Terrestrial Tephra Spectral Library for the Visible-Near-Infrared and Mid-Infrared Spectral Regions (ver. 1.1, April 2024)
Dates
Publication Date
2023-06-14
Time Period
2021-12-03
Revision
2024-04-01
Citation
Leight, CJ, McCanta, M.C., Glotch, T.D., Thomson, B.J., Ye, C., and Dyar, M.D., 2023, Terrestrial Tephra Spectral Library for the Visible-Near-Infrared and Mid-Infrared Spectral Regions (ver. 1.1, April 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9O54M4Q.
Summary
Visible/near-infrared (VNIR) and mid-infrared (MIR) spectral library composed of twenty natural tephra samples from ten volcanic sources that span a range of compositions and components. The bulk, glass, and mineral phase compositions of each sample have been measured and VNIR and MIR spectra from four size fractions of each sample were collected. The VNIR spectral library has been expanded (ed. 2) to twenty-two samples.
Summary
Visible/near-infrared (VNIR) and mid-infrared (MIR) spectral library composed of twenty natural tephra samples from ten volcanic sources that span a range of compositions and components. The bulk, glass, and mineral phase compositions of each sample have been measured and VNIR and MIR spectra from four size fractions of each sample were collected. The VNIR spectral library has been expanded (ed. 2) to twenty-two samples.
Click on title to download individual files attached to this item.
Tephra_Spectral_Metadata_v1_1.xml Original FGDC Metadata
View
26.31 KB
application/fgdc+xml
0623_VNIR_TephraLibrary.csv
1.78 MB
text/csv
0623_VNIR_TephraLibrary_Compdata.csv
30.44 KB
text/csv
Tephra_MIR_0721.csv
675.65 KB
text/csv
Tephra_MIR_Compdata_071521.csv
27 KB
text/csv
Tephra_version_history.txt
1.25 KB
text/plain
Related External Resources
Type: Related Primary Publication
C.J. Leight, Molly C. McCanta, Timothy D. Glotch, Bradley J. Thomson, Cheng Ye, M. Darby Dyar, Characterization of tephra deposits using VNIR and MIR spectroscopy: A comprehensive terrestrial tephra spectral library, Remote Sensing of Environment, Volume 273, 2022, 112965, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2022.112965.
