• DocumentCode
    3069534
  • Title

    Monitoring the dynamics of forest area in Anshan based on TM images

  • Author

    Di Liu ; Chunxiang Cao ; Min Xu ; Yuxing Zhang ; Guangren Ma

  • Author_Institution
    Inst. of Remote Sensing & Digital Earth, State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3833
  • Lastpage
    3836
  • Abstract
    Forest area as an important parameter of the forest resources, to obtain forest area timely access is very significant for the monitoring forest resources. Remote sensing technology, because of its characteristics of multi-temporal and large-scale, is widely used on the quick access to the forest information [1-2]. The study area in this paper is Anshan, and we will select the highest accuracy classification from supervised classification, unsupervised classification and object-oriented classification to extract the forest area of Anshan in 1995, 2000 and 2006. The results showed that: the forest area of Anshan in three periods (1995, 2000 and 2006) is: 4588km2, 4668km2 and 4698km2.
  • Keywords
    geophysical image processing; image classification; vegetation mapping; AD 1995; AD 2000; AD 2006; Anshan; China; TM images; forest area dynamics monitoring; forest information; object oriented classification; remote sensing; unsupervised classification; Accuracy; Cities and towns; Earth; Monitoring; Remote sensing; Rivers; Satellites; Forest area; TM image; classification method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723667
  • Filename
    6723667