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  • 1
    Publication Date: 2019-07-13
    Description: Landsat digital enhancements and classification maps are shown to be useful for updating the urban expansion of standard metropolitan statistical areas on a macro scale. Automated procedures for detecting nonurban to urban land coverage change using multitemporal Landsat data are investigated for five metropolitan areas, showing an overall delineation similar to that obtained from large scale aerial photography. The evaluated change detection procedures include image differencing, principal component transformation prior to differencing, and post classification comparison. Results show that image differencing techniques in MSS band 5 provide the most accurate land cover change detections.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Rainbow 80; Fall Technical Meeting; Oct 07, 1980 - Oct 10, 1980; Niagara Falls, NY
    Format: text
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