• DocumentCode
    1881529
  • Title

    See the forests with different eyes

  • Author

    Tan, Chue Poh ; Marino, Armando ; Woodhouse, XIain ; Cloude, Shane ; Suarez, Juan ; Edwards, Colin

  • Author_Institution
    Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    1405
  • Lastpage
    1408
  • Abstract
    In this paper, biomass estimations are compared using quadpol ALOS PALSAR, TerraSAR-X and LIDAR data over Glen Affric, Scotland. Biomass was retrieved from the ALOS PALSAR and TerraSAR-X data using Yamaguchi decomposition to obtain useful information about the scattering mechanisms. A regression equation is obtained from the establishment of a relationship between the ratio of volume and surface scattering mechanism and the biomass obtained from fieldwork. Since the study site is a mountainous region, the terrain slope effects need to be compensated before retrieving the biomass. For LIDAR, the vertical structure of both the underlying topography and the forest structure were generated to estimate the biomass allometrically. Validation on the results of the biomass estimation was done by comparing the biomass estimated using ALOS PALSAR, TerraSAR-X and LIDAR. The results suggest that in some areas the biomass retrievals are broadly comparable.
  • Keywords
    regression analysis; topography (Earth); vegetation mapping; Glen Affric; LIDAR data; Scotland; TerraSAR-X data; Yamaguchi decomposition; biomass estimations; biomass retrievals; forest structure; mountainous region; quadpol ALOS PALSAR data; regression equation; surface scattering mechanism; terrain slope effects; volume scattering mechanism; Biomass; Equations; Estimation; Laser radar; Remote sensing; Scattering; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049329
  • Filename
    6049329