Recent advances in remote sensing of seasonal snow

Citeable URL: https://ir.library.oregonstate.edu/concern/articles/6d5702458

Descriptions

Attribute Name	Values
Creator	Nolin, Anne W.
Abstract	Remote sensing offers local, regional and global observations of seasonal snow, providing key information on snowpack processes. This brief review highlights advancements in instrumentation and analysis techniques that have been developed over the past decade. Areas of advancement include improved algorithms for mapping snow-cover extent, snow albedo, snow grain size, snow water equivalent, melt detection and snow depth, as well as new uses of instruments such as multiangular spectroradiometers, scatterometry and lidar. Limitations and synergies of the instruments and techniques are discussed, and remaining challenges such as multisensor mapping, scaling issues, vegetation correction and data assimilation are identified.
Resource Type	Article
DOI	https://doi.org/10.3189/002214311796406077
Date Available	2012-01-31T20:29:02+00:00
Date Issued	2010-12
Citation	Nolin, A. W. (2010, December). Recent advances in remote sensing of seasonal snow. Journal of Glaciology, 56(200), 1141-1150. doi:10.3189/002214311796406077
Journal Title	Journal of Glaciology
Journal Volume	56
Journal Issue/Number	200
Urheberrechts-Erklärung	In Copyright
Publisher	International Glaciological Society
Peer Reviewed	Yes
Language	English [eng]
Replaces	http://hdl.handle.net/1957/27381