• DocumentCode
    3318330
  • Title

    Resolving shadows in high resolution satellite images for estimating carbon uptake in urban-suburban areas

  • Author

    Wu, Jindong ; Bauer, Marvin E.

  • Author_Institution
    Dept. of Geogr., California State Univ., Fullerton, CA, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3335
  • Lastpage
    3338
  • Abstract
    Vegetation is a basic component of urban-suburban landscapes, and turfgrass is a major vegetation type in U.S. cities. QuickBird images were acquired to map the spatial distribution of turfgrass, monitor vegetative conditions, and estimate carbon uptake. Shadows in the images were detected and removed by taking advantage of the high radiometric resolution of the QuickBird data. The results indicated that turfgrass accounted for significant proportions of land cover in the study area. Lawn grass generally has lower productivity and greater spatial variability than those of golf grass, but contributes more to carbon uptake because of the larger area coverage.
  • Keywords
    geophysical image processing; image resolution; vegetation mapping; QuickBird data; QuickBird image; carbon uptake; golf grass; high resolution satellite image; land cover; lawn grass; productivity; radiometric resolution; spatial distribution; spatial variability; turfgrass; urban-suburban areas; urban-suburban landscape; vegetation; vegetative condition monitoring; Carbon; Image resolution; Reflectivity; Remote sensing; Satellites; Soil; Vegetation mapping; Carbon cycle; QuickBird; gross primary production; land use and land cover; turfgrass;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650582
  • Filename
    5650582