Software Application for Spectral Mixture Analysis for Surveillance of Harmful Algal Blooms (SMASH): A Tool for Identifying Cyanobacteria Genera from Remotely Sensed Data

Remote sensing is often used to detect algae, but standard techniques do not provide information on the types of algae present or their potential to form a harmful algal bloom (HAB). We developed a framework for identifying algal genera based on reflectance: SMASH, short for Spectral Mixture Analysi...

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Hlavní autoři:	Carl J. Legleiter, Tyler V. King
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Ubiquity Press 2024-10-01
Edice:	Journal of Open Research Software
Témata:	harmful algal blooms (habs) hyperspectral remote sensing cyanobacteria genera multiple endmember spectral mixture analysis (mesma)
On-line přístup:	https://account.openresearchsoftware.metajnl.com/index.php/up-j-jors/article/view/499
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