A Semi-Automatic Remote-Sensing-Based System for the Early Detection of Cyanobacterial Blooms: The Case of the Doñana National Park (Spain)

A semi-automatic remote-sensing system demonstrates significant potential for the early detection of cyanobacterial blooms, offering a rapid and efficient tool for monitoring water quality. The study, conducted in Doñana National Park from 2020 to 2023, combines in-situ hyper-spectral measurements with satellite data from Copernicus Sentinel-2, revealing that while satellite observations are more sensitive to general phytoplankton biomass, they provide critical spatial insights for assessing ecosystem health. In-situ hyper-spectral data, however, enable precise detection of cyanobacteria concentrations. The research also introduces an automatic processing chain and user-friendly interface to streamline data exploitation, making it accessible for monitoring teams in national parks.

Martínez-Fornos, G., Talone, M., Cobos, J., Bustamante, J., & Díaz-Delgado, R. (2025). A Semi-Automatic Remote-Sensing-Based System for the Early Detection of Cyanobacterial Blooms: The Case of the Doñana National Park (Spain). Wetlands, 45(6). https://doi.org/10.1007/s13157-025-01962-4