• DocumentCode
    3313965
  • Title

    Application of Landsat and HJ1B data in monitoring water area

  • Author

    Tong Tang ; He Huang ; Ping Wang ; Wenbo Li

  • Author_Institution
    Dept. of Remote Sensing, Nat. Disaster Reduction Center of China, Beijing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2172
  • Lastpage
    2176
  • Abstract
    Water resource is one of irreplaceable strategic resources of human survival and social development and an important factor in flood disaster and drought disaster assessment. With Qingjiang River as the test in this paper, normalized difference water index and modified normalized difference water index have been employed to extract water area from Landsat and HJ1B imageries so as to quantitatively research the dynamic change of water resource distribution. The results show that the total water resource area of Qingjiang River 16.19 km2 in 1987, and that increased to 91.22 km2 in 2009. The results imply two models can accurately extract water resource area and both can be used to monitor water resources dynamic change in water resource management and natural disasters risk assessment.
  • Keywords
    disasters; floods; geophysical image processing; remote sensing; risk management; rivers; water resources; China; HJ1B data; HJ1B imagery; Landsat data; Landsat imagery; Qingjiang River; drought disaster assessment; flood disaster; human survival; modified normalized difference water index; natural disaster risk assessment; remote sensing; social development; total water resource area; water information; water resource distribution; water resource dynamic change; water resource management; Data mining; Earth; Feature extraction; Remote sensing; Rivers; Satellites; Water resources; HJ1B; Landsat; dynamic monitoring; remote sensing; water information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6020049
  • Filename
    6020049