Inferring sea ice characteristics from multi-sensor satellite data

Bibliographic Details
Main Authors: Nghiem, S. V., Neumann, G.
Language:English
Published: 2004
Subjects:
sea ice QuikSCAT seawinds AVHRR MODIS ENVISAT SSMI nested dynamic algorithm
Sea ice
Online Access:http://hdl.handle.net/2014/11247
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spelling ftnasajpl:oai:trs.jpl.nasa.gov:2014/11247 2023-05-15T18:16:08+02:00 Inferring sea ice characteristics from multi-sensor satellite data Nghiem, S. V. Neumann, G. 2004-09-20T19:50:20Z 1191219 bytes application/pdf http://hdl.handle.net/2014/11247 en_US eng International Geoscience and Remote Sensing Symposium Toulouse, France 02-3192 http://hdl.handle.net/2014/11247 sea ice QuikSCAT seawinds AVHRR MODIS ENVISAT SSMI nested dynamic algorithm 2004 ftnasajpl 2021-12-23T13:12:07Z Other/Unknown Material Sea ice JPL Technical Report Server
institution Open Polar
collection JPL Technical Report Server
op_collection_id ftnasajpl
language English
topic sea ice QuikSCAT seawinds AVHRR MODIS ENVISAT SSMI nested dynamic algorithm
spellingShingle sea ice QuikSCAT seawinds AVHRR MODIS ENVISAT SSMI nested dynamic algorithm
Nghiem, S. V.
Neumann, G.
Inferring sea ice characteristics from multi-sensor satellite data
topic_facet sea ice QuikSCAT seawinds AVHRR MODIS ENVISAT SSMI nested dynamic algorithm
author Nghiem, S. V.
Neumann, G.
author_facet Nghiem, S. V.
Neumann, G.
author_sort Nghiem, S. V.
title Inferring sea ice characteristics from multi-sensor satellite data
title_short Inferring sea ice characteristics from multi-sensor satellite data
title_full Inferring sea ice characteristics from multi-sensor satellite data
title_fullStr Inferring sea ice characteristics from multi-sensor satellite data
title_full_unstemmed Inferring sea ice characteristics from multi-sensor satellite data
title_sort inferring sea ice characteristics from multi-sensor satellite data
publishDate 2004
url http://hdl.handle.net/2014/11247
genre Sea ice
genre_facet Sea ice
op_relation International Geoscience and Remote Sensing Symposium
Toulouse, France
02-3192
http://hdl.handle.net/2014/11247
_version_ 1766189569674313728

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