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The Analysis To The Effect Of Urban Planting Vegetable To Thermo Field Using Remote Sensing Data Mining

Posted on:2008-05-01Degree:MasterType:Thesis
Country:ChinaCandidate:J W WuFull Text:PDF
GTID:2120360212490503Subject:Cartography and Geographic Information System
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Taking Shanghai as an exampling area and getting information of both vegetation and thermo field from Landsat data since May 11, 1986, the effect of urban planting vegetable to thermo field has been analyzed supported by the technologies of both mining data from a remotely sensed image and analyzing spacial correlation in a GIS.Urban vegetation cover can be weighed by Normalized Difference Vegetation Index (NDVI), Green Vegetation Index from Tasseled Cap Transformation (Kauth-Thomas transformation), and vegetation fraction by the technology of spectral mixture analysis. In this thesis, these three index were analyzed and the result suggestes that vegetation fraction from the technology of improved spectral mixture analysis has a high accuracy and low cost and is more effective. Green Vegetation Index from Tasseled Cap Transformation does not provide an independent measurement of vegetation information although it reflects urban green vegetation in a certain extent. Vegetation index indicates both vegetation's biomass and growth state, and in this thesis vegetation fraction is adopted in the analysis of the effect of urban planting vegetable to thermo field.Urban heat field can be indicated by special atmosphere layers or special land surface layers, such as canopy layer heat island (CLHI), boundary layer heat island (BLHI), and surface urban heat island (SUHI). In addition, researches in the paper show that there is a close correlationship between land surface temperature and impervious surface ratio. Impervious surface ratio can be considered as another index to characterize urban heat field. The analysis of spatial distribution charaters and evolvement patterns of urban heat field in Shanghai indicates that the range of urban heat field has been expanding and its structure is more complicated while it has evolved from centralized to dispersed distribution.Then, correlation and regression analysis reveal a strong negative correlationship between land surface temperature and vegetation fraction and sample zone statistics tell us that temperature valleys are formed on green land in urban heat field. Flaky green land can distinctly weaken heat island effect although surroundings around flaky green land can influence the function.The positive effect of urban planting vegetable to thermo field of Shanghai city has an important meaning for city continuable development. The conclusions of the researches of this thesis can provides accordance for greenbelt planning and our social can receive the maximam benefit from the limited green land.
Keywords/Search Tags:Shanghai, remote sensing, Landsat, vegetation fraction, impervious surface, urban heat field
PDF Full Text Request
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