| Literature DB >> 33922122 |
Miguel Ángel Maté-González1,2,3,4, Cristina Sáez Blázquez2,5, Pedro Carrasco García2, Jesús Rodríguez-Hernández6, Jesús Fernández Hernández2, Javier Vallés Iriso6,7, Yolanda Torres1, Libertad Troitiño Torralba3,8, Lloyd A Courtenay2, Diego González-Aguilera2,3, Serafín López-Cuervo1, Julián Aguirre de Mata1, Jesús Velasco Gómez1, Marco Piras4, Andrea di Filippo9, José Yravedra6,7, Maximiliano Fernández Fernández3,10, Teresa Chapa6, Gonzalo Ruiz Zapatero6, Jesús R Álvarez-Sanchís3,6.
Abstract
This research focuses on the study of the ruins of a large building known as "El Torreón" (the Tower), belonging to the Ulaca oppidum (Solosancho, Province of Ávila, Spain). Different remote sensing and geophysical approaches have been used to fulfil this objective, providing a better understanding of the building's functionality in this town, which belongs to the Late Iron Age (ca. 300-50 BCE). In this sense, the outer limits of the ruins have been identified using photogrammetry and convergent drone flights. An additional drone flight was conducted in the surrounding area to find additional data that could be used for more global interpretations. Magnetometry was used to analyze the underground bedrock structure and ground penetrating radar (GPR) was employed to evaluate the internal layout of the ruins. The combination of these digital methodologies (surface and underground) has provided a new perspective for the improved interpretation of "El Torreón" and its characteristics. Research of this type presents additional guidelines for better understanding of the role of this structure with regards to other buildings in the Ulaca oppidum. The results of these studies will additionally allow archaeologists to better plan future interventions while presenting new data that can be used for the interpretation of this archaeological complex on a larger scale.Entities:
Keywords: geophysical approaches; oppidum; remote sensing techniques; vettones
Year: 2021 PMID: 33922122 DOI: 10.3390/s21092934
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576