Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii
[EN] The study described below aims to confirm the potential of UAV-based multispectral imagery as a flexible and cost-effective tool to detect possible buried archaeological structures, expanding upon previous approaches based on satellite or traditional airborne data. In parallel, the authors inve...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| 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:10251/231905 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/231905 |
| Access Level: | acceso abierto |
| Palabra clave: | Multispectral data Aerial Remote Sensing Unmanned aerial vehicle (UAV) Spectral indices Index maps Archaeological investigations Datos multiespectrales Teledetección aérea Vehículo aéreo no tripulado (UAV) Índices espectrales Mapas de índices Investigaciones arqueológicas |
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España |
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| dc.title.none.fl_str_mv |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii Investigación de elementos no visibles en sitios arqueológicos: evaluación de la teledetección aérea con UAV en Pompeya |
| title |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii |
| spellingShingle |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii Santoro, Valentina Multispectral data Aerial Remote Sensing Unmanned aerial vehicle (UAV) Spectral indices Index maps Archaeological investigations Datos multiespectrales Teledetección aérea Vehículo aéreo no tripulado (UAV) Índices espectrales Mapas de índices Investigaciones arqueológicas |
| title_short |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii |
| title_full |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii |
| title_fullStr |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii |
| title_full_unstemmed |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii |
| title_sort |
Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in Pompeii |
| dc.creator.none.fl_str_mv |
Santoro, Valentina Wu, Zhiguo Patrucco, Giacomo Spanò, Antonia |
| author |
Santoro, Valentina |
| author_facet |
Santoro, Valentina Wu, Zhiguo Patrucco, Giacomo Spanò, Antonia |
| author_role |
author |
| author2 |
Wu, Zhiguo Patrucco, Giacomo Spanò, Antonia |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
Ministero dell'Istruzione, dell'Università e della Ricerca Repositorio Institucional de la Universitat Politècnica de València Riunet |
| dc.subject.none.fl_str_mv |
Multispectral data Aerial Remote Sensing Unmanned aerial vehicle (UAV) Spectral indices Index maps Archaeological investigations Datos multiespectrales Teledetección aérea Vehículo aéreo no tripulado (UAV) Índices espectrales Mapas de índices Investigaciones arqueológicas |
| topic |
Multispectral data Aerial Remote Sensing Unmanned aerial vehicle (UAV) Spectral indices Index maps Archaeological investigations Datos multiespectrales Teledetección aérea Vehículo aéreo no tripulado (UAV) Índices espectrales Mapas de índices Investigaciones arqueológicas |
| description |
[EN] The study described below aims to confirm the potential of UAV-based multispectral imagery as a flexible and cost-effective tool to detect possible buried archaeological structures, expanding upon previous approaches based on satellite or traditional airborne data. In parallel, the authors investigate the role of such imagery within a conjectured workflow that incorporates multispectral analysis as a preliminary, extensive, and non-invasive step in archaeological prospection strategies. The study evaluates the performance of a commercial sensor and analyses spectral signatures by generating index maps within the significant context of Iulia Felix Praedia in Pompeii (Italy). A significant opportunity was the possibility of acquiring multispectral data in the hortus area, previously investigated through non-invasive geophysical surveys and archaeological excavations. The UAV photogrammetric flight, as well as the subsequent analyses, focused on the visual interpretation and geolocated examination of vegetation and soil index maps, accurately selected among those available, considering the UAV-acquired band dataset. This approach enhanced the features of the complex hortus environment, where natural elements alternate with numerous man-made structures. These analyses led to the detection of anomalies consistent with those previously identified by the aforementioned investigations, alongside additional anomalies distributed across the study area. The detected anomalies were further analysed and synthesised; this involved generating a confidence map based on the frequency of anomaly occurrence across the analysed index maps. The consistency between detected anomalies and previous investigations results underlines the potential for continued research on processing multispectral data captured by UAVs. Thanks to such data, a valuable alternative to satellite imagery was provided due to their much higher spatial resolution, enabling rapid and cost-effective campaigns to plan more targeted geophysical and archaeological investigations. The findings also validate the hypothesised workflow involving the use of multispectral imagery as a preliminary, extensive, and non-invasive tool to define excavation areas perimeters and, subsequently, guide targeted analyses. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025-09-22 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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article |
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https://riunet.upv.es/handle/10251/231905 |
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https://riunet.upv.es/handle/10251/231905 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Ministero dell'Istruzione dell'Università e della Ricerca, Italia https://doi.org/10.13039/501100003407 PNRR–NGEU DM 118%2F2023 |
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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/ |
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info:eu-repo/semantics/openAccess |
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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/ |
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openAccess |
