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Proceedings Paper

Inversion technique for quantitative determination of snow grain size with imaging spectrometry
Author(s): Anne W. Nolin; Jeff Dozier
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Paper Abstract

An inversion technique for estimating snow grain size using imaging spectrometer data has been developed that appears to be accurate and insensitive to the effects of noise. Using a radiative transfer model, the method relates the area of an ice absorption feature centered at about (lambda) equals 1.03 micrometers to the equivalent ice particle size that produces the same absorption band area for a modeled reflectance spectrum. An Airborne Visible and Near-infrared Imaging Spectrometer (AVIRIS) image was used to create a map of snow surface layer grain size for the Mammoth Mountain, California region. When reflectance spectra were infused with up to 10 percent random, Gaussian noise, the band area mapping technique was able to accurately predict grain sizes.

Paper Details

Date Published: 23 September 1993
PDF: 9 pages
Proc. SPIE 1937, Imaging Spectrometry of the Terrestrial Environment, (23 September 1993); doi: 10.1117/12.157069
Show Author Affiliations
Anne W. Nolin, Univ. of California/Santa Barbara (United States)
Jeff Dozier, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 1937:
Imaging Spectrometry of the Terrestrial Environment
Gregg Vane, Editor(s)

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