• DocumentCode
    3360584
  • Title

    Advances in the integration of ALOS PALSAR and Landsat sensor data for forest characterisation, mapping and monitoring

  • Author

    Lucas, R.M. ; Armston, J. ; Carreiras, J. ; Nugroho, N. ; Clewley, D. ; de Grandi, F.

  • Author_Institution
    Inst. of Geogr. & Earth Sci., Aberystwyth Univ., Aberystwyth, UK
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1851
  • Lastpage
    1854
  • Abstract
    Based on case studies undertaken in tropical forests in Brazil and Indonesia and subtropical woodlands in Australia, the paper highlights how data acquired by the Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band Synthetic Aperture Radar (SAR) and Landsat sensors can be integrated to better quantify the extent, biophysical characteristics and/or dynamics of undisturbed, degraded and regenerating forests. The benefits of using time-series of Landsat sensor data to support the interpretation of ALOS PALSAR data and to identify areas with greatest potential for ecosystem recovery are conveyed.
  • Keywords
    ecology; synthetic aperture radar; time series; vegetation mapping; ALOS PALSAR data; Advanced Land Observing Satellite; Australia; Brazil; Indonesia; Landsat sensor data; Phased Arrayed L-band Synthetic Aperture Radar; biophysical characteristics; ecosystem recovery; forest mapping; subtropical woodlands; time-series; tropical forests; Biomass; Biomedical optical imaging; Carbon; Earth; Optical sensors; Remote sensing; Satellites; forests; optical; radar; subtropics; tropics;
  • 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.2010.5653143
  • Filename
    5653143