• DocumentCode
    67009
  • Title

    Combining Landsat TM/ETM+ and ALOS AVNIR-2 Satellite Data for Tropical Forest Cover Change Detection

  • Author

    Vollmar, M. ; Rasi, Rastislav ; Beuchle, Rene ; Simonetti, D. ; Stibig, H.-J. ; Achard, Frederic

  • Author_Institution
    Inst. for Environ. & Sustainability, Joint Res. Centre of the Eur. Comm., Ispra, Italy
  • Volume
    6
  • Issue
    1
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    102
  • Lastpage
    109
  • Abstract
    The European Commission funded Tropical Ecosystem Environment Observation by Satellite (TREES) project aims to assess the forest cover and its changes within the pan- tropical belt. Statistics for the monitoring target periods 1990, 2000 and 2010 are derived from analyzing a systematic sample set of satellite imagery mainly from the Landsat TM and ETM+ sensors. To reach full coverage of all sample sites for the year 2010 epoch and to ensure data continuity for possible future epochs the usage of alternative satellite data is inevitable. In this study the replacement of Landsat data with ALOS AVNIR-2 data was tested. Adaptations of the existing processing chain are presented as well as the results of an accuracy assessment. The results show that AVNIR-2 data are generally suitable to substitute Landsat data in this context.
  • Keywords
    artificial satellites; forestry; vegetation mapping; AD 1990 to 2010; ALOS AVNIR-2 satellite data; European Commission; Landsat ETM+ sensor; Landsat TM sensor; Landsat TM/ETM+; Landsat data; TREES Satellite project; Tropical Ecosystem Environment Observation; tropical forest cover change detection; Accuracy; Asia; Earth; Remote sensing; Satellites; Standards; Vegetation; ALOS-AVNIR2; Landsat; forest monitoring; image classification; object-based change detection; remote sensing; tropics;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2013.2241017
  • Filename
    6469181