XXXIII SIL Congress - poster


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Poster presentato XXXIII SIL

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Specific detection of cyanobacteria blooms in lakes through remote sensing: the approach of the project BLASCO (Blending LAboratory and Satellite techniques for detecting CyanObacteria) Mariano Bresciani1,Claudia Giardino1, Rosaria Lauceri2, Erica Matta1, Ilaria Cazzaniga1, Gianluca Persichetti1, Andrea Lami2, Introduction Martina Austoni2,Emanuela Viaggiu3, Roberta Congestri3, Giuseppe Morabito2 1 CNR – IREA, 2 CNR – ISE, Verbania-Pallanza, 3 University of Rome Tor Vergata - Department of Biology • Cyanobacteria blooms might have an impact on costs for health care and for water treatment for human consumption and on tourism activities • A monitoring system for water quality, which operates on a large scale and at high frequency, would allow to control algal bloom evolution • Satellite observation allows such a monitoring • BLASCO project focuses on the development of techniques for the analysis of satellite images to detect the early stages of bloom formation and to identify phytoplankton taxa in northern Italian lakes • To the aim, the optical properties of cyanobacteria are measured to develop algorithms for satellite data processing and analysis Materials and methods • Algal cultures cultivated in labs are used to analyze the optical properties of different species and strains of cyanobacteria: emission, absorbance and scattering of alagal pigments (chlorophylls, phycocyanins, phycoerythrins, carotenoids) are measured for each algal strain at different concentrations and for different stressing conditions (e.g. temperature, water flow, light exposition) • Cells concentration is quantified by the inverted microscope method • Pigments composition and absorption are performed with HPLC and filter pat techniques • Reflectances were measured with an ASD-FR and a Spectral Evolution spectroradiometers with specific normalized light • Backscattering measurements are gathered with a Hydroscat bb-6 • Field campaigns are performed in meso-eutrophic lakes of Northern Italy to gather data for calibration and validation activities • This dataset is used to test different semi-empirical algorithms based on the integration of reflectances and pigment concentrations as well as the semi-analytical models, based on absorption and back-scattering properties of cyanobacteria • The algorithms are applied to different satellite and airborne sensors Results 11/11/2015 Lake Pusiano: chl-a from Landsat-8 & physic-based approach (6SV for atmosphere + BOMBER for bio-optical modeling) Specific absorption cyanobacteria species Reflectances of cyanobacteria-phycocianin species Manuta lakes: phycocian from APEX airborne data & semi- empirical band-ratio algorithm Backscattering coefficient for Mycrocystis aeruginosa at different concentrations Principal Component Analysis to cluster phytoplankton species, based on fluorimetric data at 653 nm (Mycrocystis aeruginosa) and 660 nm (Anabaena flosaquae) Capability of satellite sensors to capture phycobiliproteins pigments depending on their spectral responses Semi-empirical modelling of phycocianin from lab measurements (left) and in situ fluorimetry (right) Lake Varese: chl-a with presence of cyanobacteria scum from MERIS & MPH algorithm Conclusions • Compilation of a dataset of optical properties of cyanobacteria taxa typical of Italian lakes • Development of specific algorithms to identify cyanobacteria to be applied to the cell concentrations measured in lakes • Identification of thresholds of cyanobacteria concentrations for an effective retrieval from remote sensing techniques • Produce a maps of cyanobacteria and improve ecological analysis of dynamics and development of blooms • Fast recognize, without collecting samples, with different instruments (spectroradiometer, fluorimeter), the presence and concentration of cyanobacteria Funded by Fondazione CARIPLO - Water pollution and water management



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