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With the rapid development of urbanization, resulting in a series of urban environmental problems, urban heat island is one of the important issues. At present, the urban heat island has affected peoples production and life, but also affect the further development of the city, for the urban heat island studies, the researchers then became a research focus.Taking Shanghai as an example, land-based remote sensing image in 2007, classified using the maximum likelihood method to extract information of Shanghai Land Use Cover. Formula based on brightness temperature, the brightness temperature of the TM6 band inversion, used to represent the urban heat island. Using remote sensing and geographic information systems as an auxiliary research tool to analyze the heat island in 2007, Shanghai, conditions and vegetation cover, quantitative analysis of the Shanghai urban heat island and the quantitative relationship between vegetation, has selected the major parks of woodland and grassland patches Jinshan, Fengxian, Chongming Geng grass residential area of patch and plaque, the relationship between the classification results, failed to extract the trees plaque.The main conclusions of the paper are the following:(1)By visual interpretation, remote sensing images and the combination of land use for interpretation, field survey method of combining three methods, the image from the 2007 election of woodland, grassland, agricultural land, water, construction, land use, Category 5 land use types of samples. Because of research, selected the park in the forest woodland, high on both sides of the outer ring of green, trees, grass in residential areas. Extracted using the maximum likelihood method in Shanghai in 2007 land use / cover information. (2)The use of six-band thermal infrared brightness temperature inversion to obtain the brightness temperature inversion in 2007 map of Shanghai, a Shanghai judge obviously is a typical urban heat island phenomenon in the city.(3)The use of Excels statistical regression analysis, were established in thepark forest patch area, the park grass patch area, residential area grass patch area, patch area and cultivated the relationship between brightness temperature model and try to further explore parks were established for the individual area of grassland and woodland patch plate area and the relationship between brightness temperature; to all the major vegetation patch area, and establish the relationship between brightness temperature model. Also established four types of patch perimeter and the corresponding brightness temperature of the regression model and calculate the shape index and the brightness temperature of the model building. Woodland Park also established plaque brightness temperature, Park Grass patch, patch farmland, residential area plaque area of brightness temperature values, respectively, and the relationship between NDVI model. From research ideas and results, has a certain relevance and scientific value, can the Government to provide land use and planning reference and basis.
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