Mapping Harmful Algae Blooms: The Potential of Hyperspectral Imaging Technologies.

Bibliographic Details
Title: Mapping Harmful Algae Blooms: The Potential of Hyperspectral Imaging Technologies.
Authors: Arias, Fernando1,2 (AUTHOR), Zambrano, Maytee1,2 (AUTHOR) maytee.zambrano@utp.ac.pa, Galagarza, Edson1,3 (AUTHOR), Broce, Kathia1,3 (AUTHOR)
Source: Remote Sensing. Feb2025, Vol. 17 Issue 4, p608. 26p.
Subject Terms: *WATER quality, *ALGAL blooms, *BODIES of water, *MARINE biology, *MARINE ecology
Abstract: Harmful algae blooms (HABs) pose critical threats to aquatic ecosystems and human economies, driven by their rapid proliferation, oxygen depletion capacity, toxin release, and biodiversity impacts. These blooms, increasingly exacerbated by climate change, compromise water quality in both marine and freshwater ecosystems, significantly affecting marine life and coastal economies based on fishing and tourism while also posing serious risks to inland water bodies. This article examines the role of hyperspectral imaging (HSI) in monitoring HABs. HSI, with its superior spectral resolution, enables the precise classification and mapping of diverse algae species, emerging as a pivotal tool in environmental surveillance. An array of HSI techniques, algorithms, and deployment platforms are evaluated, analyzing their efficacy across varied geographical contexts. Notably, hyperspectral sensor-based studies achieved up to 90% classification accuracy, with regression-based chlorophyll-a (Chl-a) estimations frequently reaching coefficients of determination ( R 2 ) above 0.80. These quantitative findings underscore the potential of HSI for robust HAB diagnostics and early warning systems. Furthermore, we explore the current limitations and future potential of HSI in HAB management, highlighting its strategic importance in addressing the growing environmental and economic challenges posed by HABs. This paper seeks to provide a comprehensive insight into HSI's capabilities, fostering its integration in global strategies against HAB proliferation. [ABSTRACT FROM AUTHOR]
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ISSN:20724292
DOI:10.3390/rs17040608
Published in:Remote Sensing
Language:English