What are the most viable temporal compositions and models to estimate bathymetry in Brazilian semi-arid reservoirs based on Sentinel-2A images?

Abstract Reservoirs are important for water resource management, but traditional bathymetric surveys are costly and have limited capacity for continuous monitoring. This study investigates using Sentinel-2A imagery to estimate bathymetry in Brazilian semi-arid reservoirs. Field data were collected a...

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Κύριοι συγγραφείς:	ALESSANDRO HIGOR G. DA ROCHA, PAULO VICTOR N. ARAÚJO, FRANCISCO GUSTAVO DA SILVA, RENATA AKEMI SHINOZAKI-MENDES, ANTÔNIO HENRIQUE C. DO NASCIMENTO, ELISIANE ALBA, ARACI F. SILVA, ALAN CÉZAR BEZERRA
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Academia Brasileira de Ciências 2025-11-01
Σειρά:	Anais da Academia Brasileira de Ciências
Θέματα:	Machine Learning Nonlinear Modeling Remote Sensing Reservoir Monitoring Water Resources
Διαθέσιμο Online:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025001301101&tlng=en
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