A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer
A Neural Network approach to classify Sentinel-3 sea and land surface temperature radiometer (SLSTR) pixels over polar regions is presented. The proposed approach is based on a careful preliminary analysis aimed to simulate SLSTR observation by means of MODIS data. The latter have been considered be...
Published in: | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
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Institute of Electrical and Electronics Engineers Inc.
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Online Access: | http://hdl.handle.net/2108/216365 https://doi.org/10.1109/IGARSS.2018.8517857 https://ieeexplore.ieee.org/document/8517857 |
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ftunivromatorver:oai:art.torvergata.it:2108/216365 2024-02-27T08:45:23+00:00 A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer Picchiani M. Del Frate F. Sist M. Picchiani, M Del Frate, F Sist, M 2018 http://hdl.handle.net/2108/216365 https://doi.org/10.1109/IGARSS.2018.8517857 https://ieeexplore.ieee.org/document/8517857 eng eng Institute of Electrical and Electronics Engineers Inc. info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-7150-4 info:eu-repo/semantics/altIdentifier/wos/WOS:000451039803016 ispartofbook:International Geoscience and Remote Sensing Symposium (IGARSS) 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 volume:2018- firstpage:3015 lastpage:3018 numberofpages:4 http://hdl.handle.net/2108/216365 doi:10.1109/IGARSS.2018.8517857 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85063159658 https://ieeexplore.ieee.org/document/8517857 Cloud detection Neural Network Sentinel-3 Settore ING-INF/02 - CAMPI ELETTROMAGNETICI info:eu-repo/semantics/conferenceObject 2018 ftunivromatorver https://doi.org/10.1109/IGARSS.2018.8517857 2024-01-31T00:18:40Z A Neural Network approach to classify Sentinel-3 sea and land surface temperature radiometer (SLSTR) pixels over polar regions is presented. The proposed approach is based on a careful preliminary analysis aimed to simulate SLSTR observation by means of MODIS data. The latter have been considered because of the long available time series and the quality of cloud mask products. A large set of MODIS AQUA and TERRA products has been applied to develop the training set of the Neural Network classificator that has been tuned to discriminate clear ocean, clouds and sea-ice surfaces on the scene. Conference Object Sea ice Universitá degli Studi di Roma "Tor Vergata": ART - Archivio Istituzionale della Ricerca IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 3015 3018 |
institution |
Open Polar |
collection |
Universitá degli Studi di Roma "Tor Vergata": ART - Archivio Istituzionale della Ricerca |
op_collection_id |
ftunivromatorver |
language |
English |
topic |
Cloud detection Neural Network Sentinel-3 Settore ING-INF/02 - CAMPI ELETTROMAGNETICI |
spellingShingle |
Cloud detection Neural Network Sentinel-3 Settore ING-INF/02 - CAMPI ELETTROMAGNETICI Picchiani M. Del Frate F. Sist M. A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer |
topic_facet |
Cloud detection Neural Network Sentinel-3 Settore ING-INF/02 - CAMPI ELETTROMAGNETICI |
description |
A Neural Network approach to classify Sentinel-3 sea and land surface temperature radiometer (SLSTR) pixels over polar regions is presented. The proposed approach is based on a careful preliminary analysis aimed to simulate SLSTR observation by means of MODIS data. The latter have been considered because of the long available time series and the quality of cloud mask products. A large set of MODIS AQUA and TERRA products has been applied to develop the training set of the Neural Network classificator that has been tuned to discriminate clear ocean, clouds and sea-ice surfaces on the scene. |
author2 |
Picchiani, M Del Frate, F Sist, M |
format |
Conference Object |
author |
Picchiani M. Del Frate F. Sist M. |
author_facet |
Picchiani M. Del Frate F. Sist M. |
author_sort |
Picchiani M. |
title |
A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer |
title_short |
A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer |
title_full |
A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer |
title_fullStr |
A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer |
title_full_unstemmed |
A neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer |
title_sort |
neural network sea-ice cloud classification algorithm for copernicus sentinel-3 sea and land surface temperature radiometer |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2018 |
url |
http://hdl.handle.net/2108/216365 https://doi.org/10.1109/IGARSS.2018.8517857 https://ieeexplore.ieee.org/document/8517857 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-7150-4 info:eu-repo/semantics/altIdentifier/wos/WOS:000451039803016 ispartofbook:International Geoscience and Remote Sensing Symposium (IGARSS) 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 volume:2018- firstpage:3015 lastpage:3018 numberofpages:4 http://hdl.handle.net/2108/216365 doi:10.1109/IGARSS.2018.8517857 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85063159658 https://ieeexplore.ieee.org/document/8517857 |
op_doi |
https://doi.org/10.1109/IGARSS.2018.8517857 |
container_title |
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
3015 |
op_container_end_page |
3018 |
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1792054546936102912 |