• DocumentCode
    2858424
  • Title

    Scaling Vegetation Water Content from Thematic Mapper to MODIS During SMEX04

  • Author

    Hunt, E. Raymond, Jr. ; Yilmaz, M. Tugrul ; Jackson, Thomas J.

  • Author_Institution
    USDA-ARS Hydrol. & Remote Sensing Lab., Baltimore, MD
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1945
  • Lastpage
    1948
  • Abstract
    Vegetation water content (VWC) is important for accurate retrievals of soil moisture using microwave sensors and may be important for determining water stress and forest fire potential. The MODerate resolution Imaging Spectroradiometer (MODIS) and future operational sensors have bands in the shortwave infrared region which can be used for monitoring VWC. The Soil Moisture Experiments 2004 (SMEX04) were conducted during the summer-monsoon season in Arizona, USA, and Sonora, Mexico, as part of the North American Monsoon Experiment. Plots from different vegetation types were sampled for leaf area index and leaf equivalent water thickness. Landsat 5 Thematic Mapper (TM) and MODIS imagery were acquired for three dates, before, during and after the SMEX04 experiment. The Normalized Difference Infrared Index [NDII = (R850 - R1650)/(R850 + R1650)] was linearly related to canopy equivalent water thickness for the Landsat 5 TM data. The TM-estimated canopy equivalent water thickness were aggregated and linearly related to canopy equivalent water thickness from MODIS, showing that MODIS and future sensors would be useful in estimating vegetation water content.
  • Keywords
    moisture; remote sensing; soil; vegetation; Arizona; Landsat 5 Thematic Mapper; MODIS imagery; MODerate resolution Imaging Spectroradiometer; Mexico; Normalized Difference Infrared Index; North American Monsoon Experiment; SMEX04; Soil Moisture Experiments 2004; Sonora; TM; USA; canopy equivalent water thickness; forest fire potential; leaf area index; microwave sensors; soil moisture; vegetation types; vegetation water content; water stress; Content based retrieval; Fires; Infrared image sensors; MODIS; Microwave sensors; Remote sensing; Satellites; Soil moisture; Stress; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.503
  • Filename
    4241650