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dc.contributor.author
Delrieux, Claudio Augusto  
dc.contributor.author
Odorico, Pablo  
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Rodríguez, Lucas  
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Cipolletti, Marina Paola  
dc.contributor.author
Marcovecchio, Diego  
dc.date.available
2018-07-31T19:47:51Z  
dc.date.issued
2016-09  
dc.identifier.citation
Delrieux, Claudio Augusto; Odorico, Pablo; Rodríguez, Lucas; Cipolletti, Marina Paola; Marcovecchio, Diego; Real-time vessel and oil spill detection in the Argentine ocean littoral using SAR satellite imagery; National Institute of Science Communication; Indian Journal of Marine Sciences; 45; 9; 9-2016; 1101-1109  
dc.identifier.issn
0379-5136  
dc.identifier.uri
http://hdl.handle.net/11336/53651  
dc.description.abstract
Oil-spill and furtive vessel detection are among the most required real-time monitoring tasks for environmental and government authorities. In Argentina, whose sea jurisdiction is huge (about one million square km), human asisted monitoring is unfeasible, and therefore remote sensing technologies, for instance satellite imagery, is the only operative and economically feasible solution. Recent associated efforts between the National Aerospace Activities Council of Argentina (CONAE) and its Italian counterpart to operate together the SAOCOM and COSMO satellite constellations enabled the possibility of developing a system capable of providing accurate, realtime space-born SAR imagery. In this work, we describe the theoretical foundations and implementation details of AMTO (Ambiente de Monitoreo TerrestreOceanico) ´ , a system specifically designed to take advantage of the SAR imagery delivered by those two satellite constellations, to provide real-time detection of vessels and oil spills.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
National Institute of Science Communication  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Vessel Detection  
dc.subject
Sar Imagery  
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Oil Spill Detection  
dc.subject.classification
Ciencias de la Computación  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Real-time vessel and oil spill detection in the Argentine ocean littoral using SAR satellite imagery  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-06-28T13:52:02Z  
dc.identifier.eissn
0975-1033  
dc.journal.volume
45  
dc.journal.number
9  
dc.journal.pagination
1101-1109  
dc.journal.pais
India  
dc.journal.ciudad
Nueva Delhi  
dc.description.fil
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina  
dc.description.fil
Fil: Odorico, Pablo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina  
dc.description.fil
Fil: Rodríguez, Lucas. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina  
dc.description.fil
Fil: Cipolletti, Marina Paola. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina  
dc.description.fil
Fil: Marcovecchio, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina  
dc.journal.title
Indian Journal of Marine Sciences  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://nopr.niscair.res.in/handle/123456789/35207