A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography

The 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 o...

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Autores principales:	Antonio J. Ortiz-Villarejo, Luís-M. Gutiérrez Soler
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	structure from motion DEM LiDAR UAV remote sensing archaeology GIS Science Q
Acceso en línea:	https://doaj.org/article/09436a04e12e4328bd58097e3c3a7835
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spelling	oai:doaj.org-article:09436a04e12e4328bd58097e3c3a78352021-11-11T18:52:20ZA Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography10.3390/rs132142702072-4292https://doaj.org/article/09436a04e12e4328bd58097e3c3a78352021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4270https://doaj.org/toc/2072-4292The 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.Antonio J. Ortiz-VillarejoLuís-M. Gutiérrez SolerMDPI AGarticlestructure from motionDEMLiDARUAVremote sensing archaeologyGISScienceQENRemote Sensing, Vol 13, Iss 4270, p 4270 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	structure from motion DEM LiDAR UAV remote sensing archaeology GIS Science Q
spellingShingle	structure from motion DEM LiDAR UAV remote sensing archaeology GIS Science Q Antonio J. Ortiz-Villarejo Luís-M. Gutiérrez Soler A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography
description	The 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.
format	article
author	Antonio J. Ortiz-Villarejo Luís-M. Gutiérrez Soler
author_facet	Antonio J. Ortiz-Villarejo Luís-M. Gutiérrez Soler
author_sort	Antonio J. Ortiz-Villarejo
title	A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography
title_short	A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography
title_full	A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography
title_fullStr	A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography
title_full_unstemmed	A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography
title_sort	low-cost, easy-way workflow for multi-scale archaeological features detection combining lidar and aerial orthophotography
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/09436a04e12e4328bd58097e3c3a7835
work_keys_str_mv	AT antoniojortizvillarejo alowcosteasywayworkflowformultiscalearchaeologicalfeaturesdetectioncombininglidarandaerialorthophotography AT luismgutierrezsoler alowcosteasywayworkflowformultiscalearchaeologicalfeaturesdetectioncombininglidarandaerialorthophotography AT antoniojortizvillarejo lowcosteasywayworkflowformultiscalearchaeologicalfeaturesdetectioncombininglidarandaerialorthophotography AT luismgutierrezsoler lowcosteasywayworkflowformultiscalearchaeologicalfeaturesdetectioncombininglidarandaerialorthophotography
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A Low-Cost, Easy-Way Workflow for Multi-Scale Archaeological Features Detection Combining LiDAR and Aerial Orthophotography

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