• DocumentCode
    2879159
  • Title

    Land Use Change and Information Extraction of Rural Residential Land Based on Corona KH-4B Imagery

  • Author

    Dong Jin-jin ; Chen Ning-hua ; Ma Yi-hang ; Chen Jian-yu

  • Author_Institution
    Dept. of Earth Sci., Zhejiang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    1-3 June 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Rural residential land use is a major indicator on Land use/cover change (LUCC) research, particularly in China, where the land cover has changed greatly over the past 40 years. In this paper, a case study was taken to extract the spatial distribution feature of rural residential land in west area of Hangzhou, China, using Corona KH-4B (1969) satellite imagery declassified by US. An accurate assessment was performed compared the result with cadastral data in the same time. The land use status information of rural residential land was extracted by using QuickBird(2011) imagery and the 40-year land use change was analyzed based on geographic information systems (GIS). The results show that the patch precision was about 94%, area precision was about 93%; the study area of rural residential land reduced to 186.1hm2 in 2011 from 202.7hm2 in 1969, the percentage of waters dropped 16.1%, with the area 1417.8hm2 in 1969 sharply declining to 364.8hm2 in 2011.
  • Keywords
    geographic information systems; geophysical image processing; land use planning; terrain mapping; AD 1969; China; Corona KH-4B satellite image; Hangzhou; QuickBird image; cadastral data; geographic information systems; land cover change; land use change; rural residential land feature; rural residential land information extraction; rural residential land use; spatial distribution; Abstracts; Corona; Data mining; Feature extraction; Image resolution; Remote sensing; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0872-4
  • Type

    conf

  • DOI
    10.1109/RSETE.2012.6260610
  • Filename
    6260610