• DocumentCode
    2074097
  • Title

    Remote sensing methods in methodical procedure of qualitative assessment of the forest resources

  • Author

    Ibrahimova, S.R.

  • Author_Institution
    Inst. of Space Researches of Natural Resources, Azerbaijan Nat. Aerosp. Agency, Baku, Azerbaijan
  • fYear
    2005
  • fDate
    9-11 June 2005
  • Firstpage
    588
  • Lastpage
    592
  • Abstract
    At present an analysis of the processes on the Earth surface with the help of Earth remote sensing is becoming one of the most promising methods. Highly informative data, excellent spatial resolution, required intervals of imaging the area under survey are the available advantages of remote sensing materials. Principle limitations are related to integral and qualitative nature of information on the one hand, and the absence of systemized data on the state of the objects under study on the other hand. Therefore, the process of interpretation gives ambiguous results without a proper ground research. At the same time geoinformation technologies (GIS), which are widely used for describing natural systems provides for the creation of complete spatial-coordinated comprehensive data bases for various resources. GIS main advantage is a possibility of materials spatial analysis. Joint application of these technologies (remote sensing and GIS) gives an instrument for fast and effective solution of a class of missions related to qualitative assessments of natural ecosystem state changes caused by both man-induced and natural factors.
  • Keywords
    forestry; geographic information systems; vegetation mapping; GIS; forest resources; geoinformation technologies; methodical procedures; qualitative assessment; remote sensing methods; spatial resolution; Data visualization; Earth; Geographic Information Systems; High-resolution imaging; Image resolution; Photography; Remote sensing; Shape measurement; Spatial resolution; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies, 2005. RAST 2005. Proceedings of 2nd International Conference on
  • Print_ISBN
    0-7803-8977-8
  • Type

    conf

  • DOI
    10.1109/RAST.2005.1512636
  • Filename
    1512636