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Remote sensing of snow and iceThis paper reviews remote sensing of snow and ice, techniques for improved monitoring, and incorporation of the new data into forecasting and management systems. The snowcover interpretation of visible and infrared data from satellites, automated digital methods, radiative transfer modeling to calculate the solar reflectance of snow, and models using snowcover input data and elevation zones for calculating snowmelt are discussed. The use of visible and near infrared techniques for inferring snow properties, microwave monitoring of snowpack characteristics, use of Landsat images for collecting glacier data, monitoring of river ice with visible imagery from NOAA satellites, use of sequential imagery for tracking ice flow movement, and microwave studies of sea ice are described. Applications of snow and ice research to commercial use are examined, and it is concluded that a major problem to be solved is characterization of snow and ice in nature, since assigning of the correct properties to a real system to be modeled has been difficult.
Document ID
19790069568
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Rango, A.
(NASA Goddard Space Flight Center Greenbelt, Md., United States)
Date Acquired
August 9, 2013
Publication Date
September 1, 1979
Subject Category
Earth Resources And Remote Sensing
Accession Number
79A53581
Distribution Limits
Public
Copyright
Other

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