Photogrammetric Engineering & Remote Sensing · 2004 · 67 citations · 14 references
Natural ResourcesEarth SciencesGeoinformaticsLandscape Change DetectionLandscape Pattern AnalysisRemote SensingLand Cover ClassificationLand Cover MappingLand UseLand Use Change DetectionPost-classification ComparisonRemote Sensing ImageryLand Use DataLand Use MappingSatellite Image ClassificationSignal-to-noise RatioSynthetic Image GenerationUrban Land Use ClassificationUrban Land Use MappingUrban-rural Fringe
In this study we tested whether AVIRIS data allowed for improved land use classification over synthetic Landsat ETM+ data for a location on the urban-rural fringe of Colorado. After processing the AVIRIS image and creating a synthetic Landsat image, we used standard classification and post-classification procedures to compare the data sources for land use mapping. We found that, for this location, AVIRIS holds modest, but real, advantages over Landsat for the classification of heterogeneous and vegetated land uses. Furthermore, this advantage comes almost entirely from the large number of sensor spectral bands rather than the high Signal-to-Noise Ratio (SNR).
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