Comparative Study of In Situ Chlorophyll-a Measuring Methods and Remote Sensing Techniques Focusing on Different Applied Algorithms in an Inland Lake

• Published in: Water (Basel) Vol. 16; no. 15; p. 2104
• Main Authors: Grósz, János, Tóth, Veronika Zsófia, Waltner, István, Vekerdy, Zoltán, Halupka, Gábor
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2024
• Subjects: Algae; algal blooms; Algorithms; Analysis; Artificial satellites in remote sensing; Chlorophyll; comparative study; computer software; Cyanobacteria; Data collection; Ecosystems; Laboratories; Lakes; Methods; Microorganisms; Onsite; Plankton; Remote sensing; satellites; summer; Ultraviolet radiation; Usability; water; water conservation; Water quality; Water resources management; Water temperature; Hungary
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w16152104

Water conservation efforts and studies receive special attention, versatile and constantly developing remote sensing methods especially so. The quality and quantity of algae fundamentally influence the ecosystems of water bodies. Inland lakes are less-frequently studied despite their essential ecological role compared to ocean and sea waters. One of the reasons for this is the small-scale surface extension, which poses challenges during satellite remote sensing. In this study, we investigated the correlations between remote-sensing- (via Seninel-2 satellite) and laboratory-based results in different chlorophyll-a concentration ranges. In the case of low chlorophyll-a concentrations, the measured values were between 15 µg L−1 and 35 µg L−1. In the case of medium chlorophyll-a concentrations, the measured values ranged between 35 and 80 µg L−1. During high chlorophyll-a concentrations, the results were higher than 80 µg L−1. Finally, under extreme environmental conditions (algal bloom), the values were higher than 180 µg L−1. We also studied the accuracy and correlation and the different algorithms applied through the Acolite (20231023.0) processing software. The chl_re_mishra algorithm of the Acolite software gave the highest correlation. The strong positive correlations prove the applicability of the Sentinel-2 images and the Acolite software in the indication of chlorophyll-a. Because of the high CDOM concentration of Lake Naplás, the blue–green band ratio underestimated the concentration of chlorophyll-a. In summer, higher chlorophyll-a was detected in both laboratory and satellite investigations. In the case of extremely high chlorophyll-a concentrations, it is significantly underestimated by satellite remote sensing. This study proved the applicability of remote sensing to detect chlorophyll-a content but also pointed out the current limitations, thus assigning future development and research directions.