• DocumentCode
    2681512
  • Title

    Dynamic monitoring of wetland in Maqu by means of remote sensing

  • Author

    Cai, Dihua ; Guo, Ni

  • Author_Institution
    Inst. of Arid Meteorol., Lanzhou
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    4603
  • Lastpage
    4606
  • Abstract
    In this paper, the spatial distribution and changes of Maqu wetlands were acquired by use of landsat-5 TM and landsat-7 ETM+ data in 1990, 1994, and 2001, and using GIS techniques and the Stepwise Discriminant Analysis of spatial- statistics, which based on seven variables, including band-1, band-2, band-3, band-4, band-5, band-7, and altitude, and avoided the lose and overlap of information. It was found that the extent of Maqu wetlands in 1990, 1994, and 2001 was 1151.70, 1103.25, and 1049.32 km2, respectively, which decreased with a ratio of 0.74% during 1990 and 2001. Preliminary analysis based on the meteorological data was carried out and showed that warming and arid climate and human activities played important roles in the wetland degradation over Maqu county.
  • Keywords
    climatology; geographic information systems; geophysics computing; remote sensing; AD 1990 to 2001; GIS techniques; Maqu wetlands change; Stepwise Discriminant Analysis; altitude variable; arid climate; band-1 variable; band-2 variable; band-3 variable; band-4 variable; band-5 variable; band-7 variable; human activities; landsat-5 TM data; landsat-7 ETM+ data; meteorological data; spatial distribution; spatial-statistics; wetland degradation; Degradation; Geographic Information Systems; Humans; Information analysis; Meteorology; Remote monitoring; Remote sensing; Satellites; Statistical analysis; Statistical distributions; Climate change; Human activities; Maqu county; RS & GIS; Stepwise Discriminant Analysis; Wetland degradation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423883
  • Filename
    4423883