Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes

With the increasing occurrence of cyanobacteria blooms, it is crucial to improve our ability to monitor impacted lakes accurately, efficiently, and safely. Cyanobacteria are naturally occurring in many waters globally. Some species can release neurotoxins which cause skin irritations, gastrointestin...

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Autores principales:	Christine L. Bunyon, Benjamin T. Fraser, Amanda McQuaid, Russell G. Congalton
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-05-01
Colección:	Remote Sensing
Materias:	cyanobacteria unmanned aerial systems water quality multispectral imagery machine learning classification
Acceso en línea:	https://www.mdpi.com/2072-4292/15/11/2839
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