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- W2003669347 abstract "Abstract Recent advances in remote sensing application have provided useful information in mineral exploration, especially when remotely sensed data of high spectral resolution are used in alteration mapping. However, researchers have been beset with the problems caused by the effect of vegetation during the analysis of spectral signatures. In this study, the Logarithmic Residual and the Least Upper Bound Residual were applied to aircraft data, and the Directed Principal Component Analysis to LANDSAT TM data to nullify the effect of vegetation on the spectra. The results of integrated analysis of the data from aircraft, satellite and ground reflectance measurements provided successful delineation of the surface alteration in spite of interference from the effect of vegetation. These technique have proven to be an effective means of identifying alteration minerals which are important for mineral exploration." @default.
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- W2003669347 date "1993-12-01" @default.
- W2003669347 modified "2023-09-23" @default.
- W2003669347 title "Removal of the vegetation effect from LANDSAT TM and GER imaging spectroradiometer data" @default.
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- W2003669347 doi "https://doi.org/10.1016/0924-2716(93)90052-o" @default.
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