Geobotanical characterization of a geothermal system using hyperspectral imagery: Long Valley Caldera, CA

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Description

We have analyzed hyperspectral Airborne Visible-Infrared Imaging System (AVIRIS) imagery taken in September of 1992 in Long Valley Caldera, CA, a geothermally active region expressed surficially by hot springs and fumaroles. Geological and vegetation mapping are attempted through spectral classification of imagery. Particular hot spring areas in the caldera are targeted for analysis. The data is analyzed for unique geobotanical patterns in the vicinity of hot springs as well as gross identification of dominant plant and mineral species. Spectra used for the classifications come from a vegetation spectral library created for plant species found to be associated with geothermal processes. ... continued below

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736 Kilobytes pages

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Carter, M R; Cochran, S A; Martini, B A; Pickles, W L; Potts, D C; Priest, R E et al. December 1, 1998.

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Description

We have analyzed hyperspectral Airborne Visible-Infrared Imaging System (AVIRIS) imagery taken in September of 1992 in Long Valley Caldera, CA, a geothermally active region expressed surficially by hot springs and fumaroles. Geological and vegetation mapping are attempted through spectral classification of imagery. Particular hot spring areas in the caldera are targeted for analysis. The data is analyzed for unique geobotanical patterns in the vicinity of hot springs as well as gross identification of dominant plant and mineral species. Spectra used for the classifications come from a vegetation spectral library created for plant species found to be associated with geothermal processes. This library takes into account the seasonality of vegetation by including spectra for species on a monthly basis. Geological spectra are taken from JPL and USGS mineral libraries. Preliminary classifications of hot spring areas indicate some success in mineral identification and less successful vegetation species identification. The small spatial extent of individual plants demands either sub-pixel analysis or increased spatial resolution of imagery. Future work will also include preliminary analysis of a hyperspectral thermal imagery dataset and a multitemporal air photo dataset. The combination of these remotely sensed datasets for Long Valley will yield a valuable product for geothermal exploration efforts in other regions.

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736 Kilobytes pages

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  • Other Information: PBD: 1 Dec 1998

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  • Report No.: UCRL-ID-133212
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/14288 | External Link
  • Office of Scientific & Technical Information Report Number: 14288
  • Archival Resource Key: ark:/67531/metadc619418

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  • December 1, 1998

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  • June 16, 2015, 7:43 a.m.

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  • May 6, 2016, 3:55 p.m.

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Carter, M R; Cochran, S A; Martini, B A; Pickles, W L; Potts, D C; Priest, R E et al. Geobotanical characterization of a geothermal system using hyperspectral imagery: Long Valley Caldera, CA, report, December 1, 1998; California. (digital.library.unt.edu/ark:/67531/metadc619418/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.