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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Main Authors: Partington, Kim, Keller, Mary-Ruth, Seymour, Paul, Bertoia, Cheryl
Format: Text
Language:unknown
Published: DigitalCommons@University of Nebraska - Lincoln 1999
Subjects:
Online Access:https://digitalcommons.unl.edu/usdeptcommercepub/59
https://digitalcommons.unl.edu/context/usdeptcommercepub/article/1059/viewcontent/Bertoia_PIGRSS_1999_Data_fusion.pdf
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spelling 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
institution Open Polar
collection University of Nebraska-Lincoln: DigitalCommons@UNL
op_collection_id ftunivnebraskali
language unknown
topic Environmental Sciences
spellingShingle 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
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