• DocumentCode
    143345
  • Title

    Comparison of optical and SAR data for forest cover mapping: REDD+ may be helped by SAR data

  • Author

    Le Toan, T. ; Mermoz, S. ; Fichet, L.V. ; Sannier, C. ; Bouvet, A.

  • Author_Institution
    CESBIO, Univ. of Paul Sabatier, Toulouse, France
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    2305
  • Lastpage
    2308
  • Abstract
    For Reduced Emissions from Deforestation and forest Degradation (REDD+) purposes, the standard method consists in using optical data to assess change in forest cover. However, SAR data are sensitive to forest above-ground biomass; thus an adequate SAR system, with long wavelength, could provide mapping of biomass and its change over time to be used for estimating carbon emissions. In this paper, the focus is on the comparison of forest cover maps derived from optical data and from SAR data in the Centre Province of Cameroon (about 84 000 km2), which contains humid tropical forests and woody savannas. The forest-non forest maps from optical and SAR data have comparable validation results. However, SAR-based methods are easy to implement, do not require extensive reference samples for calibration, and answer to the key question for carbon cycles studies which is how much biomass or carbon has been disturbed.
  • Keywords
    remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; Centre Province of Cameroon; REDD+; Reduced Emissions from Deforestation and forest Degradation; SAR data; adequate SAR system; biomass mapping; carbon emissions; forest cover mapping; humid tropical forests; optical data; woody savannas; Accuracy; Biomass; Biomedical optical imaging; Carbon dioxide; Optical sensors; Remote sensing; Synthetic aperture radar; Biomass; Forest/Non forest mapping; REDD+; Remote sensing;
  • 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.2014.6946931
  • Filename
    6946931