• DocumentCode
    142711
  • Title

    Forest resources annual dynamic monitoring based on high resolution remote sensing data

  • Author

    Shi Jingjing ; Zhang Yuxing ; Xia Chaozong

  • Author_Institution
    Acad. of Forest Inventory & Planning, State Forestry Adm., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    749
  • Lastpage
    752
  • Abstract
    In order to trace and identify the achievements of forest resources protection and development in China, the system of forest resources monitoring was built up to annually collect the forest information base on high-resolution data. The measurement analysis of forest resource was done in the 41 key counties. High-resolution SPOT5 images, RapidEye and other high-resolution remote sensing data had been handled through processes of orthorectified, image synthesis, data integration, enhancement processing, basic geographic information overlay, framing and cutting, etc., forming thematic imaging products for technical studies. The results show that there were information superiority for high-resolution satellite data in zoning interpretation and identification of forest type.
  • Keywords
    data integration; remote sensing; vegetation mapping; China; RapidEye; basic geographic information cutting process; basic geographic information framing process; basic geographic information overlay process; data integration process; enhancement processing process; forest information; forest resource annual dynamic monitoring; forest resource development achievement; forest resource development identification; forest resource measurement analysis; forest resource monitoring system; forest resource protection achievement; forest resource protection identification; forest type identification; high-resolution SPOT5 image; high-resolution remote sensing data; high-resolution satellite data information superiority; image synthesis process; orthorectified process; thematic imaging product; zoning interpretation; Correlation; Dynamic scheduling; Forestry; Monitoring; Planning; Remote sensing; Satellites; Forest monitoring; High-resolution data;
  • 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.2014.6946532
  • Filename
    6946532