BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION

[EN] While traditionally archaeological research has mainly been focused on individual cultural heritage monuments or distinct archaeological sites, the Austrian based Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology goes beyond the limitations of discrete sites in o...

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Detalles Bibliográficos
Autores: Torrejón Valdelomar, Juan, Wallner, Mario, Trinks, Immo, Kucera, Matthias, Luznik, Nika, Löcker, Klaus, Neubauer, Wolfgang
Tipo de recurso: capítulo de libro
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/86294
Acceso en línea:https://riunet.upv.es/handle/10251/86294
Access Level:acceso abierto
Palabra clave:Data acquisition
Photogrammetry
Remote sensing
Documentation
Cultural heritage
Digitisation
3D modelling
Virtual archaeology
Virtual museums
Virtual exhibitions
Gaming
Collaborative environments
Internet technology
Social media
Architecture
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network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
“BIG DATA” EN PROSPECCIÓN ARQUEOLÓGICA DEL PAISAJE
title BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
spellingShingle BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
Torrejón Valdelomar, Juan
Data acquisition
Photogrammetry
Remote sensing
Documentation
Cultural heritage
Digitisation
3D modelling
Virtual archaeology
Virtual museums
Virtual exhibitions
Gaming
Collaborative environments
Internet technology
Social media
Architecture
title_short BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
title_full BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
title_fullStr BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
title_full_unstemmed BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
title_sort BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION
dc.creator.none.fl_str_mv Torrejón Valdelomar, Juan
Wallner, Mario
Trinks, Immo
Kucera, Matthias
Luznik, Nika
Löcker, Klaus
Neubauer, Wolfgang
author Torrejón Valdelomar, Juan
author_facet Torrejón Valdelomar, Juan
Wallner, Mario
Trinks, Immo
Kucera, Matthias
Luznik, Nika
Löcker, Klaus
Neubauer, Wolfgang
author_role author
author2 Wallner, Mario
Trinks, Immo
Kucera, Matthias
Luznik, Nika
Löcker, Klaus
Neubauer, Wolfgang
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Data acquisition
Photogrammetry
Remote sensing
Documentation
Cultural heritage
Digitisation
3D modelling
Virtual archaeology
Virtual museums
Virtual exhibitions
Gaming
Collaborative environments
Internet technology
Social media
Architecture
topic Data acquisition
Photogrammetry
Remote sensing
Documentation
Cultural heritage
Digitisation
3D modelling
Virtual archaeology
Virtual museums
Virtual exhibitions
Gaming
Collaborative environments
Internet technology
Social media
Architecture
description [EN] While traditionally archaeological research has mainly been focused on individual cultural heritage monuments or distinct archaeological sites, the Austrian based Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology goes beyond the limitations of discrete sites in order to understand their archaeological context. This is achieved by investigating the space in-between the sites, studying entire archaeological landscapes from the level of individual postholes to the mapping of numerous square kilometres. This large-scale, high-resolution, multi-method prospection approach leads to enormous digital datasets counting many terabytes of data that until recently were technically not manageable. Novel programs and methods of data management had to be developed for data acquisition, processing and archaeological interpretation, in order to permit the extraction of the desired information from the very big amount of data. The analysis of the generated datasets is conducted with the help of semi-automatic algorithms within complex three-, or even four-dimensional geographical information systems. The outcome of landscape archaeological prospection surveys is visually communicated to the scientific community as well as to the general public and stakeholders. In many cases, a visualization of the scientific result and archaeological interpretations can be a powerful and suitable tool to illustrate and communicate even complex contexts to a wide audience. This paper briefly presents the great potential offered by a combination of large-scale non-invasive archaeological prospection methods and standardized workflows for the integration of big data, its interpretation and visualization. The proposed approach provides a context for buried archaeology across entire archaeological landscapes, changing our understanding of known monuments. We address the overcome and remaining challenges with the help of examples taken from outstanding landscape archaeological prospection case studies.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-10-27
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/86294
url https://riunet.upv.es/handle/10251/86294
