Sentinel-2 and Landsat-8 Observations for Harmful Algae Blooms in a Small Eutrophic Lake

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 21; p. 4479
• Main Authors: Liu, Miao, Ling, Hong, Wu, Dan, Su, Xiaomei, Cao, Zhigang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Air temperature; Algae; algae bloom; Algal blooms; Aquatic environment; Aquatic plants; Constellations; Cyanobacteria; Drinking water; Ecological effects; Economic development; Environmental monitoring; Environmental restoration; eutrophic; Eutrophic lakes; Eutrophication; Health risks; Histograms; Lakes; Landsat; Landsat satellites; Local government; Monitoring instruments; Nutrients; Ocean color; Public health; Remote sensing; Satellite observation; Seasonal variations; sentinel; Short wave radiation; Spatial discrimination; Spatial resolution; Water quality; Wind speed; United States > US; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs13214479

Widespread harmful cyanobacterial bloom is one of the most pressing concerns in lakes and reservoirs, resulting in a lot of negative ecological consequences and threatening public health. Ocean color instruments with low spatial resolution have been used to monitor cyanobacterial bloom in large lakes; however, they cannot be applied to small water bodies well. Here, the Multi-Spectral Instrument (MSI) onboard Sentinel-2A and -2B and the Operational Landsat Imager (OLI) onboard Landsat-8 were employed to assemble the virtual constellation and to track spatial and seasonal variations in floating algae blooms from 2016 to 2020 in a small eutrophic plateau lake: Lake Xingyun in China. The floating algae index (FAI) was calculated using Rayleigh-corrected reflectance in the red, near-infrared, and short-wave infrared bands. The MSI-derived FAI had a similar pattern to the OLI-derived FAI, with a mean absolute percentage error of 19.98% and unbiased percentage difference of 17.05%. Then, an FAI threshold, 0.0693, was determined using bimodal histograms of FAI images for floating algae extraction. The floating algae had a higher occurrence in the northern region than the southern region in this lake, whilst the occurrence of floating algae in summer and autumn was higher than that in spring and winter. Such a spatial and seasonal pattern was related to the variability in air temperature, wind speed and direction, and nutrients. The climatological annual mean occurrence of floating algae from 2016 to 2020 in Lake Xingyun exhibited a significant decrease, which was related to decreases in nutrients, resulting from efficient ecological restoration by the local government. This research highlighted the application of OLI-MSI virtual constellation on monitoring floating algae in a small lake, providing a practical and theoretical reference to monitor aquatic environments in small water bodies.