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Change And Urban Heat Island Landsat Data

Posted on:2014-01-30Degree:MasterType:Thesis
Country:ChinaCandidate:M SiFull Text:PDF
GTID:2261330425959084Subject:Environmental Science
Abstract/Summary:PDF Full Text Request
Recently, whit the continuous development of urbanization, represented by urban heat island effect(UHI effect),the thermal environment change directly or indirectly influenced the urban surroundings quality. Researching and prediction on spatial-temporal evolvement of thermal environment in the cities, establishing the alleviation and protection plan for UHI, will play an important role in improving quality and protecting ecosystem.In this paper,taking Tianjin Binhai as an example, by using four Landsat remote sensing images (July30,1992andMay28,1998by TM sensor、July21,2006and August30,2009by ETM+sensor), the land surface temperature was calculated with the mono-window algorithm; By the method of grading LST by Mean-Standard deviation, the range of HUI is defined. Then spatial thermal environment change is estimated in this area though land transition matrix model. Finally, by selecting Markov chain model, we can predict the future change of spatial thermal environment. Through the statistic analysis, it can be found that:1. During1992-2009, the extent of urban heat island effect in Binhai new area is intensifying, and the expansion of the high temperature zone was clear:The area proportion of high temperature zone rose by0.16percent from5.88percent in1992to6.04percent in2009, and special high temperature zone has grown0.4percent.2. By2022, warm zone and high temperature zone of Binhai New Area may be tured into high temperature zone and special high temperature zone respectively, and ’thermal environment of Binhai New Area will be further deteriorated.3.Through analysis the relationship between the surface temperature, NDV1and NDBI respectively, it can be found that change of the surface types caused by human activities is one of the primary cause of expansion of UHI. Trough reasonable greening arrangement and vegetation repair, it could reduce the adverse effects of urban heat island effect.
Keywords/Search Tags:Urban heat island(UHI), Landsat TM/ETM+, mono-window algorithmtransition matrix model, Markov chain model
PDF Full Text Request
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