Assessment of the capabilities of multi-temporal ERS-1 SAR data to discriminate between agricultural crops

C.G.J. Schotten, W.W.L. van Rooy, L.L.F. Jansen

    Research output: Contribution to journalArticleAcademicpeer-review

    58 Citations (Scopus)

    Abstract

    The capability of ERS-1 SAR precision data to discriminate between crop types for land cover inventory purposes at the earliest stage in the growing season was assessed using a field-based classification. The objectives were tested for an agriculturalregion in the Netherlands, where twelve crop types are found. Fourteen ERS-1 SAR images were available for this area, covering the 1992 growing season (May to November). The field-based classification yielded an overall classification accuracy of 80% with the optimal data set. The stage at which the crop types could be assessed depended on the crop. Cereals could be discriminated in May, potatoes and rape-seed in May and June.
    Original languageEnglish
    Pages (from-to)2619-2637
    JournalInternational Journal of Remote Sensing
    Volume16
    Issue number14
    DOIs
    Publication statusPublished - 1995

    Fingerprint

    synthetic aperture radar
    crop
    growing season
    potato
    cereal
    land cover
    seed
    ERS

    Keywords

    • applications
    • arable farming
    • equipment
    • field crops
    • imagery
    • land use
    • photointerpretation
    • physical planning
    • remote sensing
    • zoning

    Cite this

    Schotten, C.G.J. ; van Rooy, W.W.L. ; Jansen, L.L.F. / Assessment of the capabilities of multi-temporal ERS-1 SAR data to discriminate between agricultural crops. In: International Journal of Remote Sensing. 1995 ; Vol. 16, No. 14. pp. 2619-2637.
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    abstract = "The capability of ERS-1 SAR precision data to discriminate between crop types for land cover inventory purposes at the earliest stage in the growing season was assessed using a field-based classification. The objectives were tested for an agriculturalregion in the Netherlands, where twelve crop types are found. Fourteen ERS-1 SAR images were available for this area, covering the 1992 growing season (May to November). The field-based classification yielded an overall classification accuracy of 80{\%} with the optimal data set. The stage at which the crop types could be assessed depended on the crop. Cereals could be discriminated in May, potatoes and rape-seed in May and June.",
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    author = "C.G.J. Schotten and {van Rooy}, W.W.L. and L.L.F. Jansen",
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    Assessment of the capabilities of multi-temporal ERS-1 SAR data to discriminate between agricultural crops. / Schotten, C.G.J.; van Rooy, W.W.L.; Jansen, L.L.F.

    In: International Journal of Remote Sensing, Vol. 16, No. 14, 1995, p. 2619-2637.

    Research output: Contribution to journalArticleAcademicpeer-review

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