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A low-cost, easy-wayworkflow for multi-scale archaeological features detection combining LiDAR and aerial orthophotography

dc.contributor.authorOrtiz Villarejo, Antonio Jesús
dc.contributor.authorGutiérrez Soler, Luis María
dc.date.accessioned2025-01-13T08:22:29Z
dc.date.available2025-01-13T08:22:29Z
dc.date.issued2021-10-24
dc.descriptionThis is the peer reviewed version of the following article: [Ortiz-Villarejo, A. J., & Gutiérrez-Soler, L. M. A Low-Cost, Easy-WayWorkflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography. Remote Sens. 2021, 13, 4270], which has been published in final form at [https://doi.org/10.3390/rs13214270] This article may be used for non-commercial purposes in accordance with MDPI terms and conditions for use of self-archived versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from MDPI or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to MDPI version of record on MDPI online library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than MDPI online library must be prohibited.es_ES
dc.description.abstractThe difficulty of obtaining funding often places the continuity of research projects at risk, forcing researchers to resort to low-cost methodologies. Such methodologies sometimes require a high degree of technical knowledge which, in many cases, poses an insurmountable obstacle to the development of a project. This article shows a low-cost, easy-way methodology for diachronically analysing terrain in search of archaeological evidence on different scales (micro and semi-micro) in both already known and new archaeological sites through the analysis of orthophotographs taken with UAVs, the DEMs generated from them, and public LiDAR data. It allows researchers with small budgets but with a basic knowledge of GIS and photogrammetry to undertake some aspects of their project without necessarily having to call on the assistance or support of specialists. Thanks to this methodology, the researcher will be able to continue until they are able to obtain the funding that will enable them to take their research further, with specialists. This article presents the first conclusions obtained after applying the proposed methodology at the Giribaile (Vilches, Spain) archaeological site-a site of interest in its territory which possibly functioned as an advance defensive post for the town, a hypothesis based on the towers and numerous internal structures that have been identified.es_ES
dc.description.sponsorshipThis research was funded by the Ministerio de Economía y Competitividad (Spain); “Ciudad fortificada de Giribaile, estudios de poliorcética. El caso de la fortificación de compartimentos de tipo barrera (HAR2016-77750-P)”, I+D Projects. This paper has been granted by the Research Group PAIDI-HUM357 (GIPAJ).es_ES
dc.identifier.citationOrtiz-Villarejo, A.J.; Gutiérrez Soler, L.-M. A Low-Cost, Easy-WayWorkflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography. Remote Sens. 2021, 13, 4270. https://doi.org/10.3390/ rs13214270es_ES
dc.identifier.issn2072-4292es_ES
dc.identifier.otherhttps://doi.org/10.3390/rs13214270es_ES
dc.identifier.urihttps://www.mdpi.com/2072-4292/13/21/4270es_ES
dc.identifier.urihttps://hdl.handle.net/10953/3851
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.ispartofRemote Sensing 13 (2021) 4270es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectstructure from motiones_ES
dc.subjectDEMes_ES
dc.subjectLiDARes_ES
dc.subjectUAVes_ES
dc.subjectremote sensing archaeologyes_ES
dc.subjectGISes_ES
dc.titleA low-cost, easy-wayworkflow for multi-scale archaeological features detection combining LiDAR and aerial orthophotographyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES

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