A Semi-Automatic Remote-Sensing-Based System for the Early Detection of Cyanobacterial Blooms: The Case of the Doñana National Park (Spain)
摘要
The potential of applying a semi-automatic remote-sensing system for the early detection of cyanobacterial bloom was evaluated. The system combines in-situ hyper-spectral measurements collected using a set of above-water TriOS RAMSES radiometers with satellite data provided by the Multispectral Instrument onboard Copernicus Sentinel-2. A set of consolidated indices related to the concentration of cyanobacteria is tested and verified against in situ measurements collected between November 2020 and December 2023 in the Spanish National Park of Doñana, in the southwest of the Iberian Peninsula. Results indicate that in situ hyper-spectral observations allow the rapid detection of both phytoplankton bulk biomass and cyanobacteria. Regarding satellite observations, while sensitive to the sole bulk phytoplankton biomass, they prove to be extremely useful for the spatial characterization of the water body, thus allowing a more robust assessment of the general ecosystem status. Finally, a specific automatic processing chain and a graphical user interface have been implemented to ensure the easy exploitation of the radiometric measurements and their use by the National Park Monitoring Team.