• DocumentCode
    576505
  • Title

    Multi-scale remote sensing monitoring system facing forest resources supervision in China

  • Author

    Xia Chaozong ; Huang Guosheng ; Liu Xiyun

  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5955
  • Lastpage
    5958
  • Abstract
    Forest resources supervision is the important component of forest resources macro-management, and the nucleus of sustainable forest management, playing a crucial role in ensuring sustainable forest use, continuous green growth and mitigating climate change. Based on the current status of macro-forest resources supervision, multi-scale remote sensing is introduced to find out the efficient ways for better forest resources management and use control in this paper. With the methodology exploration and case application, the monitoring system is developed. The study results show that large-scale monitoring with coarse satellite images can provide the spatial priorities of national forest resources supervision, medium-scale monitoring with 10-30m resolution satellite images can identify the focal areas of forest resources supervision, and fine-scale monitoring with finer resolution images can provide the exact patch distribution of deforestation and forest quality obvious decline, and enhance the pertinence of annual forest resources supervision.
  • Keywords
    remote sensing; vegetation; China; climate change mitigation; coarse satellite images; continuous green growth; deforestation patch distribution; forest quality; forest resources macromanagement; macroforest resources supervision; multiscale remote sensing monitoring system; sustainable forest management; Forestry; Monitoring; Remote sensing; Satellites; Spatial resolution; Vegetation; Vegetation mapping; Forest resources supervision; forest monitoring & supervision; multi-scale RS data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352252
  • Filename
    6352252