• DocumentCode
    142358
  • Title

    Forest parameters estimation from SAR and Landsat data using look-up table inversion

  • Author

    Guoqing Sun ; Hall, Forrest ; Ni, Wenjian ; Kun Fang ; Masek, Jeffrey ; Fatoyinbo, Temilola ; Peddle, Derek ; Hilker, Thomas

  • Author_Institution
    Dept. of Geogr. Sci., Univ. of Maryland, College Park, MD, USA
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    65
  • Lastpage
    68
  • Abstract
    Radiative transfer (RT) models were used to simulate reflectance at TM bands and radar beckscattering coefficients at L-bands at acquisition conditions of LANDSAT and PALSAR on the acquisition dates. The forest stands aged from 5 to 250 years simulated from a forest growth model ZELIG at test sites were used to feed the RT models to build a look-up table. A simulated optical and SAR dataset was first used to test the LUT method and the results were promising. SAR data is better for biomass estimation and optical for canopy fractional cover estimation. Combined use of the data didn´t improve the biomass estimation and slightly improved the fractional cover estimation. The inversion results from real TM and PALSAR data were presented and discussed.
  • Keywords
    radiative transfer; remote sensing by radar; synthetic aperture radar; vegetation; L-bands; LANDSAT data; LUT method; PALSAR data; SAR dataset; ZELIG forest growth model; biomass estimation; canopy fractional cover estimation; forest parameters estimation; forest stands; optical dataset; radar beckscattering coefficients; radiative transfer models; Biological system modeling; Biomass; Radar; Reflectivity; Remote sensing; Table lookup; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946356
  • Filename
    6946356