A new paper published in the journal Remote Sensing presents a thorough comparison of the performance of semi-empirical methods aimed at retrieving spatial and temporal distributions of chlorophyll-a (Chl-a) concentrations in both the nearshore and offshore waters of the western part of Lake Ontario. The paper is authored by Ecohydrology Research Group MSc student Ali Reza Shahvaran and his co-supervisors, Dr. Homa Kheyrollah Pour from Laurier University and Dr. Philippe Van Cappellen. Broad ranges of Chl-a retrieval indexes and atmospheric correction processors were applied to satellite data from Landsat 5, 7, 8, and 9, plus Sentinel 2 A/B that, in turn, were matched to 600 in-situ measured concentrations. The results of the comparative analysis contribute to growing global efforts to use satellite-borne remote sensing in lake water quality monitoring and management.
The open-access paper can be found at https://doi.org/10.3390/rs16091595