Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts
Main objectives of this paper are to evaluate SeaWiFS, MODIS, and AVHRR satellite imagery performances against in situ data around two Northeast Atlantic seamounts, Sedlo and Seine. The temporal and spatial variability of satellite-derived near-surface chlorophyll a (Chl a) and sea surface temperatu...
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Online Access: | http://hdl.handle.net/10553/51635 https://doi.org/10.1117/1.3328872 |
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ftunivlaspalmas:oai:accedacris.ulpgc.es:10553/51635 2023-05-15T17:41:06+02:00 Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts Mendonça, Ana P. Martins, Ana M. Figueiredo, Miguel P. Bashmachnikov, Igor L. Couto, Andre Lafon, Virginie M. Aristegui, Javier Aristegui, Javier Bashmachnikov, Igor Belo Couto, Andre Martins, Ana Maria 24071446100 55952668500 8071783600 8295005100 53979636700 56422062600 7006816204 376411 2043805 25678862 1698951 7360280 5060429 227201 2010 http://hdl.handle.net/10553/51635 https://doi.org/10.1117/1.3328872 eng eng Journal of Applied Remote Sensing 1931-3195 http://hdl.handle.net/10553/51635 doi:10.1117/1.3328872 80055054526 000274267600002 043506 4 WOS:000274267600002 D-5833-2013 B-2879-2012 No ID Journal Of Applied Remote Sensing [ISSN 1931-3195], v. 4 Northeast Atlantic Seamounts Ocean color Sea surface temperature Temporal variability info:eu-repo/semantics/article Article 2010 ftunivlaspalmas https://doi.org/10.1117/1.3328872 2020-03-31T23:09:52Z Main objectives of this paper are to evaluate SeaWiFS, MODIS, and AVHRR satellite imagery performances against in situ data around two Northeast Atlantic seamounts, Sedlo and Seine. The temporal and spatial variability of satellite-derived near-surface chlorophyll a (Chl a) and sea surface temperature (SST) is also analysed. SeaWiFS tends to show good accuracy with the in situ data for Sedlo seamount, while for Seine it tends to slightly overestimate the values. Oppositely, MODIS tends to underestimate Chl a for both seamounts. Match-up SST analyses show that MODIS underestimates the in situ values on Seine seamount. The best correlation was attained with AVHRR on Sedlo. Seasonal variations are clearly pronounced on Sedlo with typical spring and autumn Chl a blooms, while further to the south, on Seine, less intense blooms are registered, as expected. Higher/lower SST values are observed during summer/winter respectively, showing clear seasonal patterns. A time lag of about one month for the maximum SST heating/cooling from Sedlo to Seine is noted. Article in Journal/Newspaper Northeast Atlantic Universidad de Las Palmas de Gran Canaria: Acceda Journal of Applied Remote Sensing 4 1 043506 |
institution |
Open Polar |
collection |
Universidad de Las Palmas de Gran Canaria: Acceda |
op_collection_id |
ftunivlaspalmas |
language |
English |
topic |
Northeast Atlantic Seamounts Ocean color Sea surface temperature Temporal variability |
spellingShingle |
Northeast Atlantic Seamounts Ocean color Sea surface temperature Temporal variability Mendonça, Ana P. Martins, Ana M. Figueiredo, Miguel P. Bashmachnikov, Igor L. Couto, Andre Lafon, Virginie M. Aristegui, Javier Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts |
topic_facet |
Northeast Atlantic Seamounts Ocean color Sea surface temperature Temporal variability |
description |
Main objectives of this paper are to evaluate SeaWiFS, MODIS, and AVHRR satellite imagery performances against in situ data around two Northeast Atlantic seamounts, Sedlo and Seine. The temporal and spatial variability of satellite-derived near-surface chlorophyll a (Chl a) and sea surface temperature (SST) is also analysed. SeaWiFS tends to show good accuracy with the in situ data for Sedlo seamount, while for Seine it tends to slightly overestimate the values. Oppositely, MODIS tends to underestimate Chl a for both seamounts. Match-up SST analyses show that MODIS underestimates the in situ values on Seine seamount. The best correlation was attained with AVHRR on Sedlo. Seasonal variations are clearly pronounced on Sedlo with typical spring and autumn Chl a blooms, while further to the south, on Seine, less intense blooms are registered, as expected. Higher/lower SST values are observed during summer/winter respectively, showing clear seasonal patterns. A time lag of about one month for the maximum SST heating/cooling from Sedlo to Seine is noted. |
author2 |
Aristegui, Javier Bashmachnikov, Igor Belo Couto, Andre Martins, Ana Maria 24071446100 55952668500 8071783600 8295005100 53979636700 56422062600 7006816204 376411 2043805 25678862 1698951 7360280 5060429 227201 |
format |
Article in Journal/Newspaper |
author |
Mendonça, Ana P. Martins, Ana M. Figueiredo, Miguel P. Bashmachnikov, Igor L. Couto, Andre Lafon, Virginie M. Aristegui, Javier |
author_facet |
Mendonça, Ana P. Martins, Ana M. Figueiredo, Miguel P. Bashmachnikov, Igor L. Couto, Andre Lafon, Virginie M. Aristegui, Javier |
author_sort |
Mendonça, Ana P. |
title |
Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts |
title_short |
Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts |
title_full |
Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts |
title_fullStr |
Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts |
title_full_unstemmed |
Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: A case study of temporal and spatial variability on two northeast Atlantic seamounts |
title_sort |
evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: a case study of temporal and spatial variability on two northeast atlantic seamounts |
publishDate |
2010 |
url |
http://hdl.handle.net/10553/51635 https://doi.org/10.1117/1.3328872 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Journal Of Applied Remote Sensing [ISSN 1931-3195], v. 4 |
op_relation |
Journal of Applied Remote Sensing 1931-3195 http://hdl.handle.net/10553/51635 doi:10.1117/1.3328872 80055054526 000274267600002 043506 4 WOS:000274267600002 D-5833-2013 B-2879-2012 No ID |
op_doi |
https://doi.org/10.1117/1.3328872 |
container_title |
Journal of Applied Remote Sensing |
container_volume |
4 |
container_issue |
1 |
container_start_page |
043506 |
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1766142336486604800 |