Advancements in the Programmable Hyperspectral Seawater Scanner Measurement Technology for Enhanced Detection of Harmful Algal Blooms
Document Type
Article
Publication Date
10-1-2024
Abstract
The Programmable Hyperspectral Seawater Scanner (PHySS) represents a significant breakthrough in monitoring harmful algal blooms (HABs), specifically targeting the “Florida red tide” caused by Karenia brevis. By utilizing a Fourth-Derivative Spectral Similarity Index (SI), this study establishes a strong positive correlation between the SI and phytoplankton counts, underscoring the PHySS’s potential for early detection and effective management of HABs. Our findings suggest that the PHySS could act as a predictive tool, offering crucial lead time to mitigate the ecological and economic repercussions of blooms. However, this study also identifies certain limitations of the PHySS technology, such as its inability to differentiate among various phytoplankton species without additional physical verification of cell counts. This limitation highlights the need for a multifaceted approach to HAB management. Our research suggests that adopting a multi-modal monitoring strategy could lead to more sophisticated and effective methods for combating HABs, fostering an optimistic outlook for future advancements in this area.
Publication Title
Journal of Marine Science and Engineering
Recommended Citation
Langan, J.,
&
Bae, J.
(2024).
Advancements in the Programmable Hyperspectral Seawater Scanner Measurement Technology for Enhanced Detection of Harmful Algal Blooms.
Journal of Marine Science and Engineering,
12(10).
http://doi.org/10.3390/jmse12101746
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/1145