• DocumentCode
    2709561
  • Title

    Soil salinization study in angulinao wetlands based on multi-source remotely sensed imagery

  • Author

    Lina Zhang ; Jicang Wu ; Xiao Cheng ; Guangliang Peng

  • Author_Institution
    Dept. of Surveying & Geo-Inf., Tongji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    27-29 Oct. 2009
  • Firstpage
    1104
  • Lastpage
    1108
  • Abstract
    Since remote sensing has much advantage in obtaining information of the surface, it has been more and more often used in the land monitoring. In this paper, there are three frames of remote sensing data including one ETM data in 2001, one CBERS data in 2004 and one AVNIR data in 2007 of the study area. Using the method of decision tree, wetlands, water, vegetation, bare land, light salinity and heavy salinization are successfully separated from the land surface. The reasons of soil salinization in this area have been analyzed. In Angulinao Lake area, the accumulation of soil salinization are caused by the following three factors: arid climate, hydrologic geology and human factors.
  • Keywords
    geophysical image processing; hydrology; image classification; remote sensing; soil; AD 2001; AD 2004; AD 2007; AVNIR data; Angulinao Lake area; Angulinao wetlands; CBERS data; ETM data; arid climate; bare land; decision tree; human factors; hydrologic geology; land monitoring; multisource remote sensing; soil salinization; vegetation; Soil; classification; soil salinization; wetlands;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4076-4
  • Type

    conf

  • DOI
    10.1109/MAPE.2009.5355937
  • Filename
    5355937