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dc.contributor.author
Huamantinco Cisneros, María Andrea
dc.contributor.author
Revollo Sarmiento, Natalia V Eronica
dc.contributor.author
Delrieux, Claudio Augusto
dc.contributor.author
Piccolo, Maria Cintia
dc.contributor.author
Perillo, Gerardo Miguel E.
dc.date.available
2017-07-13T17:12:26Z
dc.date.issued
2016-06
dc.identifier.citation
Huamantinco Cisneros, María Andrea; Revollo Sarmiento, Natalia V Eronica; Delrieux, Claudio Augusto; Piccolo, Maria Cintia; Perillo, Gerardo Miguel E.; Beach carrying capacity assessment through image processing tools for coastal management; Elsevier; Ocean & Coastal Management; 130; 6-2016; 138-147
dc.identifier.issn
0964-5691
dc.identifier.uri
http://hdl.handle.net/11336/20340
dc.description.abstract
Coastal environments are spaces where people may develop varied economic and recreational activities,such as tourism, which usually damage beaches and other natural resources commonly placed in thesesettings. The aim of this paper is to present a methodology to estimate and evaluate the Beach CarryingCapacity (BCC) and the actual beach usage level in coastal cities, using on-site information and videoprocessing to provide significant real-time data. To test our methodology, we chose the coastal city ofMonte Hermoso, Argentina, as a pilot site because it is by far the prime choice for a large populationduring summer vacation in this country. Initially, to estimate BCC, cartographic information about facilitiesand beach zones was collected and combined with surveys requested to tourists, to better understandtheir habits and preferences. This allowed an accurate estimation of other beach capacitiesrelated to BCC. Secondly, beach video sequences were processed with an algorithm that identified,located and counted people on the beach with an adequate accuracy. The actual occupancy factor wascomputed and used to asses whether the BCC had been exceeded. Also, people were tracked and theirpreferred relaxing areas were registered (e.g, closer to seaside during the morning). Finally, all the informationwas stored and visualized using a Geographic Information System (GIS) which allows both toanalyze the different information layers and to produce interactive thematic maps. In this way, theresulting methodology may help to identify zones under risk of deterioration and to define suitableplaces for the development of varied activities (specially those related to tourism). It may also serve as adashboard for decision and policy making and contribute to coastal management planning as well.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Imagine Processing
dc.subject
Coastal Software
dc.subject
Feature Extraction
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Beach carrying capacity assessment through image processing tools for coastal management
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-06-29T13:29:20Z
dc.journal.volume
130
dc.journal.pagination
138-147
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Huamantinco Cisneros, María Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
dc.description.fil
Fil: Revollo Sarmiento, Natalia V Eronica. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Delrieux, Claudio Augusto. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Piccolo, Maria Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
dc.description.fil
Fil: Perillo, Gerardo Miguel E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
dc.journal.title
Ocean & Coastal Management
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0964569116301193
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ocecoaman.2016.06.010


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