Research is being conducted into the usefulness of hyperspectral data for geologic mapping applications. Hyperspectral data provides a means of identifying surface mineralogy, which indicates lithology. The data analyzed for this work were collected by the HYDICE (VIS-SWIR) and SEBASS (LWIR) airborne imaging spectrometers. Airborne spectrometers can deliver 1-meter spatial resolution, which allows for detailed geologic maps to be created. However, the first operational satellite-based hyperspectral systems will not deliver this level of detail. Data sets of 5, 10, 20, and 30 meters were simulated by degrading the 1-meter airborne data by block averaging of pixels. Presented will be a comparison of the effects of these lower resolutions on endmember identification and resultant geologic mapping. The hyperspectral-derived maps are directly compared to the best available ground-based geologic maps as a means of understanding how spatial resolution translates into map scale. In general, the results indicate that while spatial detail is rapidly lost as resolution degrades, spectral detail tends to be retained, which allows for accurate moderate-scale mapping.
Research is being conducted into the usefulness of hyperspectral data for detailed geologic mapping applications. The data being analyzed were collected by the HYDICE (VIS-SWIR) and SEBASS (LWIR) airborne imaging spectrometers. Hyperspectral data provides a means of identifying surface minerology, which indicates lithology. In addition, because the data are collected in image format, photo-geologic observations can be made, such as the presence and orientation of stratification and faulting. The results of hyperspectral-based geologic mapping are summarized for an area of volcanic and sedimentary rocks in southwest Nevada. Analysis of the data revealed 11 mineral endmembers representing eight lithologic units. The hyperspectral-derived maps were directly compared to the best ground-based geologic maps available. Results indicate the ability to produce general geologic maps at scales better than 1:24,000 using 1-meter resolution airborne spectroscopy. Also, a more thorough mapping was achieved because of the increased compositional information gained by using both eht SWIR and LWIR.
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