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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3QR82JS
Repositóriosid.inpe.br/mtc-m21c/2018/04.02.12.49   (acesso restrito)
Última Atualização2018:04.02.12.49.08 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/04.02.12.49.08
Última Atualização dos Metadados2020:12.07.21.11.19 (UTC) administrator
DOI10.1002/lno.10674
ISSN0024-3590
Chave de CitaçãoSpyrakosOHMSSNBBBBDGGKLMMMORSTZT:2018:OpTyIn
TítuloOptical types of inland and coastal waters
Ano2018
MêsMar.
Data de Acesso08 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1982 KiB
2. Contextualização
Autor 1 Spyrakos, Evangelos
 2 O’Donnell, Ruth
 3 Hunter, Peter D.
 4 Miller, Claire
 5 Scott, Marian
 6 Simis, Stefan G. H.
 7 Neil, Claire
 8 Barbosa, Cláudio Clemente Faria
 9 Binding, Caren E.
10 Bradt, Shane
11 Bresciani, Mariano
12 Dall’Olmo, Giorgio
13 Giardino, Claudia
14 Gitelson, Anatoly A.
15 Kutser, Tiit
16 Li, Lin
17 Matsushita, Bunkei
18 Martinez-Vicente, Victor
19 Matthews, Mark W.
20 Ogashawara, Igor
21 Ruiz-Verdu, Antonio
22 Schalles, John F.
23 Tebbs, Emma
24 Zhang, Yunlin
25 Tyler, Andrew N.
Identificador de Curriculo 1
 2
 3
 4
 5
 6
 7
 8 8JMKD3MGP5W/3C9JGSB
ORCID 1 0000-0001-7970-5211
Grupo 1
 2
 3
 4
 5
 6
 7
 8 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Afiliação 1 University of Stirling
 2 University of Glasgow
 3 University of Stirling
 4 University of Glasgow
 5 University of Glasgow
 6 Plymouth Marine Laboratory
 7 University of Stirling
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 Environment and Climate Change Canada
10 University of New Hampshire
11 Institute for Electromagnetic Sensing of the Environment
12 Plymouth Marine Laboratory
13 Institute for Electromagnetic Sensing of the Environment
14 Israel Institute of Technology
15 University of Tartu
16 Indiana University-Purdue University at Indianapolis
17 University of Tsukuba
18 Plymouth Marine Laboratory
19 CyanoLakes (Pty) Ltd
20 Indiana University-Purdue University at Indianapolis
21 Universitat de València Catedratico José Beltran
22 Creighton University
23 King’s College London
24 Chinese Academy of Sciences
25 University of Stirling
Endereço de e-Mail do Autor 1
 2
 3
 4
 5
 6
 7
 8 claudio.barbosa@inpe.br
RevistaLimnology and Oceanography
Volume63
Número2
Páginas846-870
Nota SecundáriaA1_ENGENHARIAS_III A1_BIODIVERSIDADE A2_QUÍMICA A2_ENGENHARIAS_I A2_CIÊNCIAS_BIOLÓGICAS_I B1_CIÊNCIAS_BIOLÓGICAS_III B2_EDUCAÇÃO_FÍSICA
Histórico (UTC)2018-04-02 12:49:08 :: simone -> administrator ::
2018-04-02 12:49:08 :: administrator -> simone :: 2018
2018-04-02 12:54:28 :: simone -> administrator :: 2018
2019-01-04 16:57:03 :: administrator -> simone :: 2018
2019-01-07 10:40:54 :: simone -> administrator :: 2018
2020-12-07 21:11:19 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoInland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding of their functions, the drivers impacting on these functions and to deliver more effective management. The ability to observe waterbodies from space has led to Earth observation (EO) becoming established as an important source of information on water quality and ecosystem condition. However, progress toward a globally valid EO approach is still largely hampered by inconsistences over temporally and spatially variable in-water optical conditions. In this study, a comprehensive dataset from more than 250 aquatic systems, representing a wide range of conditions, was analyzed in order to develop a typology of optical water types (OWTs) for inland and coastal waters. We introduce a novel approach for clustering in situ hyperspectral water reflectance measurements (n = 4045) from multiple sources based on a functional data analysis. The resulting classification algorithm identified 13 spectrally distinct clusters of measurements in inland waters, and a further nine clusters from the marine environment. The distinction and characterization of OWTs was supported by the availability of a wide range of coincident data on biogeochemical and inherent optical properties from inland waters. Phylogenetic trees based on the shapes of cluster means were constructed to identify similarities among the derived clusters with respect to spectral diversity. This typification provides a valuable framework for a globally applicable EO scheme and the design of future EO missions.
ÁreaSRE
ArranjoOptical types of...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 02/04/2018 09:49 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvospyrakos_optical.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.09.15.05 5
sid.inpe.br/mtc-m21/2012/07.13.14.43.57 2
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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