most typical environmental problems. It refers to a phenomenon in which the temperature in the urban area is higher than that in the suburbs. It exacerbates extreme weather events, increases energy consumption, endangers the health of residents, increases heat-related mortality, and worsens The air quality and so on.[0003]Indicators calculated based on remote sensing data are often used to quantify the intensity of urban heat islands. The classic method is to quantify the temperature difference between cities and suburbs. However, the am...

AI Technical Summary

Problems solved by technology

However, these methods have various limitations

First, the study shows that the city-water body temperature differential approach is only effective in the presence of large water bodies, and other methods have similar limitations

Secondly, the LST of water body, cultivated land, other areas, and woodland is closely related to the surrounding natural environment. The local LST will be affected by the intensity of the surrounding LST, and there are significant seasonal changes in plant activities such as woodland and cultivated land. Plant leaves in spring and autumn It has not yet fully expanded or has withered, so the above methods may have problems such as underestimating the urban heat island intensity in spring, summer, and autumn, and overestimating the urban heat island in winter.

Finally, the application of the average-fixed threshold method is also greatly limited due to its heterogeneity in city size, development mode, etc.

Images