Recent advances in remote sensing of seasonal snow Public Deposited

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  • 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.
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  • Nolin, A. W. (2010, December). Recent advances in remote sensing of seasonal snow. Journal of Glaciology, 56(200), 1141-1150. doi:10.3189/002214311796406077
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  • Vol. 56 no. 200
  • Journal of Glaciology
  • description.provenance : Submitted by Deanne Bruner (deanne.bruner@oregonstate.edu) on 2012-01-31T20:29:02Z No. of bitstreams: 1 NolinAnneCEOASRecentAdvancesRemote.pdf: 716029 bytes, checksum: 855bca7eec9f649d43bc7c496d1705a9 (MD5)
  • description.provenance : Made available in DSpace on 2012-01-31T20:29:02Z (GMT). No. of bitstreams: 1 NolinAnneCEOASRecentAdvancesRemote.pdf: 716029 bytes, checksum: 855bca7eec9f649d43bc7c496d1705a9 (MD5) Previous issue date: 2010-12

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