Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1184103
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorMACIEL, D. A.
dc.contributor.authorBARBOSA, C. C. F.
dc.contributor.authorNOVO, E. M. L. de M.
dc.contributor.authorWANDERLEY, R. L. do N.
dc.contributor.authorBACELLAR, P.
dc.contributor.authorBAIA, L. B.
dc.contributor.authorBERNINI, H.
dc.contributor.authorCHASLES, R. G.
dc.contributor.authorCIOTTI, A.
dc.contributor.authorFASSONI-ANDRADE, A.
dc.contributor.authorJÚNIOR, R. F.
dc.contributor.authorLIMA, T.
dc.contributor.authorLOPES, F.
dc.contributor.authorMARINHO, R. R.
dc.contributor.authorMARTINELLI, A.
dc.contributor.authorMARTINS, V. S.
dc.contributor.authorMIRANDA, M.
dc.contributor.authorCESAR, G. M.
dc.contributor.authorMARQUES, D. da M.
dc.contributor.authorNOERNBERG, M. A.
dc.contributor.authorSILVA, F. H. O. da
dc.contributor.authorPACHECO, F.
dc.contributor.authorPAULINO, R. S.
dc.contributor.authorPEREIRA FILHO, W.
dc.contributor.authorSANTOS, J. C. P. dos
dc.contributor.authorCARVALHO, L. A. S. de
dc.contributor.authorSILVA, M. S. da
dc.contributor.authorTAVARES, M. H.
dc.contributor.authorUMMUS, M. E.
dc.contributor.authorVALÉRIO, A. de M.
dc.contributor.authorSOUZA FILHO, P. W. M. e
dc.contributor.authorWATANABE, F. S. Y.
dc.contributor.authorZEM, R. C.
dc.date.accessioned2026-02-03T13:52:57Z-
dc.date.available2026-02-03T13:52:57Z-
dc.date.created2026-02-03
dc.date.issued2025
dc.identifier.citationScientific Data, v. 12, n. 1, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1184103-
dc.descriptionUnderstanding water quality (WQ) is essential for grasping biogeochemical cycles and assessing human impacts such as deforestation, climate change, dam construction, illegal mining, and urbanization. However, monitoring WQ across Brazil’s vast aquatic systems requires significant resources. Remote sensing improves this process by offering high-resolution and large-scale observations. Nevertheless, to produce reliable remote-sensing WQ products based on remote sensing demands comprehensive datasets with concurrent aquatic reflectance and in situ measurements (e.g., Chlorophyll-a, Secchi Disk Depth, Suspended Sediments). Such data enables advanced semi-analytical and machine learning models to capture Brazil’s bio-optical water complexity. Collaborative efforts and open-data sharing are essential for building these datasets. Here, we introduce a new curated, high-quality bio-optical dataset across different aquatic systems in Brazil, called BRAZA (Bio-optical aquatic database for remote sensing of water quality in BRAZil coAstal and inland waters). By leveraging data from 17 institutions, covering 2,895 stations across + 128 lakes, rivers, reservoirs, and coastal areas of Brazil’s five administrative regions our dataset presents an important contribution to support remote sensing WQ-based analysis in Brazil.
dc.language.isoeng
dc.rightsopenAccess
dc.titleA bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA).
dc.typeArtigo de periódico
dc.subject.thesagroHidrologia
dc.subject.thesagroLimnologia
dc.subject.thesagroSensoriamento Remoto
riaa.ainfo.id1184103
riaa.ainfo.lastupdate2026-02-03
dc.identifier.doihttps://doi.org/10.1038/s41597-025-05609-1
dc.contributor.institutionDANIEL ANDRADE MACIEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; CLAUDIO CLEMENTE FARIA BARBOSA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; EVLYN MÁRCIA LEÃO DE MORAES NOVO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; RAIANNY LEITE DO NASCIMENTO WANDERLEY, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; PEDRO BACELLAR, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; LOHAN BARBOSA BAIA, UNIVERSIDADE FEDERAL DO PARÁ; HENRIQUE BERNINI, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; RAFAEL G. CHASLES, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; AUREA CIOTTI, UNIVERSIDADE DE SÃO PAULO; ALICE FASSONI-ANDRADE, UNIVERSIDADE DE BRASÍLIA; ROGÉRIO FLORES JÚNIOR, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; THAINARA LIMA, MISSISSIPPI STATE UNIVERSITY; FERNANDO LOPES, UNIVERSIDADE FEDERAL DO CEARÁ; ROGÉRIO RIBEIRO MARINHO, UNIVERSIDADE FEDERAL DO AMAZONAS; ANDRÉ MARTINELLI, SERVIÇO GEOLÓGICO DO BRASIL; VITOR S. MARTINS, MISSISSIPPI STATE UNIVERSITY; MARCELA MIRANDA, CORNELL UNIVERSITY; GABRIEL MOIANO CESAR, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; DAVID DA MOTTA MARQUES, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; MAURÍCIO ALMEIDA NOERNBERG, UNIVERSIDADE FEDERAL DO PARANÁ; FERNANDA HELENA OLIVEIRA DA SILVA, UNIVERSIDADE FEDERAL DO CEARÁ; FELIPE PACHECO, CORNELL UNIVERSITY; REJANE S. PAULINO, MISSISSIPPI STATE UNIVERSITY; WATERLOO PEREIRA FILHO, UNIVERSIDADE FEDERAL DE SANTA MARIA; JÚLIO CÉSAR PIMENTA DOS SANTOS, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; LINO AUGUSTO SANDER DE CARVALHO, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; MARCIO SOUSA DA SILVA, INSTITUTO TECNOLÓGICO VALE; MATHEUS HENRIQUE TAVARES, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; MARTA EICHEMBERGER UMMUS, CNPASA; ALINE DE MATOS VALÉRIO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; PEDRO WALFIR M. E SOUZA FILHO, UNIVERSIDADE FEDERAL DO PARÁ; FERNANDA SAYURI YOSHINO WATANABE, UNIVERSIDADE ESTADUAL PAULISTA; RAFAELA CRISTINE ZEM, UNIVERSIDADE FEDERAL DO PARANÁ.
Aparece nas coleções:Artigo em periódico indexado (CNPASA)

Arquivos associados a este item:
Arquivo TamanhoFormato 
A-bio-optical.pdf6,97 MBAdobe PDFVisualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace