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Research On The Comprehensive Evolution Of The Heat Island Effect Of Guangdong, Hong Kong And Macao Based On Remote Sensing

Posted on:2021-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:L Y YanFull Text:PDF
GTID:2430330611958939Subject:Geodesy and Survey Engineering
Abstract/Summary:PDF Full Text Request
In order to comprehensively and accurately study the development of the urban heat island effect and its evolution pattern in the Guangdong-Hong Kong-Macao Greater Bay Area in recent decades,this paper uses the MODIS and Landsat series data to eliminate the effects of different time and weather differences,and generates medium and high-resolution ground surfaces covering the Greater Bay Area.Temperature data;then through experimental analysis,the pseudo-invariant feature method was used to normalize the multi-temporal surface temperature data to divide the heat island intensity level,so as to analyze the overall and local heat island effect changes of Guangdong-Hong Kong-Macao from 2000 to 2015;and combined land Using classified data,the spatial coupling of construction land and urban heat island changes is explored,and the pattern of urban heat island effects in Guangdong-Hong Kong-Macao is analyzed.(1)fusion and stitching of full-coverage remote sensing images in the Guangdong-Hong Kong-Macao Greater Bay Area.In this paper,four time periods were selected from 2000 to 2015,and Landsat images and MODIS temperature products were obtained as close as possible to the four periods in the study area.Multi-source Image Fusion Stitching Model(MI-FSM)based on MODIS and Landsat series data and large-area multi-source surface temperature fusion.First,the MODIS LST and the Landsat LST are fused,and multiple Landsat LSTs in different phases are synthesized into LST images with a uniform specific phase.Then,mosaic the synthetic LST image to achieve the mosaic of multiple Landsat8 LST images in the Guangdong-Hong Kong-Macao Greater Bay Area.Four accurate Guangdong-Hong Kong-Macao LST results were obtained.(2)Regularization of surface temperature images of multi-temporal remote sensing and heat island classification.The pseudo-invariant feature method is used to normalize the multi-temporal remote sensing surface temperature images of LST achievements in Guangdong-Hong Kong-Macao Greater Bay Area so that the multi-temporal images have the same radiation scale(or radiation resolution).Then,the normalized LST image is divided into points by mean-standard deviation,and the intensity level of the heat island is divided into 6 levels: low temperature zone,sub-low temperature zone,middle temperature zone,sub-high temperature zone,high temperature zone and ultra high temperature zone.And statistics of heat island intensity grade area and ratio in 4 periods.(3)Analysis on the Spatial and Temporal Evolution of Urban Heat Island Effect in Guangdong-Hong Kong-Macao Greater Bay Area.First,calculate the heat island proportion index of the whole region and the regional heat island in Guangdong-Hong Kong-Macao Greater Bay Area,and analyze the spatial and temporal changes of the heat island effect in the whole region and the region.Then,based on the land use change data in the four periods of the study area,the main features of artificial surface and forest land cover change were analyzed to analyze the spatial and temporal changes of land use.Finally,an analysis of the change pattern of the urban heat island effect in Guangdong-Hong Kong-Macao Greater Bay Area is carried out in a way that integrates the local areas.Through rigorous and comprehensive research,this paper discusses in detail the changing pattern of the urban heat island effect in Guangdong,Hong Kong,and Macau,and provides guidance for the sustainable development of the urban economy in the Guangdong-Hong Kong-Macao Greater Bay Area.
Keywords/Search Tags:Guangdong-Hong Kong-Macao Greater Bay Area, Urban Heat Island effect, Fusion and Splicing, Formalization, Evolution
PDF Full Text Request
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