• DocumentCode
    1382382
  • Title

    The Global Rain Forest Mapping Project JERS-1 radar mosaic of tropical Africa: development and product characterization aspects

  • Author

    De Grandi, Gianfranco ; Mayaux, Philippe ; Rauste, Yrjo ; Rosenqvist, Ake ; Simard, Marc ; Saatchi, Sasan S.

  • Author_Institution
    Joint Res. Centre, Eur. Commission, Ispra, Italy
  • Volume
    38
  • Issue
    5
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    2218
  • Lastpage
    2233
  • Abstract
    The Global Rain Forest Mapping Project (GRFM) is an international collaborative effort initiated and managed by the National Space Development Agency of Japan (NASDA). The main goal of the project is to produce a high resolution wall-to-wall map of the entire tropical rain forest domain in four continents using the L-band SAR onboard the JERS-1 spacecraft. The processing phase, which entails the generation of wide area radar mosaics from the raw SAR data, was split according to the geographic area. In this paper, the focus is on the part related to Africa. The GRFM project´s goal calls for the coverage of a continental scale area of several million km2 using a sensor with the resolution of tens of meters. In the case of the African continent, this entails the assemblage of some 3900 high resolution SAR scenes into a bitemporal mosaic at 100 m pixel spacing and with known geometric accuracy. While this fact opens up an entire new perspective for vegetation mapping in the tropics, it presents a number of technical challenge. The authors report on the solutions adopted in the GRFM Africa mosaic development and discuss some quantitative and qualitative aspects related to the characterization and validation of the GRFM products. In particular, the mosaic geolocation and its validation are discussed in detail. Indeed, the internal geometric consistency (subpixel accuracy in the coregistration of the two dates), and the absolute geolocation (residual mean squared error of 240 m with respect to ground control points) are key features of the GRFM Africa mosaic
  • Keywords
    forestry; geophysical techniques; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; Global Rain Forest Mapping Project; JERS-1; L-band; NASDA; SAR; UHF; forestry; geolocation; geophysical measurement technique; image registration; location; product characterization; radar mosaic; radar remote sensing; spaceborne radar; tropical Africa; tropics; vegetation mapping; Africa; Assembly; Continents; International collaboration; L-band; Layout; Project management; Rain; Space vehicles; Synthetic aperture radar;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.868880
  • Filename
    868880