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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Bibliographic Details

Published in:	Journal of Open Research Software
Main Authors:	Carl J. Legleiter, Tyler V. King
Format:	Article
Language:	English
Published:	Ubiquity Press 2024-10-01
Subjects:	harmful algal blooms (habs) hyperspectral remote sensing cyanobacteria genera multiple endmember spectral mixture analysis (mesma)
Online Access:	https://account.openresearchsoftware.metajnl.com/index.php/up-j-jors/article/view/499