Algorithms for the remote sensing of the Baltic ecosystem (DESAMBEM). Part 2: Empirical validation
This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data and in details the mathematical apparatus of these algorithms were...
Saved in:
| Published in | Oceanologia Vol. 50; no. 4; pp. 509 - 538 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Institute of Oceanology of the Polish Academy of Sciences
01.01.2008
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0078-3234 |
Cover
| Abstract | This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data and in details the mathematical apparatus of these algorithms were presented. The effects of the practical application of the algorithms and their validation, the latter based on satellite maps of selected Baltic ecosystem parameters are presented (Part 2). These parameters are: the distributions of the sea surface temperature (SST), the Photosynthetically Available Radiation (PAR) at the sea surface, the surface concentrations of chlorophyll a and the total primary production of organic matter. Particular emphasis was laid on analysing the precision of estimates of these and other parameters of the Baltic ecosystem, determined by remote sensing methods. The errors in these estimates turned out to be relatively small; hence, the set of DESAMBEM algorithms should in the future be utilised as the foundation for the effective satellite monitoring of the state and functioning of the Baltic ecosystem. |
|---|---|
| AbstractList | This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the authors presented the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data (see Wozniak et al. 2008 - this issue). That article discussed in detail the mathematical apparatus of the algorithms. Part 2 presents the effects of the practical application of the algorithms and their validation, the latter based on satellite maps of selected Baltic ecosystem parameters: the distributions of the sea surface temperature (SST), the Photosynthetically Available Radiation (PAR) at the sea surface, the surface concentrations of chlorophyll a and the total primary production of organic matter. Particular emphasis was laid on analysing the precision of estimates of these and other parameters of the Baltic ecosystem, determined by remote sensing methods. The errors in these estimates turned out to be relatively small; hence, the set of DESAMBEM algorithms should in the future be utilised as the foundation for the effective satellite monitoring of the state and functioning of the Baltic ecosystem. This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for determining the major parameters of this ecosystem on the basis of satellite data and in details the mathematical apparatus of these algorithms were presented. The effects of the practical application of the algorithms and their validation, the latter based on satellite maps of selected Baltic ecosystem parameters are presented (Part 2). These parameters are: the distributions of the sea surface temperature (SST), the Photosynthetically Available Radiation (PAR) at the sea surface, the surface concentrations of chlorophyll a and the total primary production of organic matter. Particular emphasis was laid on analysing the precision of estimates of these and other parameters of the Baltic ecosystem, determined by remote sensing methods. The errors in these estimates turned out to be relatively small; hence, the set of DESAMBEM algorithms should in the future be utilised as the foundation for the effective satellite monitoring of the state and functioning of the Baltic ecosystem. This paper is the second of two articles on the methodology ofthe remote sensing of the Baltic ecosystem. In Part~1 the authorspresented the set of DESAMBEM algorithms for determining themajor parameters of this ecosystem on the basis of satellitedata (see Wo/xniak et al.