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Snowcover mapping by machine processing of Skylab and LANDSAT MSS dataSkylab and LANDSAT MSS data were analyzed using computer-aided analysis techniques (CAAT). Results indicated that the middle infrared wavelength bands of the Skylab S-192 scanner would allow effective discrimination between snowcover and water-droplet clouds, whereas the limited spectral response of the LANDSAT-1 or 2 scanners do not allow such spectral discrimination. Five spectral classes of snowcover were defined and mapped. These classes were found to be related to differences in the proportion of snow and forest cover in the individual resolution elements.
Document ID
19760009494
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Bartolucci, L. A. (Purdue Univ. West Lafayette, IN, United States)
Hoffer, R. M. (Purdue Univ. West Lafayette, IN, United States)
Luther, S. G. (Purdue Univ. West Lafayette, IN, United States)
Date Acquired
August 8, 2013
Publication Date
January 1, 1975
Publication Information
Publication: NASA. Goddard Space Flight Center Operational Appl. of Satellite Snowcover Observations
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
PAPER-21
Accession Number
76N16582
Funding Number(s)
CONTRACT_GRANT: NAS9-13380
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

Related Records

IDRelationTitle19760009473Collected WorksOperational Applications of Satellite Snowcover Observations
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