A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA).
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
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Scientific data
2025
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| author | Maciel, Daniel Andrade Barbosa, Claudio Clemente Faria de Moraes Novo, Evlyn Márcia Leão Wanderley, Raianny Leite do Nascimento Bacellar, Pedro Baia, Lohan Barbosa Bernini, Henrique Chasles, Rafael G Ciotti, Aurea Fassoni-Andrade, Alice Júnior, Rogério Flores Lima, Thainara Lopes, Fernando Marinho, Rogério Ribeiro Martinelli, André Martins, Vitor S Miranda, Marcela Cesar, Gabriel Moiano da Motta Marques, David Noernberg, Maurício Almeida da Silva, Fernanda Helena Oliveira Pacheco, Felipe Paulino, Rejane S Pereira Filho, Waterloo Pimenta Dos Santos, Júlio César Sander de Carvalho, Lino Augusto Sousa da Silva, Marcio Tavares, Matheus Henrique Ummus, Marta de Matos Valério, Aline Souza Filho, Pedro Walfir M E Watanabe, Fernanda Sayuri Yoshino Zem, Rafaela Cristine |
| author_facet | Maciel, Daniel Andrade Barbosa, Claudio Clemente Faria de Moraes Novo, Evlyn Márcia Leão Wanderley, Raianny Leite do Nascimento Bacellar, Pedro Baia, Lohan Barbosa Bernini, Henrique Chasles, Rafael G Ciotti, Aurea Fassoni-Andrade, Alice Júnior, Rogério Flores Lima, Thainara Lopes, Fernando Marinho, Rogério Ribeiro Martinelli, André Martins, Vitor S Miranda, Marcela Cesar, Gabriel Moiano da Motta Marques, David Noernberg, Maurício Almeida da Silva, Fernanda Helena Oliveira Pacheco, Felipe Paulino, Rejane S Pereira Filho, Waterloo Pimenta Dos Santos, Júlio César Sander de Carvalho, Lino Augusto Sousa da Silva, Marcio Tavares, Matheus Henrique Ummus, Marta de Matos Valério, Aline Souza Filho, Pedro Walfir M E Watanabe, Fernanda Sayuri Yoshino Zem, Rafaela Cristine Maciel, Daniel Andrade Barbosa, Claudio Clemente Faria de Moraes Novo, Evlyn Márcia Leão Wanderley, Raianny Leite do Nascimento Bacellar, Pedro Baia, Lohan Barbosa Bernini, Henrique Chasles, Rafael G Ciotti, Aurea Fassoni-Andrade, Alice Júnior, Rogério Flores Lima, Thainara Lopes, Fernando Marinho, Rogério Ribeiro Martinelli, André Martins, Vitor S Miranda, Marcela Cesar, Gabriel Moiano da Motta Marques, David Noernberg, Maurício Almeida da Silva, Fernanda Helena Oliveira Pacheco, Felipe Paulino, Rejane S Pereira Filho, Waterloo Pimenta Dos Santos, Júlio César Sander de Carvalho, Lino Augusto Sousa da Silva, Marcio Tavares, Matheus Henrique Ummus, Marta de Matos Valério, Aline Souza Filho, Pedro Walfir M E Watanabe, Fernanda Sayuri Yoshino Zem, Rafaela Cristine |
| collection | PubMed - marine biology |
| contents | A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA). Maciel, Daniel Andrade Barbosa, Claudio Clemente Faria de Moraes Novo, Evlyn Márcia Leão Wanderley, Raianny Leite do Nascimento Bacellar, Pedro Baia, Lohan Barbosa Bernini, Henrique Chasles, Rafael G Ciotti, Aurea Fassoni-Andrade, Alice Júnior, Rogério Flores Lima, Thainara Lopes, Fernando Marinho, Rogério Ribeiro Martinelli, André Martins, Vitor S Miranda, Marcela Cesar, Gabriel Moiano da Motta Marques, David Noernberg, Maurício Almeida da Silva, Fernanda Helena Oliveira Pacheco, Felipe Paulino, Rejane S Pereira Filho, Waterloo Pimenta Dos Santos, Júlio César Sander de Carvalho, Lino Augusto Sousa da Silva, Marcio Tavares, Matheus Henrique Ummus, Marta de Matos Valério, Aline Souza Filho, Pedro Walfir M E Watanabe, Fernanda Sayuri Yoshino Zem, Rafaela Cristine 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. |
| format | Artículo científico |
| id | pubmed_40691162 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Scientific data |
| record_format | pubmed |
| spellingShingle | A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA). Maciel, Daniel Andrade Barbosa, Claudio Clemente Faria de Moraes Novo, Evlyn Márcia Leão Wanderley, Raianny Leite do Nascimento Bacellar, Pedro Baia, Lohan Barbosa Bernini, Henrique Chasles, Rafael G Ciotti, Aurea Fassoni-Andrade, Alice Júnior, Rogério Flores Lima, Thainara Lopes, Fernando Marinho, Rogério Ribeiro Martinelli, André Martins, Vitor S Miranda, Marcela Cesar, Gabriel Moiano da Motta Marques, David Noernberg, Maurício Almeida da Silva, Fernanda Helena Oliveira Pacheco, Felipe Paulino, Rejane S Pereira Filho, Waterloo Pimenta Dos Santos, Júlio César Sander de Carvalho, Lino Augusto Sousa da Silva, Marcio Tavares, Matheus Henrique Ummus, Marta de Matos Valério, Aline Souza Filho, Pedro Walfir M E Watanabe, Fernanda Sayuri Yoshino Zem, Rafaela Cristine A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA). Maciel, Daniel Andrade Barbosa, Claudio Clemente Faria de Moraes Novo, Evlyn Márcia Leão Wanderley, Raianny Leite do Nascimento Bacellar, Pedro Baia, Lohan Barbosa Bernini, Henrique Chasles, Rafael G Ciotti, Aurea Fassoni-Andrade, Alice Júnior, Rogério Flores Lima, Thainara Lopes, Fernando Marinho, Rogério Ribeiro Martinelli, André Martins, Vitor S Miranda, Marcela Cesar, Gabriel Moiano da Motta Marques, David Noernberg, Maurício Almeida da Silva, Fernanda Helena Oliveira Pacheco, Felipe Paulino, Rejane S Pereira Filho, Waterloo Pimenta Dos Santos, Júlio César Sander de Carvalho, Lino Augusto Sousa da Silva, Marcio Tavares, Matheus Henrique Ummus, Marta de Matos Valério, Aline Souza Filho, Pedro Walfir M E Watanabe, Fernanda Sayuri Yoshino Zem, Rafaela Cristine 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. |
| title | A bio-optical database for the remote sensing of water quality in BRAZil coAstal and inland waters (BRAZA). |
| url | https://pubmed.ncbi.nlm.nih.gov/40691162/ |