~2008 -- this issue). That article discussedin detail the mathematical apparatus of the algorithms. Part2 presents the effects of the practical application of the algorithmsand their validation, the latter based on satellite maps of selectedBaltic ecosystem parameters: the distributions of the sea surfacetemperature, the Photosynthetically Available Radiation (PAR)at the sea surface, the surface concentrations of chlorophyll~{it a}and the total primary production of organic matter.~Particularemphasis was laid on analysing the precision of estimates ofthese and other parameters of the Baltic ecosystem, determinedby remote sensing methods. The errors in these estimates turnedout to be relatively small; hence, the set of DESAMBEM algorithmsshould in the future be utilised as the foundation for the effectivesatellite monitoring of the state and functioning of the Balticecosystem. |
| Author | Wozniak, S B Krezel, A Bradtke, K Dera, J Wozniak, B Darecki, M Ficek, D Ostrowska, M Majchrowski, R |
| Author_xml | – sequence: 1 givenname: M surname: Darecki fullname: Darecki, M – sequence: 2 givenname: D surname: Ficek fullname: Ficek, D – sequence: 3 givenname: A surname: Krezel fullname: Krezel, A – sequence: 4 givenname: M surname: Ostrowska fullname: Ostrowska, M – sequence: 5 givenname: R surname: Majchrowski fullname: Majchrowski, R – sequence: 6 givenname: S surname: Wozniak middlename: B fullname: Wozniak, S B – sequence: 7 givenname: K surname: Bradtke fullname: Bradtke, K – sequence: 8 givenname: J surname: Dera fullname: Dera, J – sequence: 9 givenname: B surname: Wozniak fullname: Wozniak, B |
| BookMark | eNqNjt9KwzAchXsxwW36DrkSvajkX5vUu21OHWwoqNfllybdMtJmJlHY21s2H8Bzc-Dw8XEm2aj3vRllY4yFzBll_DKbxLjHmDJGxDhTM7f1waZdF1HrA0o7g4LpfDIomj7afot8e1rn4JJtkGl8PMZkOnT7uHyfbebLzd09eoOQEH1Ay-5gg23AoR9wVkOyvr_KLlpw0Vz_9TT7fFp-LF7y9evzajFb55pKlnLgCpeU8FbhqiJYY82EAqxpIRVITFpSVYJAYUBBo4dUA1_QipZNaZQRbJqtzl7tYV8fgu0gHGsPtj4NPmzr4aVtnKlp2eJWUAqKS06LRkrBDddACFZVUajBdXN2HYL_-jYx1Z2NjXEOeuO_Y00xY5yW8h8gERKXnP0CAnh4Yw |
| ContentType | Journal Article |
| DBID | 7TN F1W H95 H96 L.G 7ST C1K SOI DOA |
| DatabaseName | Oceanic Abstracts ASFA: Aquatic Sciences and Fisheries Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Aquatic Science & Fisheries Abstracts (ASFA) Professional Environment Abstracts Environmental Sciences and Pollution Management Environment Abstracts DOAJ Directory of Open Access Journals |
| DatabaseTitle | Aquatic Science & Fisheries Abstracts (ASFA) Professional Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Oceanic Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources ASFA: Aquatic Sciences and Fisheries Abstracts Environment Abstracts Environmental Sciences and Pollution Management |
| DatabaseTitleList | Aquatic Science & Fisheries Abstracts (ASFA) Professional Aquatic Science & Fisheries Abstracts (ASFA) Professional |
| Database_xml | – sequence: 1 dbid: DOA name: [Open Access] DOAJ 오픈액세스 저널 디렉토리 url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Oceanography |
| EndPage | 538 |
| ExternalDocumentID | oai_doaj_org_article_26f0f722ab48425c8874e4da110b955b |
| GeographicLocations | ANE, Baltic Sea |
| GeographicLocations_xml | – name: ANE, Baltic Sea |
| GroupedDBID | 123 29N 2WC 7TN ACGFS AENEX ALMA_UNASSIGNED_HOLDINGS C1A E3Z F1W FDB GROUPED_DOAJ GWW H95 H96 IPNFZ IXB KQ8 L.G OK1 OVT P2P RIG RNS TR2 XSB Y2W ~02 7ST C1K SOI |
| ID | FETCH-LOGICAL-d283t-a4b06214fb09910d0d37ba0d258ba801f19971a5eabacdddd9b0652926c6ebe73 |
| IEDL.DBID | DOA |
| ISSN | 0078-3234 |
