| Title | Satellite Mapping of Macro-algae and Phytoplankton communities in the Mar Piccolo of Taranto (Ionian Sea, southern Italy), a confined marine basin heavily impacted by anthropogenic activities |
| Abstract | Mar Piccolo is a semi-enclosed sea of about 21 Km2, consisting of two basins to the north of the city of Taranto. It is subjected to multiple anthropogenic pressures, such as industrial and waste pollution, harbour activities, aquaculture and commercial fishing that affect the environmental quality and can favour the arrival and establishment of alien species. The two basins are very different in terms of both abiotic and biotic features. The western basin is a proper marine coastal area, while the eastern one is more similar to a lagoon with very reduced water circulation and low ecological diversity. Throughout the years, the anthropogenic activities increased their impactsonthisecosystemleadingtothespreadofvariousmacro-algalspecies(e.g. Hypnea cornuta and Caulerpa prolifera) and recurrent noxious episodes of phytoplankton blooms. During several sea truth campaigns carried out in 2013 and 2014, many data concerning distribution, density, biomass and chlorophyll a and b, related to the populations of benthic macroalgae and phytoplankton, were acquired at different sampling stations located in the two basins of the Mar Piccolo. The sea truth data collected during these campaigns were integrated with those provided by the new family of multispectral HR satellite sensors, namely Landsat 8 OLI and Sentinel 2 MSI, to preliminarily test their improved capability for seaweed and phytoplankton detailed mapping. Different image based approaches were applied for the essential atmospheric preprocessing focusing on the AOD (Aerosol Optical Depth) and adjacency effects noise contributions removal, taking into account the optical complexity of these shallow waters (case II water). The spectral responses detected by OLI sensor in the form of various blue-green and additional ratios, once atmospherically corrected, were satisfyingly tested for mapping the distribution of phytoplankton communities, through regressive statistical and bio-optical models. The most reliable multivariate models were those obtained for surface and sub-surface distributions of nano-phytoplankton and pico-phytoplankton, respectively. The PLS (Partial Least Square regression) models demonstrated higher robustness for assessing the distribution of all the phytoplankton and Chl a distributions, except for those related to sub-surface micro-phytoplankton, as did the regressive ones. The preliminary distributions obtained via a bio-optical approach, including the OC3 algorithm and full inversion with default settings, showed a general agreement with the previous ones produced by statistic methods. The OLI corrected data were then exploited for assessing the distribution of Caulerpa and Hypnea populations, using a ML (Maximum Likelihood) algorithm through standard supervised classification schema and related station point spectral signatures. Overall, the implemented methodology, based on the HR satellite sensors, allowed us to suitably map the variability at detailed scale of both submerged vegetation and water column concentration of chlorophyll and different phytoplankton populations, in the Mar Piccolo of Taranto. Thus, innovative monitoring methods, integrated by the most recent RS techniques, are needed for the sustainable management of this environment, to prevent, control and mitigate the impact of anthropogenic pressures on the environmental quality, human health and activities such as tourism and aquaculture, economically relevant in this context. |
| Source | European Geosciences Union General Assembly 2018, Vienna, 8-13 aprile 2018Geophysical research abstracts (Online) 20, pp. 13–13 |
| Keywords | remote sensingmacroalgaephytoplanktonMar Piccolochlorophyll |
| Journal | Geophysical research abstracts (Online) |
| Editor | Copernicus GmbH, Katlenburg-Lindau, Germania |
| Year | 2018 |
| Type | Abstract in atti di convegno |
| Authors | Borfecchia F., Rubino F., Cibic T., Caroppo C., Cecere E., De Cecco L., di Poi E., Petrocelli A., Pignatelli V., Micheli C. |
| Text | 393517 2018 remote sensing macroalgae phytoplankton Mar Piccolo chlorophyll Satellite Mapping of Macro algae and Phytoplankton communities in the Mar Piccolo of Taranto Ionian Sea, southern Italy , a confined marine basin heavily impacted by anthropogenic activities Borfecchia F., Rubino F., Cibic T., Caroppo C., Cecere E., De Cecco L., di Poi E., Petrocelli A., Pignatelli V., Micheli C. ENEA Italian Agency for New Technologies, Energy and Sustainable Economic Development. SSPT PROTER OAC, Rome, Italy. Consiglio Nazionale delle Ricerche CNR , Istituto per l Ambiente Marino Costiero IAMC, 74123 Taranto, Italy. Istituto Nazionale di Oceanografia e di Geofisica Sperimentale OGS, Sezione Oceanografia, Trieste, Italy. ENEA Italian Agency for New Technologies, Energy and Sustainable Economic Development. Laboratory of Biomass and Biotechnologies for Energy, Rome, Italy Published version 20 European Geosciences Union General Assembly 2018 Vienna 8 13 aprile 2018 Internazionale Contributo Mar Piccolo is a semi enclosed sea of about 21 Km2, consisting of two basins to the north of the city of Taranto. It is subjected to multiple anthropogenic pressures, such as industrial and waste pollution, harbour activities, aquaculture and commercial fishing that affect the environmental quality and can favour the arrival and establishment of alien species. The two basins are very different in terms of both abiotic and biotic features. The western basin is a proper marine coastal area, while the eastern one is more similar to a lagoon with very reduced water circulation and low ecological diversity. Throughout the years, the anthropogenic activities increased their impactsonthisecosystemleadingtothespreadofvariousmacro algalspecies e.g. Hypnea cornuta and Caulerpa prolifera and recurrent noxious episodes of phytoplankton blooms. During several sea truth campaigns carried out in 2013 and 2014, many data concerning distribution, density, biomass and chlorophyll a and b, related to the populations of benthic macroalgae and phytoplankton, were acquired at different sampling stations located in the two basins of the Mar Piccolo. The sea truth data collected during these campaigns were integrated with those provided by the new family of multispectral HR satellite sensors, namely Landsat 8 OLI and Sentinel 2 MSI, to preliminarily test their improved capability for seaweed and phytoplankton detailed mapping. Different image based approaches were applied for the essential atmospheric preprocessing focusing on the AOD Aerosol Optical Depth and adjacency effects noise contributions removal, taking into account the optical complexity of these shallow waters case II water . The spectral responses detected by OLI sensor in the form of various blue green and additional ratios, once atmospherically corrected, were satisfyingly tested for mapping the distribution of phytoplankton communities, through regressive statistical and bio optical models. The most reliable multivariate models were those obtained for surface and sub surface distributions of nano phytoplankton and pico phytoplankton, respectively. The PLS Partial Least Square regression models demonstrated higher robustness for assessing the distribution of all the phytoplankton and Chl a distributions, except for those related to sub surface micro phytoplankton, as did the regressive ones. The preliminary distributions obtained via a bio optical approach, including the OC3 algorithm and full inversion with default settings, showed a general agreement with the previous ones produced by statistic methods. The OLI corrected data were then exploited for assessing the distribution of Caulerpa and Hypnea populations, using a ML Maximum Likelihood algorithm through standard supervised classification schema and related station point spectral signatures. Overall, the implemented methodology, based on the HR satellite sensors, allowed us to suitably map the variability at detailed scale of both submerged vegetation and water column concentration of chlorophyll and different phytoplankton populations, in the Mar Piccolo of Taranto. Thus, innovative monitoring methods, integrated by the most recent RS techniques, are needed for the sustainable management of this environment, to prevent, control and mitigate the impact of anthropogenic pressures on the environmental quality, human health and activities such as tourism and aquaculture, economically relevant in this context. EGU2018 6606 13 abstract pubblicato EGU2018 6606 13.pdf Abstract in atti di convegno Copernicus GmbH 1607 7962 Geophysical research abstracts Online Geophysical research abstracts Online Geophys. res. abstr. Online Geophysical research abstracts. Online antonella.petrocelli PETROCELLI ANTONELLA carmela.caroppo CAROPPO CARMELA fernando.rubino RUBINO FERNANDO ester.cecere CECERE ESTER |
