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Potential of Semi-automatic Object-based Land Cover Classifications using Very High Resolution Satellite Images: Tetuan-city Comparison Case StudyBy Omar Benarchid, Naoufal Raissouni
Abstract: Nowadays, mapping agencies need to update their topographic and information systems databases in order to draw: (i) urban planning (e.g., urban sprawl, road networks, etc.), and (ii) environmental planning (e.g., ecological corridors, forest change, etc.). In this context, object-based land cover classifications using very-high resolution satellites (VHRS) images (e.g., IKONOS, QuickBird, GeoEye WorldView-2, and recently Pléaides) are interesting tools to satisfy the needs of both scientific community and decision makers …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 19–29 Read article →