| IngestDate | Tue Oct 07 09:25:12 EDT 2025 Tue Oct 07 07:43:27 EDT 2025 Thu Jul 10 18:12:46 EDT 2025 |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-d283t-a4b06214fb09910d0d37ba0d258ba801f19971a5eabacdddd9b0652926c6ebe73 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://doaj.org/article/26f0f722ab48425c8874e4da110b955b |
| PQID | 20178064 |
| PQPubID | 23462 |
| PageCount | 30 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_26f0f722ab48425c8874e4da110b955b proquest_miscellaneous_20334268 proquest_miscellaneous_20178064 |
| PublicationCentury | 2000 |
| PublicationDate | 2008-01-01 |
| PublicationDateYYYYMMDD | 2008-01-01 |
| PublicationDate_xml | – month: 01 year: 2008 text: 2008-01-01 day: 01 |
| PublicationDecade | 2000 |
| PublicationTitle | Oceanologia |
| PublicationYear | 2008 |
| Publisher | Institute of Oceanology of the Polish Academy of Sciences |
| Publisher_xml | – name: Institute of Oceanology of the Polish Academy of Sciences |
| SSID | ssj0023317 |
| Score | 1.8903292 |
| Snippet | This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the set of DESAMBEM algorithms for... This paper is the second of two articles on the methodology of the remote sensing of the Baltic ecosystem. In Part 1 the authors presented the set of DESAMBEM... This paper is the second of two articles on the methodology ofthe remote sensing of the Baltic ecosystem. In Part~1 the authorspresented the set of DESAMBEM... |
| SourceID | doaj proquest |
| SourceType | Open Website Aggregation Database |
| StartPage | 509 |
| SubjectTerms | Brackish Chlorophyll algorithm Light-photosynthesis model Marine Marine ecosystem monitoring Ocean colour Primary production algorithm SeaWiFS Temperature algorithm |
| Title | Algorithms for the remote sensing of the Baltic ecosystem (DESAMBEM). Part 2: Empirical validation |
| URI | https://www.proquest.com/docview/20178064 https://www.proquest.com/docview/20334268 https://doaj.org/article/26f0f722ab48425c8874e4da110b955b |
| Volume | 50 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library issn: 0078-3234 databaseCode: KQ8 dateStart: 20000101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html omitProxy: true ssIdentifier: ssj0023317 providerName: Colorado Alliance of Research Libraries – providerCode: PRVAFT databaseName: Open Access Digital Library issn: 0078-3234 databaseCode: KQ8 dateStart: 19990101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html omitProxy: true ssIdentifier: ssj0023317 providerName: Colorado Alliance of Research Libraries – providerCode: PRVESC databaseName: Elsevier Free Content issn: 0078-3234 databaseCode: IXB dateStart: 0 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: true ssIdentifier: ssj0023317 providerName: Elsevier |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEA6yJxHEJ67PHDzooZomadp629Uuq7Aq6MLeSl5dF9x22cf_d9J0QRD0Yg89hEDbmUnmm8z0G4QuRWiYSLgNKLVFwLWxgYJAJDDSxLGWJhHG_eA8eBb9IX8aRaNvrb5cTZinB_aCu6WiIEVMqVTcZYw0LApuuZHgtlQaRcrtviRJ18FUE2oxFnq2TJf8p4w3jPw_Ntzai_R20HYD_3DHP3YXbdhyD229aCvLhjt6H6nO57iCmP1jusAAKTFANDy3IFKLF67cvBzjqqhHu9JxZ2CIID0hM756yN46g242uL7Br_BtmN7hbDqb1DwgGIxq4lsoHaBhL3u_7wdNK4TAgP9fBpIrImjICwWILiSGGBYrSQyNEiXByRSuXiSUkZVKagNXCvMjmlKhBagpZoeoVValPUIY_LkgPNZMA3oiqZRUG8ajItSwwFUs2qjrRJXPPNtF7vin6wHQSt5oJf9LK210sRZ0DvbqkhCytNVqkQPgiBPAQb_NYAxwQ3L8Hy9ygjZ9hYc7NDlFreV8Zc8ARizVeW0xcH8cdb8AIxbHxQ |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Algorithms+for+the+remote+sensing+of+the+Baltic+ecosystem+%28DESAMBEM%29.+Part+2%3A+Empirical+validation&rft.jtitle=Oceanologia&rft.au=Darecki%2C+M&rft.au=Ficek%2C+D&rft.au=Krezel%2C+A&rft.au=Ostrowska%2C+M&rft.date=2008-01-01&rft.issn=0078-3234&rft.volume=50&rft.issue=4&rft.spage=509&rft.epage=538&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0078-3234&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0078-3234&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0078-3234&client=summon |