• DocumentCode
    352763
  • Title

    Fusion of the L-band GRFM and C-band CAMP wide area Central Africa radar mosaics: a new data set with unprecedented potential for regional scale vegetation mapping

  • Author

    de Grandi, G.F. ; Mayaux, P. ; Simard, M. ; Saatchi, S.

  • Author_Institution
    Space Appl. Inst., Eur. Commission Res. Centre, Ispra, Italy
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    4
  • Abstract
    A new data set has been compiled by combining two wide area SAR mosaics over Central Africa: the L-band JERS-1 Africa mosaic, generated in the context of the NADSA Global Rain Forest Mapping project (GRFM); the C-band ESA ERS mosaic, developed by the JRC Central Africa Mosaic project (CAMP). The GRFM Africa mosaic was geolocated using a block adjustment algorithm which assures an internal geometric consistency at sub-pixel accuracy and an absolute geolocation residual mean squared error of 240 m with respect to ground control points. The projection used is a direct Mercator. The GRFM data set was therefore taken as the reference system and the C-band ERS layer composed by rectifying each ERS frame, after down sampling at 100 m pixel spacing, to the reference mosaic. Each mosaic consists of multiple features (amplitude and texture measures), and acquisitions at two dates; the resulting data set is therefore multi-temporal, multifeature, and multi-frequency. Clearly such a data set presents novel features, and an unprecedented potential for vegetation mapping at regional scale. As an indication, a test case is discussed related to the visual interpretation of the main vegetation types in the Congo river floodplain
  • Keywords
    geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; sensor fusion; spaceborne radar; synthetic aperture radar; vegetation mapping; C-band; CAMP; Congo; GRFM; JERS-1; L-band; SAR; SHF; UHF; central Africa; geophysical measurement technique; image processing; land surface; mosaic; radar imaging; radar remote sensing; regional scale; sensor fusion; spaceborne radar; synthetic aperture radar; vegetation mapping; wide area; Africa; Ecosystems; Error correction; L-band; Layout; Radar; Rain; Satellites; Space technology; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.860402
  • Filename
    860402