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The Hierarchic treatment of marine ecological information from spatial networks of benthic platforms
dc.contributor.author | Aguzzi, Jacopo |
dc.contributor.author | Chatzievangelou, Damianos |
dc.contributor.author | Francescangeli, Marco |
dc.contributor.author | Marini, Simone |
dc.contributor.author | Bonofiglio, Federico |
dc.contributor.author | Río Fernandez, Joaquín del |
dc.contributor.author | Danovaro, Roberto |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Ciències del Mar |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2020-03-24T11:30:26Z |
dc.date.available | 2020-03-24T11:30:26Z |
dc.date.issued | 2020-03-21 |
dc.identifier.citation | Aguzzi, J. [et al.]. The Hierarchic treatment of marine ecological information from spatial networks of benthic platforms. "Sensors", 21 Març 2020, vol. 20, núm. 6, p. 1751:1-1751:21. |
dc.identifier.issn | 1424-8220 |
dc.identifier.other | https://www.terkko.helsinki.fi/article/22515178_sensors-vol-20-pages-1751-the-hierarchic-treatment-of-marine-ecological-information-from-spatial-networks-of-benthic-platforms |
dc.identifier.uri | http://hdl.handle.net/2117/181138 |
dc.description.abstract | Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals. |
dc.language.iso | eng |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
dc.rights | Attribution 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Underwater imaging systems |
dc.subject.lcsh | Ocean bottom -- Research |
dc.subject.lcsh | Artificial intelligence |
dc.subject.other | Cabled observatories |
dc.subject.other | Crawler |
dc.subject.other | Imaging |
dc.subject.other | Ecological information treatment |
dc.subject.other | Ecological indicators |
dc.subject.other | Data banking |
dc.subject.other | Artificial intelligence |
dc.subject.other | Cyber-infrastructures |
dc.title | The Hierarchic treatment of marine ecological information from spatial networks of benthic platforms |
dc.type | Article |
dc.subject.lemac | Comunicacions subacuàtiques |
dc.subject.lemac | Fons marins -- Investigació |
dc.subject.lemac | Intel·ligència artificial |
dc.subject.lemac | Adquisició de dades |
dc.contributor.group | Universitat Politècnica de Catalunya. SARTI-MAR - Sistemes d'Adquisició Remota de dades i Tractament de la Informació en el Medi Marí |
dc.identifier.doi | 10.3390/s20061751 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/20/6/1751 |
dc.rights.access | Open Access |
local.identifier.drac | 27605311 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-87861-R/ES/REDES DE SENSORES SUBMARINOS AUTONOMOS Y CABLEADOS APLICADOS A LA MONITORIZACION REMOTA DE INDICADORES BIOLOGICOS/ |
dc.relation.projectid | info:eu-repo/grantAgreement/AGAUR/RIS3CAT/2017 SGR 371 |
local.citation.author | Aguzzi, J.; Chatzievangelou, D.; Francescangeli, M.; Marini, S.; Bonofiglio, F.; Del Rio, J.; Danovaro, R. |
local.citation.publicationName | Sensors |
local.citation.volume | 20 |
local.citation.number | 6 |
local.citation.startingPage | 1751:1 |
local.citation.endingPage | 1751:21 |
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