• DocumentCode
    2670524
  • Title

    Change detection using spatial data problems and challenges

  • Author

    Törmä, Markus ; Härmä, Pekka ; Järvenpää, Elise

  • Author_Institution
    Finnish Environ. Inst. SYKE, Helsinki
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    1947
  • Lastpage
    1950
  • Abstract
    This article describes the SYKE´s approach to change detection using high and medium resolution satellite images and present experiences concerning change detection. If it is possible, information about the land use is acquired using digital map data. The main problems with satellite images have been the availability of cloud-free Landsat images and atmospheric correction of images. The lack of historical ground truth information makes the classification of old images and the validation of result difficult. The size of reliably detectable change in the case of forest clear cuts seems to be 5 pixels. The most important characteristics of map data are metadata and accuracy assessment.
  • Keywords
    forestry; geophysical signal processing; image classification; remote sensing; vegetation mapping; visual databases; SYKE; atmospheric correction; change detection; cloud-free Landsat images; digital map data; forest clearing; high resolution satellite images; historical ground truth information; image classification; land use; medium resolution satellite images; spatial data; Geometry; Image resolution; Instruments; MODIS; Radiometry; Remote sensing; Satellites; Soil moisture; Spatial resolution; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423208
  • Filename
    4423208