Inversion technique for quantitative determination of snow grain size with imaging spectrometry

Anne W. Nolin; Jeff Dozier

doi:10.1117/12.157069

23 September 1993 Inversion technique for quantitative determination of snow grain size with imaging spectrometry

Anne W. Nolin, Jeff Dozier

Proceedings Volume 1937, Imaging Spectrometry of the Terrestrial Environment; (1993) https://doi.org/10.1117/12.157069
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Anne W. Nolin and Jeff Dozier "Inversion technique for quantitative determination of snow grain size with imaging spectrometry", Proc. SPIE 1937, Imaging Spectrometry of the Terrestrial Environment, (23 September 1993); https://doi.org/10.1117/12.157069

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