Depth Mapping in Turbid and Deep Waters Using AVIRIS‐NG Imagery: A Study in Wax Lake Delta, Louisiana, USA

Abstract Remote sensing has been widely applied to investigate fluvial processes, but depth retrievals face significant constraints in deep and turbid conditions. This study evaluates the potential for depth retrievals under such challenging conditions using NASA's Airborne Visible/Infrared Imaging...

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Hlavní autoři:	Siyoon Kwon, Paola Passalacqua, Antoine Soloy, Daniel Jensen, Marc Simard
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2024-11-01
Edice:	Water Resources Research
Témata:	depth mapping imaging spectroscopy Wax Lake Delta remote sensing machine learning
On-line přístup:	https://doi.org/10.1029/2023WR036875
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