Study On Urban Greenblet Landscape Based On Remote Sensing And GIS

With the development of remote sensing, high spatial resolution remote sensing images are extensively used in the studing of city. High spatial resolution remote sensing images can provide important information sources.To abtain the kinds, distribution and structure of urban vegetation by using high spatial resolution remote sensing images can provide objective foundation data. The results are very important to virescence construction and general planning.The paper takes the Beibei Chongqing for example. The aim is the information extraction of vegetation and the other things in the city by using the object-oriented method. The central contents of the paper are model struction, high classes precision and estimation and ananlysis about ubran vegetation, which are the foundations for government decision-making.The main harvests of studing:(1)Image pretreatment:the choice of available bands by quantitative analysis about all bands, Ortho-rectification, then by making use of high spatial resolution remote sensing images and pan image resolve images in the level of pix.(2)Oriented-object method which includes multi-scale segment, repository construction and information extraction is made use of extracting information about city.(3)The traditional classifications (supervised and unsuperviesed) are used extracton information. The methods are compared to the oriented-object method by many indexes.(4)On the bases of remote sensing and GIS, making use of landscape ecology theory and indexes about greenbelt estimation analysis greenbelt actuality and discuss the greenbelt distribution and provide reasonable suggestions.