| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34T/48P6232 | |||
| Repositório | sid.inpe.br/mtc-m21d/2023/03.21.14.24 | |||
| Última Atualização | 2023:03.21.14.24.49 (UTC) simone | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/03.21.14.24.49 | |||
| Última Atualização dos Metadados | 2024:04.17.08.12.04 (UTC) administrator | |||
| DOI | 10.3390/rs15051299 | |||
| ISSN | 2072-4292 | |||
| Chave de Citação | LimaGiBrBaFaPeBe:2023:CoSeMa | |||
| Título | Assessment of estimated phycocyanin and chlorophyll-a concentration from PRISMA and OLCI in Brazilian inland waters: a comparison between semi-analytical and machine learning algorithms  | |||
| Ano | 2023 | |||
| Mês | Mar. | |||
| Data de Acesso | 21 maio 2024 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 4936 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Lima, Thainara Munhoz Alexandre de 2 Giardino, Claudia 3 Bresciani, Mariano 4 Barbosa, Cláudio Clemente Faria 5 Fabbretto, Alice 6 Pellegrino, Andrea 7 Begliomini, Felipe Nincao | |||
| Identificador de Curriculo | 1 2 3 4 8JMKD3MGP5W/3C9JGSB | |||
| ORCID | 1 0000-0001-6492-0330 2 0000-0002-3937-4988 3 0000-0002-7185-8464 4 0000-0002-3221-9774 5 6 0000-0002-4152-3409 7 0000-0001-8008-941X | |||
| Grupo | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 3 4 DIOTG-CGCT-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 National Research Council of Italy 3 National Research Council of Italy 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 National Research Council of Italy 6 National Research Council of Italy 7 University of Cambridge | |||
| Endereço de e-Mail do Autor | 1 thaimunhoz98@gmail.com 2 3 4 claudio.barbosa@inpe.br | |||
| Revista | Remote Sensing | |||
| Volume | 15 | |||
| Número | 5 | |||
| Páginas | e1299 | |||
| Nota Secundária | B3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I | |||
| Histórico (UTC) | 2023-03-21 14:24:49 :: simone -> administrator :: 2023-03-21 14:24:51 :: administrator -> simone :: 2023 2023-03-21 14:25:28 :: simone -> administrator :: 2023 2023-04-17 14:52:00 :: administrator -> simone :: 2023 2023-06-22 15:57:35 :: simone -> administrator :: 2023 2024-04-17 08:12:04 :: administrator -> simone :: 2023 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Palavras-Chave | aquatic remote sensing cyanobacteria hyperspectral machine learning phycocyanin semi-analytical model | |||
| Resumo | The aim of this work is to test the state-of-the-art of water constituent retrieval algorithms for phycocyanin (PC) and chlorophyll-a (chl-a) concentrations in Brazilian reservoirs from hyperspectral PRISMA images and concurrent in situ data. One near-coincident Sentinel-3 OLCI dataset has also been considered for PC mapping as its high revisit time is a relevant element for mapping cyanobacterial blooms. The testing was first performed on remote sensing reflectance ((Formula presented.)), as derived by applying two atmospheric correction methods (6SV, ACOLITE) to Level 1 data and as provided in the corresponding Level 2 products (PRISMA L2C and OLCI L2-WFR). Since PRISMA images were affected by sun glint, the testing of three de-glint models was also performed. The applicability of Semi-Analytical (SA) and Mixture Density Network (MDN) algorithms in enabling PC and chl-a concentration retrieval was then tested over three PRISMA scenes; in the case of PC concentration estimation, a Random Forest (RF) algorithm was further applied. Regarding OLCI, the SA algorithm was tested for PC estimation; notably, only SA was calibrated with site-specific data from the reservoir. The algorithms were applied to the (Formula presented.) spectra provided by PRISMA L2C productsand those derived with ACOLITE, in the case of OLCIas these data showed better agreement with in situ measurements. The SA model provided low median absolute error (MdAE) for PRISMA-derived (MdAE = 3.06 mg.m−3) and OLCI-derived (MdAE = 3.93 mg.m−3) PC concentrations, while it overestimated PRISMA-derived chl-a (MdAE = 42.11 mg.m−3). The RF model for PC applied to PRISMA performed slightly worse than SA (MdAE = 5.21 mg.m−3). The MDN showed a rather different performance, with higher errors for PC (MdAE = 40.94 mg.m−3) and lower error for chl-a (MdAE = 23.21 mg.m−3). The results overall suggest that the model calibrated with site-specific measurements performed better and indicates that SA could be applied to PRISMA and OLCI for remote sensing of PC in Brazilian reservoirs. | |||
| Área | SRE | |||
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessment of estimated... | |||
| Arranjo 2 | urlib.net > BDMCI > Fonds > LabISA > Assessment of estimated... | |||
| Arranjo 3 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of estimated... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| URL dos dados | http://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/48P6232 | |||
| URL dos dados zipados | http://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/48P6232 | |||
| Idioma | en | |||
| Arquivo Alvo | remotesensing-15-01299-v2.pdf | |||
| Grupo de Usuários | simone | |||
| Grupo de Leitores | administrator simone | |||
| Visibilidade | shown | |||
| Política de Arquivamento | allowpublisher allowfinaldraft | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/439EAFB 8JMKD3MGPCW/46KUATE | |||
| Lista de Itens Citando | sid.inpe.br/bibdigital/2013/10.18.22.34 6 sid.inpe.br/mtc-m21/2012/07.13.14.43.57 3 sid.inpe.br/bibdigital/2022/04.03.22.23 1 | |||
| Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||