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    Land-cover classification in a moist tropical region of Brazil with Landsat Thematic Mapper imagery

    Journal Articles & Books
    December, 2011
    Brazil
    land cover

    This research aims to improve land-cover classification accuracy in a moist tropical region in Brazil by examining the use of different remote-sensing-derived variables and classification algorithms. Different scenarios based on Landsat Thematic Mapper (TM) spectral data and derived vegetation indices and textural images and different classification algorithms, maximum likelihood classification (MLC), artificial neural network (ANN), classification tree analysis (CTA) and object-based classification (OBC), were explored.

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