Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea

Bibliographic Details
Published in:Remote Sensing of Environment
Main Authors: He, Shuo, Le, Chengfeng, He, Jianfeng, Liu, Na
Other Authors: National Natural Science Foundation of China, National Key Research and Development Program of China, Natural Science Foundation for Distinguished Young Scholars of Anhui Province
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2022
Subjects:
Computers in Earth Sciences
Geology
Soil Science
Barents Sea
Online Access:http://dx.doi.org/10.1016/j.rse.2021.112886
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spelling crelsevierbv:10.1016/j.rse.2021.112886 2024-05-19T07:38:06+00:00 Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea He, Shuo Le, Chengfeng He, Jianfeng Liu, Na National Natural Science Foundation of China National Key Research and Development Program of China Natural Science Foundation for Distinguished Young Scholars of Anhui Province 2022 http://dx.doi.org/10.1016/j.rse.2021.112886 https://api.elsevier.com/content/article/PII:S0034425721006064?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0034425721006064?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 Remote Sensing of Environment volume 270, page 112886 ISSN 0034-4257 Computers in Earth Sciences Geology Soil Science journal-article 2022 crelsevierbv https://doi.org/10.1016/j.rse.2021.112886 2024-04-22T07:00:31Z Article in Journal/Newspaper Barents Sea ScienceDirect (Elsevier) Remote Sensing of Environment 270 112886
institution Open Polar
collection ScienceDirect (Elsevier)
op_collection_id crelsevierbv
language English
topic Computers in Earth Sciences
Geology
Soil Science
spellingShingle Computers in Earth Sciences
Geology
Soil Science
He, Shuo
Le, Chengfeng
He, Jianfeng
Liu, Na
Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea
topic_facet Computers in Earth Sciences
Geology
Soil Science
author2 National Natural Science Foundation of China
National Key Research and Development Program of China
Natural Science Foundation for Distinguished Young Scholars of Anhui Province
format Article in Journal/Newspaper
author He, Shuo
Le, Chengfeng
He, Jianfeng
Liu, Na
author_facet He, Shuo
Le, Chengfeng
He, Jianfeng
Liu, Na
author_sort He, Shuo
title Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea
title_short Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea
title_full Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea
title_fullStr Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea
title_full_unstemmed Empirical algorithm for detecting coccolithophore blooms through satellite observation in the Barents Sea
title_sort empirical algorithm for detecting coccolithophore blooms through satellite observation in the barents sea
publisher Elsevier BV
publishDate 2022
url http://dx.doi.org/10.1016/j.rse.2021.112886
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genre Barents Sea
genre_facet Barents Sea
op_source Remote Sensing of Environment
volume 270, page 112886
ISSN 0034-4257
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
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op_doi https://doi.org/10.1016/j.rse.2021.112886
container_title Remote Sensing of Environment
container_volume 270
container_start_page 112886
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