• DocumentCode
    2225643
  • Title

    Global water mapping using MODIS tasseled cap indexes

  • Author

    Hoan, Nguyen Thanh ; Tateishi, Ryutaro ; Phong, Dong Xuan ; Johnson, Brian

  • Author_Institution
    Center for Environ. Remote Sensing (CEReS), Chiba Univ., Chiba, Japan
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7161
  • Lastpage
    7164
  • Abstract
    Monitoring changes in water resources is very important due to water´s importance for daily life. MODIS data is acquired at a high temporal resolution, and it is expected to continue acquiring data for many more years, making its good data source for monitoring water change at the continental to global scale. Existing global maps of water are not consistent with each other, and may not be suitable for water monitoring. The objective of this study is to develop a method for automated water mapping and monitoring at continental to global scales using MODIS data. MODIS 2008 data, a cloud free dataset processed by CEReS Chiba University, were used. MODIS tasseled cap indexes were calculated and integrated in some combination models with the reference of some existing maps and a DEM to map global water coverage. The water map produced in this study was compared with some other existing global maps such as GLOBCover, MOD44W, and GLCNMO 2003. Results of the comparisons show that product of this study, MODIS2008_WM, is better than other existing maps for the purpose of water mapping.
  • Keywords
    digital elevation models; geophysical image processing; hydrological techniques; water resources; CEReS Chiba University; DEM; GLCNMO 2003; GLOBCover; MOD44W; MODIS data; MODIS tasseled cap indexes; MODIS2008_WM; automated water mapping; cloud free dataset; continental scale; data source; global scale; global water coverage; global water mapping; high temporal resolution; water change monitoring; water importance; water resources; Educational institutions; Indexes; Lakes; MODIS; Monitoring; Remote sensing; Water resources; Brightness; Greenness; MODIS 2008 data; Wetness; water change monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352011
  • Filename
    6352011