Data fusion for use of passive microwave data in operational sea-ice monitoring
A new SSM/I algorithm is described that is based on near real-time data fusion with portions of operational ice charts derived from RADARSAT, OLS or AVHRR data. The aim of this is to enable parts of the ice chart where there is no cloud-free imagery or SAR data to be completed using an SSM/I algorit...
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1999
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ftunivnebraskali:oai:digitalcommons.unl.edu:usdeptcommercepub-1059 2024-09-30T14:43:08+00:00 Data fusion for use of passive microwave data in operational sea-ice monitoring Partington, Kim Keller, Mary-Ruth Seymour, Paul Bertoia, Cheryl 1999-01-01T08:00:00Z application/pdf https://digitalcommons.unl.edu/usdeptcommercepub/59 https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1059/viewcontent/Bertoia_PIGRSS_1999_Data_fusion.pdf unknown DigitalCommons@University of Nebraska - Lincoln https://digitalcommons.unl.edu/usdeptcommercepub/59 https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1059/viewcontent/Bertoia_PIGRSS_1999_Data_fusion.pdf United States Department of Commerce: Staff Publications Environmental Sciences text 1999 ftunivnebraskali 2024-09-02T07:48:19Z A new SSM/I algorithm is described that is based on near real-time data fusion with portions of operational ice charts derived from RADARSAT, OLS or AVHRR data. The aim of this is to enable parts of the ice chart where there is no cloud-free imagery or SAR data to be completed using an SSM/I algorithm that is tuned to the region and time associated with the ice chart. The algorithm is a linear combination of partial concentrations from the NASA Team and Bootstrap algorithms together with lower variance principal components of SSM/I data. The algorithm is designed for near real time use in production of operational ice charts. Text Sea ice University of Nebraska-Lincoln: DigitalCommons@UNL |
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University of Nebraska-Lincoln: DigitalCommons@UNL |
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ftunivnebraskali |
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unknown |
topic |
Environmental Sciences |
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Environmental Sciences Partington, Kim Keller, Mary-Ruth Seymour, Paul Bertoia, Cheryl Data fusion for use of passive microwave data in operational sea-ice monitoring |
topic_facet |
Environmental Sciences |
description |
A new SSM/I algorithm is described that is based on near real-time data fusion with portions of operational ice charts derived from RADARSAT, OLS or AVHRR data. The aim of this is to enable parts of the ice chart where there is no cloud-free imagery or SAR data to be completed using an SSM/I algorithm that is tuned to the region and time associated with the ice chart. The algorithm is a linear combination of partial concentrations from the NASA Team and Bootstrap algorithms together with lower variance principal components of SSM/I data. The algorithm is designed for near real time use in production of operational ice charts. |
format |
Text |
author |
Partington, Kim Keller, Mary-Ruth Seymour, Paul Bertoia, Cheryl |
author_facet |
Partington, Kim Keller, Mary-Ruth Seymour, Paul Bertoia, Cheryl |
author_sort |
Partington, Kim |
title |
Data fusion for use of passive microwave data in operational sea-ice monitoring |
title_short |
Data fusion for use of passive microwave data in operational sea-ice monitoring |
title_full |
Data fusion for use of passive microwave data in operational sea-ice monitoring |
title_fullStr |
Data fusion for use of passive microwave data in operational sea-ice monitoring |
title_full_unstemmed |
Data fusion for use of passive microwave data in operational sea-ice monitoring |
title_sort |
data fusion for use of passive microwave data in operational sea-ice monitoring |
publisher |
DigitalCommons@University of Nebraska - Lincoln |
publishDate |
1999 |
url |
https://digitalcommons.unl.edu/usdeptcommercepub/59 https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1059/viewcontent/Bertoia_PIGRSS_1999_Data_fusion.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
United States Department of Commerce: Staff Publications |
op_relation |
https://digitalcommons.unl.edu/usdeptcommercepub/59 https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1059/viewcontent/Bertoia_PIGRSS_1999_Data_fusion.pdf |
_version_ |
1811645068572884992 |