• DocumentCode
    2858837
  • Title

    Estimating Land Use Change over Canadas Arctic/Sub-Arctic Region

  • Author

    Fraser, R.H. ; Olthof, G.G. ; Pavlic, G. ; Clouston, A. ; Pouliot, Darren ; Chen, Weijie

  • Author_Institution
    Canada Centre for Remote Sensing, Earth Sci. Sector, Ottawa, ON
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    2076
  • Lastpage
    2079
  • Abstract
    Estimates of land use change (LUC) and resulting greenhouse gas (GHG) fluxes in Canada´s North are needed for reporting to the United Nations Framework Convention on Climate Change. This paper presents a remote sensing based approach and results for estimating non-forest LUC over Canada´s Arctic/sub-Arctic zone. Spatial datasets portraying the occurrence of cultural features were used to identify high probability LUC areas within a 359 million ha northern study region. These targeted areas were analyzed using multi-temporal Landsat satellite imagery from circa 1985, 1990, and 2000. A Land Use Change Mapping System for Canada´s North (LUCMAP-N) was developed by combining several image normalization and change detection techniques recently devised at Natural Resources Canada´s Earth Sciences Sector (NRCan-ESS). It is estimated that the average rate of LUC during 1985-2000 over Canada´s Arctic/sub-Arctic region was 666 ha/yr.
  • Keywords
    atmospheric composition; geophysical signal processing; remote sensing; terrain mapping; AD 1985 to 2000; LUCMAP-N; Land Use Change Mapping System for Canada´s North; NRCan-ESS; Natural Resources Canada Earth Sciences Sector; United Nations Framework Convention on Climate Change; greenhouse gas flux; image normalization; land use change; multitemporal Landsat satellite imagery; remote sensing; sub-Arctic region; Arctic; Cities and towns; Cultural differences; Electronic switching systems; Geographic Information Systems; Geoscience; Layout; Remote monitoring; Remote sensing; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.537
  • Filename
    4241684