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Subpixel Snow-Covered-Area and Snow Grain Size From Mixture Analysis with AVIRIS DataSnow-covered-area (SCA) and snow grain size are crucial inputs to hydrologic and climatologic modeling of alpine and other seasonally snow-covered regions. SCA is necessary to parameterize energy budget calculations in climate models, to determine in which regions point snowmelt models are to be run for distributed snowmelt modeling efforts and to provide a basis from which estimates of snow water equivalent (SWE) may be made. Snow grain size, SWE and snow impurities determine the spectral albedo of snow, which controls the net solar flux at the snowpack surface. Snow albedo is of the utmost importance in snowmelt modeling, yet the difficulty with which grain size, SWE, and impurities are mapped has left the spatial distribution of snow albedo in alpine catchments poorly understood. The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) has been used to estimate sub-pixel snow-covered-area and snow grain size independently. In this paper we present a technique which improves estimates of both snow parameters by treating their mapping simultaneously.
Document ID
19980201648
Acquisition Source
Headquarters
Document Type
Conference Paper
Authors
Green Robert O.
(California Univ. Santa Barbara, CA United States)
Painter, Thomas H.
(California Univ. Santa Barbara, CA United States)
Roberts, Dar A.
(California Univ. Santa Barbara, CA United States)
Dozier, Jeff
(California Univ. Santa Barbara, CA United States)
Date Acquired
August 18, 2013
Publication Date
January 1, 1996
Publication Information
Publication: Summaries of the Sixth Annual JPL Airborne Earth Science Workshop
Volume: 1
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NAGw-2602
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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