Automatic Detection of Algal Blooms Using Sentinel-2 MSI and Landsat OLI Images

Algal bloom is a serious global issue for inland waters, posing pose threat to aquatic ecosystems. The timely and accurate detection of algal blooms critical their control, management forecasting. Optical satellite imagery with short revisit times has been widely used monitor in marine large waters. However, such images typically are coarse resolution, limiting utility map small We developed new method the spatial extent using Sentinel-2 MSI Landsat OLI higher resolution but lower temporal based on concept Local Indicator Spatial Association. mapping results was applied measure duration frequency Lake Taihu from 2017 2020. Our show that methodology able extract distribution moderate near-infrared red-edge bands (band 6, 7, 8 8a or band 5 images) by comparison MODIS FAI data (R2 = 0.888 R2 0.85 OLI, P < 0.05). combined (i.e., up 23 days) insufficient during summer time due cloud effects rapid change. research benefits waters complex water conditions.