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Record #112564:
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MARC recordRetrieving snow grain size from imaging spectrometer data / A.W. Nolin, Jeff Dozier.
| Title: | Retrieving snow grain size from imaging spectrometer data / A.W. Nolin, Jeff Dozier. |
| Author(s): | Nolin, A. W. Dozier, Jeff. |
| Date: | 1991. |
| In: | Eos : transactions, American Geophysical Union. (1991.), Vol. 72(44, supplement) (1991) |
| Abstract: | AGU Fall Meeting Program and Abstracts, December 9-13, 1991. Important application of remote sensing of snow is accurate determination of snow albedo as input to climate studies, and grain size is primary factor which determines spectrally integrated albedo of snow. Present study focuses on method for estimating grain size using high spectral resolution reflectance data, such as that obtained with Airborne Visible and Near-Infrared Imaging Spectrometer (AVIRIS). Discusses basis for and shows results of inversion technique for mapping snow grain size using AVIRIS data acquired over Sierra Nevada, CA. Describes model used and validation of technique. |
| Notes: | Eos : transactions, American Geophysical Union. Vol. 72(44, supplement) :189-190 (1991). |
| Keywords: | 551.578.46 -- Snow cover and snow patches. 551.578.461 -- Snow cover, methods of reporting and coding. 548.2 -- Ice, granular structure. Anisotropy. 551.321.7 -- Snow cover, measurement of properties. 53.087.23 -- Remote sensing. 551.32 -- Glaciology. E3 -- Glaciology: instruments and methods. (73) -- United States. (79) -- Pacific states. |
| SPRI record no.: | 112564 |
LDR 01775naa#a2200000#a#4500 001 SPRI-112564 005 20230330031910.0 007 ta 008 230330s1991####xx####|##|###|0||#0|eng#d 035 ## ‡aSPRI-112564 040 ## ‡aUkCU-P‡beng‡eaacr 100 1# ‡aNolin, A. W. 245 10 ‡aRetrieving snow grain size from imaging spectrometer data /‡cA.W. Nolin, Jeff Dozier. 260 ## ‡a[S.l.] :‡b[s.n.],‡c1991. 300 ## ‡ap. 189-190. 500 ## ‡aEos : transactions, American Geophysical Union. Vol. 72(44, supplement) :189-190 (1991). 520 3# ‡aAGU Fall Meeting Program and Abstracts, December 9-13, 1991. Important application of remote sensing of snow is accurate determination of snow albedo as input to climate studies, and grain size is primary factor which determines spectrally integrated albedo of snow. Present study focuses on method for estimating grain size using high spectral resolution reflectance data, such as that obtained with Airborne Visible and Near-Infrared Imaging Spectrometer (AVIRIS). Discusses basis for and shows results of inversion technique for mapping snow grain size using AVIRIS data acquired over Sierra Nevada, CA. Describes model used and validation of technique. 650 07 ‡a551.578.46 -- Snow cover and snow patches.‡2udc 650 07 ‡a551.578.461 -- Snow cover, methods of reporting and coding.‡2udc 650 07 ‡a548.2 -- Ice, granular structure. Anisotropy.‡2udc 650 07 ‡a551.321.7 -- Snow cover, measurement of properties.‡2udc 650 07 ‡a53.087.23 -- Remote sensing.‡2udc 650 07 ‡a551.32 -- Glaciology.‡2udc 650 07 ‡aE3 -- Glaciology: instruments and methods.‡2local 651 #7 ‡a(73) -- United States.‡2udc 651 #7 ‡a(79) -- Pacific states.‡2udc 700 1# ‡aDozier, Jeff. 773 0# ‡7nnas ‡tEos : transactions, American Geophysical Union. ‡gVol. 72(44, supplement) (1991) ‡wSPRI-1028 917 ## ‡aUnenhanced record from Muscat, imported 2019 948 3# ‡a20230330