Demonstrates quantified chlorophyll-a profiling in fresh waters, indicating the effectiveness of a new lidar system.
We have developed a portable LD fluorescence-Raman lidar system providing quantified Chl-a profiles of Chlorella vulgaris. Based on the lidar observations and estimated Chl-a concentrations, we studied SCM characteristics at varying biomass concentrations. A positive linear relationship between the fitted curve and the lidar Chl-a data (R2 = 0.96) is observed, which enhances accuracy and efficiency in chlorophyll-a monitoring. The developed system showed significant importance in Chl-a profiling in fresh surface waters affected by domestic effluents, and agricultural runoff.
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Cadondon et al. (2026) studied this question.
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