• DocumentCode
    29939
  • Title

    Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands

  • Author

    Xihan Mu ; Shuai Huang ; Huazhong Ren ; Guangjian Yan ; Wanjuan Song ; Gaiyan Ruan

  • Author_Institution
    Res. Center for Remote Sensing & GIS, Beijing Normal Univ., Beijing, China
  • Volume
    8
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    439
  • Lastpage
    446
  • Abstract
    Fractional vegetation cover (FVC) is one of the most important criteria for surface vegetation status. This criterion corresponds to the complement of gap fraction unity at the nadir direction and accounts for the amount of horizontal vegetation distribution. This study aims to directly validate the accuracy of FVC products over crops at coarse resolutions (1 km) by employing field measurements and high-resolution data. The study area was within an oasis in the Heihe Basin, Northwest China, where the Heihe Watershed Allied Telemetry Experimental Research was conducted. Reference FVC was generated through upscaling, which fitted field-measured data with spaceborne and airborne data to retrieve high-resolution FVC, and then high-resolution FVC was aggregated with a coarse scale. The fraction of green vegetation cover product (i.e., GEOV1 FVC) of SPOT/VEGETATION data taken during the GEOLAND2 project was compared with reference data. GEOV1 FVC was generally overestimated for crops in the study area compared with our estimates. Reference FVC exhibits a systematic uncertainty, and GEOV1 can overestimate FVC by up to 0.20. This finding indicates the necessity of reanalyzing and improving GEOV1 FVC over croplands.
  • Keywords
    geophysical image processing; vegetation; vegetation mapping; FVC products; GEOLAND2 project; GEOV1 fractional vegetation cover; Heihe Watershed Allied Telemetry Experimental Research; Heihe basin; Northwest China; SPOT-VEGETATION data; airborne data; coarse-resolution remote sensing images; croplands; gap fraction unity; green vegetation cover product; horizontal vegetation distribution; nadir direction; spaceborne data; surface vegetation status; Earth; Land surface; Remote sensing; Satellites; Sensors; Spatial resolution; Vegetation mapping; Coarse resolution; SPOT/VEGETATION; fractional vegetation cover; product validation;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2014.2342257
  • Filename
    6879249