• DocumentCode
    340330
  • Title

    Comparative study for flood detection using JERS-1 SAR and Landsat TM data

  • Author

    Takeuchi, Shoji ; Konishi, Tomohisa ; Suga, Yuzo ; Kishi, Shinkichi

  • Author_Institution
    Hiroshima Inst. of Technol., Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    873
  • Abstract
    The authors verified the applicability of spaceborne SAR data for flood detection by the comparative study using JERS-1 SAR and Landsat TM data. For the purpose of verification of flood detection by SAR data, the inundated areas were extracted using the change of normalized difference vegetation index (NDVI) of Landsat TM data taken in almost same period as that for SAR data. Then the performance of SAR data for flood detection was investigated by comparing the extracted areas by both of SAR and TM data. The performance by SAR was evaluated by two indices, the coincidence rate of inundated areas by SAR for inundated areas extracted by TM (true production rate: TPR) and the rate of non-inundated areas by TM for inundated areas by SAR (false production rate: FPR). The result of the study verified the effectiveness of spaceborne SAR data for flood monitoring by remote sensing
  • Keywords
    hydrological techniques; remote sensing; remote sensing by radar; rivers; spaceborne radar; synthetic aperture radar; terrain mapping; JERS-1; Landsat TM; SAR; flood detection; flooding; hydrology; inundated areas; measurement technique; multispectral remote sensing; optical imaging; radar remote sensing; river flood; spaceborne radar; synthetic aperture radar; Backscatter; Data mining; Floods; Land surface; Optical sensors; Remote monitoring; Remote sensing; Satellites; Testing; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Conference_Location
    Hamburg
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.774470
  • Filename
    774470