Journal of King Saud University - Science · 2021 · 32 citations · 18 references
Natural SciencesEarth SciencesGeologyRemote SensingSpectroscopic AnalysisSpectroscopyGeoarchaeological Remote SensingRemote Sensing Image AnalysisRemote Sensing ImageryImage SharpeningLithological CharacterizationLithological MappingMulti-spectral Image AnalysisMultispectral Image AnalysisMultispectral Imaging SensorsPrincipal ComponentsStudy Area Delineation
The upper plutonic rocks in southwestern Saudi Arabia has been mapped through Landsat 8 Operational Land Imager (OLI) data. The gathered field rock samples were subjected to spectral measurements (in the range of 0.4–2.5 µm) in the laboratory using a GER 3700 spectroradiometer. Integrated remote sensing techniques, including the band ratio, principal component analysis (PCA), and Gram-Schmidt spectral sharpening have been applied through this study. The red–greenblue composites of the pan-sharpened original bands (3, 4, and 7), principal components (PC3, PC1, and PC2), and band ratios 5/6 and 5/7 were found to be the most useful to delineate the study area’s Upper Proterozoic plutonic rocks. The results of image processing methods, spectral reflectance analyses are in good agreement with the field data. The spectral reflectance curves of the collected samples and the corresponding Landsat 8 pixels match well. It is indicated that Landsat-8 image data has great capability to identify lithological units and could be applicable in several areas in arid and semiarid environments.
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Spectral signatures of particulate minerals in the visible and near infrared
Graham R. Hunt · Geophysics · 1977 · 1.3K citations
Remote sensing for mineral exploration
Floyd F. Sabins · Ore Geology Reviews · 1999 · 894 citations