Title:	A bio-optical aquatic database for the remote sensing of water quality in coastal and inland waters of Brazil.
Authors:	MACIEL, D. BARBOSA, C. NOVO, E. WANDERLEY, R. BAIA, L. CHASLES, R. CIOTTI, A. FLORES JÚNIOR, R. LOPES, F. MARINHO, R. MARTINS, V. MIRANDA, M. MOIANO, G. MARQUES, D. da M. NOERNBERG, M. OLIVEIRA, F. H. PACHECO, F. PEREIRA FILHO, W. CARVALHO, L. A. S. de SOUSA, M. TAVARES, M. UMMUS, M. E. VALÉRIO, A. WALFIR, P. WATANABE, F. ZEM, R.
Affiliation:	DANIEL MACIEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; CLAUDIO BARBOSA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; EVLYN NOVO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; RAIANNY WANDERLEY, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; LOHAN BAIA, UNIVERSIDADE FEDERAL DO PARÁ; RAFAEL CHASLES, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; AUREA CIOTTI, CEBIMAR; ROGERIO FLORES JUNIOR, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; FERNANDO LOPES, UNIVERSIDADE FEDERAL DO CEARÁ; ROGERIO MARINHO, UNIVERSIDADE FEDERAL DO AMAZONAS; VITOR MARTINS, MISSISSIPPI STATE UNIVERSITY; MARCELA MIRANDA, CORNELL UNIVERSITY; GABRIEL MOIANO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; DAVID DA MOTTA MARQUES, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; MAURICIO NOERNBERG, UNIVERSIDADE FEDERAL DO PARANÁ; FERNANDA HELENA OLIVEIRA, UNIVERSIDADE FEDERAL DO CEARÁ; FELIPE PACHECO, CORNELL UNIVERSITY; WATERLOO PEREIRA FILHO, UNIVERSIDADE FEDERAL DE SANTA MARIA; LINO AUGUSTO SANDER DE CARVALHO, UNIVERSIDADE FEDERAL DO RIO DE JANEIRO; MARCIO SOUSA, VALE INSTITUTE OF TECHNOLOGY; MATHEUS TAVARES, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; MARTA EICHEMBERGER UMMUS, CNPASA; ALINE VALERIO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; PEDRO WALFIR, VALE INSTITUTE OF TECHNOLOGY; FERNANDA WATANABE, UNIVERSIDADE ESTADUAL PAULISTA; RAFAELA ZEM, UNIVERSIDADE FEDERAL DO PARANÁ.
Date Issued:	2025
Citation:	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 21, 2025, Salvador. Anais eletrônicos. Campinas: Galoá, 2025.
Description:	Monitoring water quality (WQ) in a vast country as Brazil demands significant effort and financial resources. Remote sensing (RS) plays a crucial role in optimizing this monitoring by providing a synoptic view of aquatic environments with high spatiotemporal resolution. However, developing high-quality WQ products using RS requires a comprehensive and extensive database that includes concurrent aquatic reflectance data and WQ variables (e.g., Chlorophyll-a, Secchi Disk Depth). Such databases enable the application of advanced semi-analytical and machine learning models to capture the bio-optical complexity of these waters. Building this database requires a collaborative community effort. This paper presents the first compilation of bio-optical datasets for the Brazilian coastal and freshwater ecosystems. This initiative involves 14 institutions and currently comprises 3,058 unique stations across more than eighty lakes, rivers, reservoirs, and coastal waters in Brazil. Our dataset reveals that the Amazon Basin is well represented with over 1,600 stations; however, the central-west region, particularly the Pantanal, still lacks adequate representation in these bio-optical datasets. The final dataset is still under development and will be submitted to a Data journal soon.
Thesagro:	Sensoriamento Remoto Qualidade da Água
NAL Thesaurus:	Remote sensing Reflectance Water quality
Keywords:	Bio-optical dataset Tropical freshwater database
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPASA)