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

G. de Grandi, P. Mayaux, Yrjö Rauste, Å Rosenqvist, M. Simard, S. Saatchi

    Research output: Contribution to journalArticleScientificpeer-review

    58 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)2218 - 2233
    Number of pages16
    JournalIEEE Transactions on Geoscience and Remote Sensing
    Volume38
    Issue number5
    DOIs
    Publication statusPublished - 2000
    MoE publication typeA1 Journal article-refereed

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    Rain
    Radar
    radar
    synthetic aperture radar
    Tropics
    vegetation mapping
    ground control
    Spacecraft
    Africa
    rain forest
    mosaic
    project
    JERS
    product
    Pixels
    pixel
    spacing
    spacecraft
    sensor
    Sensors

    Cite this

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    title = "The Global Rain Forest Mapping Project JERS-1 radar mosaic of tropical Africa: Development and product characterization aspects",
    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.",
    author = "Grandi, {G. de} and P. Mayaux and Yrj{\"o} Rauste and {\AA} Rosenqvist and M. Simard and S. Saatchi",
    year = "2000",
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    The Global Rain Forest Mapping Project JERS-1 radar mosaic of tropical Africa : Development and product characterization aspects. / Grandi, G. de; Mayaux, P.; Rauste, Yrjö; Rosenqvist, Å; Simard, M.; Saatchi, S.

    In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 5, 2000, p. 2218 - 2233.

    Research output: Contribution to journalArticleScientificpeer-review

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    T1 - The Global Rain Forest Mapping Project JERS-1 radar mosaic of tropical Africa

    T2 - Development and product characterization aspects

    AU - Grandi, G. de

    AU - Mayaux, P.

    AU - Rauste, Yrjö

    AU - Rosenqvist, Å

    AU - Simard, M.

    AU - Saatchi, S.

    PY - 2000

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    AB - 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.

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