Analysis On The Coupling Relationship Between Urban Vegetation And Land Surface Temperature In Taizhou City Based On Remote Sensing And GIS

In recent years, the global urbanization has been accelerating, whichleading to a series of urban environmental deterioration problems, globalwarming has become more serious. In the process of research in ecologicalenvironmental problems, vegetation cover and the urban heat-island effect,have attracted worldwide attention of scientists. Along with urban scaleexpansion, the population in Taizhou has increased rapidly, the city’spattern, function, division and etc. have undergone great changes, thesehave a significant impact on local ecological environment. Therefore,in-depth study of the local ecological environment on the changs of timeand space patterns and analyzing its evolution rules have significantmeanings in the city planning and construction, the local ecologicalenvironment restoration and protection and the improving the quality oflife.This paper carried on from various aspects of the urban heatenvironment, the urban land use/cover classification and the urban hotenvironment and vegetation cover quota relations, etc. It used different methods to launch the empirical study comparison on the identical researcharea and provided the reference for the fundamental research and thepractice plan. This paper introduced the process of surface temperatureinversion, based on the Landsat TM/ETM+image and the brightnesstemperature calculations and uesd the data from the gray level inversion ofbrightness temperature to show the urban heat environment. The resultsshow that the study area gradually expanded the scope of urban thermalfield, the structure is more complex, and by the high concentration ofdevelopment to the fragmentation. Introduced five brightness temperaturegrading method, ISODATA, supervised classification, based on robuststatistical methods, density segmentation and the relative brightnesstemperature based on the ecological evaluation index partition, and usedthe same study area and comparison of brightness temperatureclassification, analysis temporal and spatial characteristics of the thermalenvironment. The results showed that the facors of the bright warm rankdivision method, the rank number and the graded index are all related to thefeatures of urban thermal enviornment.Based on the data source, thermal environment, urban land use/coverclassification and the statistical model, to discuss research progress, thuscan I sets the paper research aim and the technical route, and present themeaning of research. Analysis of urban thermal environment. The paperbriefly introduced the surface temperature inversion and carried on the bright warm inversion according to the research goal to the research area.The paper used five methods of the non-supervised classification, thesupervised classification, the methods of steady statistical basis, the densitysegmentation method and the relative brightness temperature of theecological evaluation basis to carry on the research comparison of brightwarm rank division in the identical research area and analyze urban thermalenvironmental features.Urban land cover classification. Land cover is one of the importantfactor to the thermal environment. The paper stated three methods of thenon-supervised classification of land cover, the supervised classificationand the spectral knowledge-based multi-step classification, while comparedthe above three effections. It used the application of the NormalizedDifference Vegetation Index to explore the vegetation characteristics of thestudy area. Quantitative relationship between urban thermal environmentand Urban vegetation cover. The same region in different ways on theurban thermal environment and vegetation cover to study the quantitativerelations and the establishment of statistical model, analysis of differentmethods of effect. Meanwhile it carried on the exploration from thedifferent angle to the urban thermal environment and the vegetation coverrelations. It set up the establishment of brightness temperature and NDVIand the quantitative relationship model between brightness temperature andvegetation area for the three methods division of brightness temperature level. It tried to count the brightness temperature, establish the vegetationpatch area and brightness temperature and the vegetation patch area andNDVI quantitative relationship model from point vegetation area andprovided the reference for the urban green spaces construction and thepractice plan. Analysis of Taizhou vegetation landscape ecology planning.It evaluated the key indicators of green spaces ecology, and made the plans.