• DocumentCode
    3064119
  • Title

    COmparison of MNDWI and DFI for water mapping in flooding season

  • Author

    Baig, Muhammad Hasan Ali ; Lifu Zhang ; Shudong Wang ; Gaozhen Jiang ; Shanlong Lu ; Qingxi Tong

  • Author_Institution
    Inst. of Remote Sensing Applic., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2876
  • Lastpage
    2879
  • Abstract
    Water delineation during flooding is an important research issue in the context of different background regions for protecting both people and agriculture. This paper compares two very important water indices for practical water mapping especially in the context of river flood management. Desert Flood Index (DFI) is a new index which has been introduced as an modification to famous MNDWI for flooding in the river basin having both desert and vegetation areas. In this study disastrous Indus River flooding of 2010 in Pakistan is considered as a case study by using MODIS and Landsat TM data. Images for both Pre-flooding and flooding are analyzed for the most significant part of river flooding. Results proved that DFI appeared to be more efficient than MNDWI in delineating water body from its background features by enhancing contrast.
  • Keywords
    floods; remote sensing; rivers; vegetation; AD 2010; Landsat TM data; MNDWI; MODIS data; desert area; desert flood index; disastrous Indus river flooding; flooding season; river basin; river flood management; vegetation area; water delineation; water index; water mapping; Accuracy; Floods; Indexes; MODIS; Remote sensing; Rivers; Satellites; DFI; Landsat; MNDWI; MODIS; Remote sensing; Water mapping; flood;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723425
  • Filename
    6723425