Hytech-imaging (FR)
Microalgae blooms represent an increasingly present risk in coastal regions. They have in fact been favoured, in recent years, by the increasing anthropization of these areas and global warming throughout the world. Efflorescences, or blooms, lead to overconsumption of oxygen which can lead to attacks of anoxia, but they can also be toxic, or cause mechanical damage to fish by crossing their gills. They therefore have a serious impact on humans, the environment, and aquaculture activities. This project focuses on this last sector in particular, by anticipating blooms to protect the health of fish, and avoid serious mortality problems in production.
The ultimate objective of the EO4HAB project consists of developing a pre-operational tool for the detection, characterization and prediction of microalgae blooms for aquaculture professionals, thanks to the combined use of in situ data (sampling, buoys for measuring physico-chemical parameters, and spectrometric probes), multispectral (Sentinel-2/3, VIIRS, future nanosatellite constellations) and hyperspectral (PRISMA / ENMAP) satellite images.
From a user point of view, the system to be developed should include the following functions
1.Upstream calibration:
a. Characterization of the phenology of the sitethanks to in situ sampling
b. Calibration of the satellite data processing chain
2. Alert (before the arrival of the bloom on the installations):
a. in situ data in deep water (5 to 20m) if available
b. Large-scale satellite alert
c. Characterization of the bloom (spatial footprint,first estimate of abundance, identification of the group if possible)
d. Predicting large-scale spatio-temporal evolution
3. Characterization (after the arrival of the bloom):
a. Confirmation by in situ sampling
b. Prediction of spatio-temporal evolution at thescale of installations
