Sharp, SLO’Shea, RECortés, AForrest, ALKravitz, JLain, LislMpaoane, SMudzielwana, RMudzielwana, RMudzielwana, RPillay, HPindihama, GSchladow, GSSmith, Marié ETorres-Perez, JGuild, LS2026-05-222026-05-222025-05http://hdl.handle.net/10204/14805Phytoplankton Community Composition (PCC) is an important measure of the aquatic health of inland water bodies. Globally, PCC in inland waters is shifting towards Cyanobacteria dominance, resulting in toxic Harmful Algal Blooms. As such, tools for monitoring PCC are important for management of these water resources. More readily available hyperspectral data from imaging spectrometer missions will allow for PCC identification. This study evaluates the performance of the PCC classification algorithm Phytoplankton Detection with Optics (PHYDOTax) [1] with new application to inland waters in California and South Africa.FulltextenPhytoplankton Community CompositionCyanobacteria DominanceHarmful Algal BloomsPHYDOTax AlgorithmInland Water Quality MonitoringConference Presentationn/a