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling BIG DATA IN LANDSCAPE ARCHAEOLOGICAL PROSPECTION“BIG DATA” EN PROSPECCIÓN ARQUEOLÓGICA DEL PAISAJETorrejón Valdelomar, JuanWallner, MarioTrinks, ImmoKucera, MatthiasLuznik, NikaLöcker, KlausNeubauer, WolfgangData acquisitionPhotogrammetryRemote sensingDocumentationCultural heritageDigitisation3D modellingVirtual archaeologyVirtual museumsVirtual exhibitionsGamingCollaborative environmentsInternet technologySocial mediaArchitecture[EN] While traditionally archaeological research has mainly been focused on individual cultural heritage monuments or distinct archaeological sites, the Austrian based Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology goes beyond the limitations of discrete sites in order to understand their archaeological context. This is achieved by investigating the space in-between the sites, studying entire archaeological landscapes from the level of individual postholes to the mapping of numerous square kilometres. This large-scale, high-resolution, multi-method prospection approach leads to enormous digital datasets counting many terabytes of data that until recently were technically not manageable. Novel programs and methods of data management had to be developed for data acquisition, processing and archaeological interpretation, in order to permit the extraction of the desired information from the very big amount of data. The analysis of the generated datasets is conducted with the help of semi-automatic algorithms within complex three-, or even four-dimensional geographical information systems. The outcome of landscape archaeological prospection surveys is visually communicated to the scientific community as well as to the general public and stakeholders. In many cases, a visualization of the scientific result and archaeological interpretations can be a powerful and suitable tool to illustrate and communicate even complex contexts to a wide audience. This paper briefly presents the great potential offered by a combination of large-scale non-invasive archaeological prospection methods and standardized workflows for the integration of big data, its interpretation and visualization. The proposed approach provides a context for buried archaeology across entire archaeological landscapes, changing our understanding of known monuments. We address the overcome and remaining challenges with the help of examples taken from outstanding landscape archaeological prospection case studies.[ES] Aunque tradicionalmente la investigación arqueológica ha estado fundamentalmente centrada en monumentos y yacimientos arqueológicos de forma individual, el Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology (Austria) va más allá de los límites de yacimientos particulares con el objetivo de entender su contexto arqueológico. Esto es conseguido mediante la investigación del espacio entre yacimientos y estudiando paisajes arqueológicos completos yendo desde un hoyo de poste hasta el mapeado de varios kilómetros cuadrados. El enfoque de prospección multi-metodológico a gran escala y de alta resolución conduce hacia un enorme conjunto de datos digital que incluye varios Terabytes de información los cuales no habían podido ser manipulados hasta hace poco debido a limitaciones tecnológicas. Por consiguiente, nuevos programas y métodos de gestión de datos han sido diseñados para la adquisición y procesado de datos así como interpretación arqueológica para así permitir la extracción de la información deseada desde estos enormes bancos de datos. El análisis de estos conjuntos de datos generados es llevado a cabo a través de análisis de sistemas de información geográfica tridimensionales e incluso cuatridimensionales. El resultado de la prospección de paisajes arqueológicos es transferido de forma visual a la comunididad científica así como al gran público e interesados en la materia. En muchos casos una visualización de los resultados científicos e interpretaciones arqueológicas puede ser una herramienta más poderosa y adecuada para ilustrar y comunicar contextos arqueológicos complejos a un público mayor. Este artículo presenta de forma breve el gran potencial ofrecido por la combinación de métodos de prospección arqueológica de gran resolución a gran escala y unos flujos de trabajo estandarizados para integración, interpretación y visualización de datos. La estrategía propuesta proporciona un contexto para restos arqueológicos enmarcados en paisajes arqueológicos que viene a cambiar nuestra forma de entender monumentos ya conocidos. Pretendemos también superar los desafios que quedan con la ayuda de ejemplos sacados de excepcionales paisajes arqueológicos que son nuestros estudios de caso a prospectar.Editorial Universitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20162016-10-27book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/86294reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/862942026-06-13T07:49:27Z
score 15,301603

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