Methods to extract impervious surface areas from satellite images

查看全文 作　　者：Dengsheng [1,2,3]Lu;Guiying [3]Li;Wenhui [4]Kuang;Emilio [3]Moran

机构地区：[1]Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration,Zhejiang A&F University,Lin’An,Zhejiang,China;[2]School of Environmental and Resource Sciences,Zhejiang A&F University,Lin’An,Zhejiang,China;[3]Center for Global Change and Earth Observations,Michigan State University,East Lansing,MI,USA;[4]Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,China

出　　处：《International Journal of Digital Earth》索引2014年第7卷第2期,共20页

基　　金：The authors acknowledge supports from the Zhejiang A&F University’s Research and Development Fund-talent startup project(2013FR052);Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration,School of Environmental and Resource Sciences,Zhejiang A&F University and Center for Global Change and Earth Observations,Michigan State University. 摘　　要：Impervious surface area(ISA)is an important parameter for many environmental or socioeconomic relevant studies.The unique characteristics of remote sensing data made it the primary data source for ISA mapping at various scales.This paper summarizes general ISA mapping procedure and major techniques and discusses impacts of scale issues on selection of remote sensing data and corresponding algorithms.Previous studies have indicated that ISA mapping remains a challenge,especially in urban–rural frontiers and in covering a large area.Effectively employing rich spatial information in high spatial resolution imagery through texture and objectbased methods is valuable.Data fusion of multi-resolution images and spectral mixture analysis are common approaches to reduce the mixed pixel problem in medium spatial resolution images such as Landsat.Coarse spatial resolution images such as MODIS and DMSP-OLS are valuable for national and global ISA mapping but more research is needed to effectively integrate multisource/scale data for improving mapping performance.Development of an optimal procedure corresponding to specific study areas and purposes is required to generate accurate ISA mapping results. 关键词：satellite images impervious surface area MAPPING MODELING

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Methods to extract impervious surface areas from satellite images

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