• DocumentCode
    2103993
  • Title

    Comparison of methods for estimation of Kyoto Protocol products of forests from multitemporal Landsat

  • Author

    Goodenough, David G. ; Bhogal, A.S. ; Chen, Hao ; Dyk, Andrew

  • Author_Institution
    Pacific Forestry Centre, Natural Resources Canada, Canada
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    764
  • Abstract
    The Kyoto Protocol requires nations to report on their reforestation, afforestation, and deforestation (RAD). Using 1990 as a baseline, nations are also required to monitor changes in carbon stocks leading up to the reporting period 2008 to 2012. A study was conducted using three dates of boreal summer Landsat 5 imagery to estimate above-ground carbon for a forested test site near Hinton, Alberta. The carbon estimates were compared with those derived from Canada´s national forest inventory. The remote sensing estimates for areas that had not changed were consistent year to year within 3%. The experiment was repeated with the addition of leaf-on and leaf-off image pairs and Landsat-7 imagery. A comparison was made of the classification accuracies achieved for forest classes with single date and paired leaf-on and leaf-off image sets. Spatial properties were incorporated into the image analysis by first creating a multitemporal segmentation. This paper reports on the classification methods used, compares the classification accuracies achieved, and gives recommendations for the creation of Kyoto Protocol products for temperate forests derived from remotely sensed imagery
  • Keywords
    atmospheric composition; carbon; vegetation mapping; AD 2008 to 2012; Alberta; Canada; Hinton; Kyoto Protocol products; Landsat 5 imagery; Landsat-7 imagery; afforestation; carbon stocks; classification accuracies; classification methods; deforestation; forested test site; image analysis; leaf-off image; leaf-on image; multitemporal Landsat imagery; multitemporal segmentation; national forest inventory; reforestation; remote sensing; remotely sensed imagery; spatial properties; temperate forests; Computer science; Forestry; Image analysis; Image segmentation; Protocols; Read only memory; Remote monitoring; Remote sensing; Satellites; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.976629
  • Filename
    976629