Evidence map›Paper›PMID 40691162›Full record

ArticleScientific data2025

A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA).

Daniel Andrade Maciel, Claudio Clemente Faria Barbosa, Evlyn Márcia Leão de Moraes Novo, Raianny Leite do Nascimento Wanderley, Pedro Bacellar, Lohan Barbosa Baia, Henrique Bernini, Rafael G Chasles, Aurea Ciotti, Alice Fassoni-Andrade and 23 more

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors.

Daniel Andrade MacielEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil. daniel.maciel@inpe.br.ORCID http://orcid.org/0000-0003-4543-5908
Claudio Clemente Faria BarbosaEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.ORCID http://orcid.org/0000-0002-3221-9774
Evlyn Márcia Leão de Moraes NovoEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
Raianny Leite do Nascimento WanderleyEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
Pedro BacellarEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
Lohan Barbosa BaiaFederal University of Pará, Belém, PA, Brazil.
Henrique BerniniEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
Rafael G ChaslesEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
Aurea CiottiCEBIMAR/USP, São Sebastião, SP, Brazil.
Alice Fassoni-AndradeUniversity of Brasília (UnB), Institute of Geosciences, Brasília, Brazil.
Rogério Flores JúniorEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
Thainara LimaDepartment of Agricultural & Biological Engineering, Mississippi State University (MSU), Mississippi State, MS, 39762, USA.
Fernando LopesFederal University of Ceará, Fortaleza, CE, Brazil.
Rogério Ribeiro MarinhoFederal University of Amazonas, Manaus, AM, Brazil.
André MartinelliGeological Survey of Brazil, Manaus, Brazil.
Vitor S MartinsDepartment of Agricultural & Biological Engineering, Mississippi State University (MSU), Mississippi State, MS, 39762, USA.
Marcela MirandaDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, US.
Gabriel Moiano CesarEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
David da Motta MarquesFederal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
Maurício Almeida NoernbergCenter of Marine Studies, Federal University of Paraná (CEM/UFPR), Pontal do Paraná, PR, Brasil.
Fernanda Helena Oliveira da SilvaFederal University of Ceará, Fortaleza, CE, Brazil.
Felipe PachecoDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, US.
Rejane S PaulinoDepartment of Agricultural & Biological Engineering, Mississippi State University (MSU), Mississippi State, MS, 39762, USA.
Waterloo Pereira FilhoFederal University of Santa Maria (UFSM), Santa Maria, RS, Brasil.ORCID http://orcid.org/0000-0001-6449-6322
Júlio César Pimenta Dos SantosEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.ORCID http://orcid.org/0000-0001-9194-6077
Lino Augusto Sander de CarvalhoFederal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Marcio Sousa da SilvaVale Institute of Technology (ITV), Belém, PA, Brazil.
Matheus Henrique TavaresFederal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
Marta UmmusEmbrapa Pesca e Aquicultura, Palmas, TO, Brazil.
Aline de Matos ValérioEarth Science Coordination of National Institute for Space Research (INPE), São José dos Campos, SP, Brazil.
Pedro Walfir M E Souza FilhoFederal University of Pará, Belém, PA, Brazil.
Fernanda Sayuri Yoshino WatanabeDepartment of Cartography, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil.
Rafaela Cristine ZemCenter of Marine Studies, Federal University of Paraná (CEM/UFPR), Pontal do Paraná, PR, Brasil.

Funding

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro) E-26/201.406/2022Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (Carlos Chagas Filho Foundation for Research Support in the State of Rio de Janeiro) e-26/210.202/2018Fundação de Apoio à Pesquisa do Distrito Federal (Foundation for Research Support of the Federal District) 00193-00001379/2024-02
6 · The paper itself

Abstract

Understanding 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.

Identifiers

PMID40691162
PMCPMC12279976

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.