• DocumentCode
    3492649
  • Title

    Integration of ERS 1/2 SAR data for updating land information systems

  • Author

    Hagemeister, A. ; Selige, T.

  • Author_Institution
    Inst. of Biomath. & Biometrics, GSF-Nat. Res. Centre for Environ. & Health, Neuherberg, Germany
  • Volume
    3
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    1553
  • Abstract
    The work is aimed to improve land use classification based on ERS-SAR. Classification results should be integrated into authority linked Land Information Systems (LIS). The present study is focused on the multiple effects of different ground truth parameters on ERS-SAR backscattering. Time series of the backscattering coefficient (BSC) for different crops will be analyzed. The influence of different regional climate, soil and plant growth conditions on the BSC are demonstrated by some examples. Therefore, a comprehensive GIS database is required to allow a statistical approach by correlating the multiple ground truth parameters with the radar signal. On that account a new adapted three-level ground truth methodology has been developed, using field GIS with an attached differential GPS
  • Keywords
    geographic information systems; geophysical techniques; remote sensing by radar; synthetic aperture radar; ERS-1; ERS-2; GIS; SAR; backscattering; crops; geographic information system; geophysical measurement technique; land information system; land use classification; measurement technique; radar remote sensing; terrain mapping; update method; updating; vegetation mapping; Backscatter; Biometrics; Crops; Databases; Geographic Information Systems; Information systems; Satellites; Soil measurements; Spaceborne radar; Surface morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.691592
  • Filename
    691592