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application/pdf |
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Universitat Politècnica de València |
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Universitat Politècnica de València |
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reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname:Universitat Politècnica de València (UPV) |
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Universitat Politècnica de València (UPV) |
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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
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Investigations of non-visible features in archaeological sites: testing aerial remote sensing with UAV in PompeiiInvestigación de elementos no visibles en sitios arqueológicos: evaluación de la teledetección aérea con UAV en PompeyaSantoro, ValentinaWu, ZhiguoPatrucco, GiacomoSpanò, AntoniaMultispectral dataAerial Remote SensingUnmanned aerial vehicle (UAV)Spectral indicesIndex mapsArchaeological investigationsDatos multiespectralesTeledetección aéreaVehículo aéreo no tripulado (UAV)Índices espectralesMapas de índicesInvestigaciones arqueológicas[EN] The study described below aims to confirm the potential of UAV-based multispectral imagery as a flexible and cost-effective tool to detect possible buried archaeological structures, expanding upon previous approaches based on satellite or traditional airborne data. In parallel, the authors investigate the role of such imagery within a conjectured workflow that incorporates multispectral analysis as a preliminary, extensive, and non-invasive step in archaeological prospection strategies. The study evaluates the performance of a commercial sensor and analyses spectral signatures by generating index maps within the significant context of Iulia Felix Praedia in Pompeii (Italy). A significant opportunity was the possibility of acquiring multispectral data in the hortus area, previously investigated through non-invasive geophysical surveys and archaeological excavations. The UAV photogrammetric flight, as well as the subsequent analyses, focused on the visual interpretation and geolocated examination of vegetation and soil index maps, accurately selected among those available, considering the UAV-acquired band dataset. This approach enhanced the features of the complex hortus environment, where natural elements alternate with numerous man-made structures. These analyses led to the detection of anomalies consistent with those previously identified by the aforementioned investigations, alongside additional anomalies distributed across the study area. The detected anomalies were further analysed and synthesised; this involved generating a confidence map based on the frequency of anomaly occurrence across the analysed index maps. The consistency between detected anomalies and previous investigations results underlines the potential for continued research on processing multispectral data captured by UAVs. Thanks to such data, a valuable alternative to satellite imagery was provided due to their much higher spatial resolution, enabling rapid and cost-effective campaigns to plan more targeted geophysical and archaeological investigations. The findings also validate the hypothesised workflow involving the use of multispectral imagery as a preliminary, extensive, and non-invasive tool to define excavation areas perimeters and, subsequently, guide targeted analyses.[ES] El estudio descrito abajo tiene como objetivo confirmar el potencial de la imagen multiespectral basada en vehículo aéreo no tripulado (UAV) como una herramienta flexible y rentable para detectar estructuras arqueológicas enterradas, ampliando enfoques previos basados en datos satelitales o aerotransportados tradicionales. Paralelamente, se investiga el papel de esta tecnología dentro de un flujo de trabajo que incorpora el análisis multiespectral como un paso preliminar, extenso y no invasivo, en estrategias de prospección arqueológica. Se evalúa el rendimiento de un sensor comercial y se analizan firmas espectrales mediante la generación de mapas índice en el contexto de Iulia Felix Praedia, en Pompeya (Italia). La oportunidad clave fue la adquisición de datos multiespectrales en el área del hortus, previamente investigada mediante estudios geofísicos no invasivos y excavaciones arqueológicas. El vuelo fotogramétrico con UAV, así como los análisis posteriores, se centraron en la interpretación visual y el examen geolocalizado de mapas índice de vegetación y suelo, seleccionados entre las bandas adquiridas por el UAV. Este enfoque permitió mejorar la caracterización del complejo entorno del hortus, donde elementos naturales alternan con estructuras hechas por el hombre. Estos análisis detectaron anomalías consistentes con las identificadas en investigaciones anteriores, además de nuevas anomalías distribuidas por toda el área estudiada. Una síntesis adicional generó un mapa de confianza basado en la frecuencia de aparición de anomalías en los mapas índice analizados. La concordancia entre anomalías detectadas y resultados previos subraya el potencial para continuar investigando el procesamiento de datos multiespectrales capturados por UAV. Estos datos ofrecen una alternativa valiosa a la imagen satelital debido a su mayor resolución espacial, permitiendo campañas rápidas y rentables para planificar investigaciones geofísicas y arqueológicas más específicas. Los resultados también validan el flujo de trabajo que usa la imagen multiespectral como herramienta preliminar, extensa y no invasiva, para definir perímetros de excavación y guiar análisis focalizados.Universitat Politècnica de ValènciaMinistero dell'Istruzione, dell'Università e della RicercaRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-09-22journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/231905reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinistero dell'Istruzione dell'Università e della Ricerca, Italia https://doi.org/10.13039/501100003407 PNRR–NGEU DM 118%2F2023open 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:10251/2319052026-06-13T07:49:27Z |
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15,812429 |