Articolo in rivista, 2023, ENG, 10.1080/08123985.2023.2242885
Nicodemo Abate, Roubis D, Sogliani F, Vitale V, Sileo M, Arzu P, Lasaponara R, Masini N
a. CNR-ISPC, Contrada S. Loja, Potenza, Italy b. University of Basilicata, DICEM, Matera, Italy c. CNR-IMAA, Contrada S. Loja, Potenza, Italy
The study focuses on the integrated use of multiscale and multisensor remote sensing techniques and big data analysis for the identification of buried archaeological remains or areas of potential archaeological interest. Satellite multispectral data (at very high and high resolution), drone based visible, multispectral, and thermal imagery, and geophysical prospecting (gradiometer) were used. The ancient city of Metaponto was chosen as case study, as it was a very important city in the formative panorama of Italian Magna Graecia and it also is one of the most important and best preserved archaeological sites in southern Italy. The analysis of remote sensing data from different sensors, with different resolutions, and referable to different physical parameters, allowed to deepen archaeological knowledge on a landscape scale, as well as on a site scale, going from the analysis of traces of the ancient landscape (e.g. palaeo-channels, canalisation system, main roads), to the discovery of small features (e.g. secondary roads, houses, facilities).
Exploration geophysics (Melb.) 55 (1), pp. 51–62
archaeology, geophysics, GIS, remote sensing, satellite, UAS
Masini Nicola, Roubis Dimitris, Lasaponara Rosa, Sileo Maria, Abate Nicodemo
IMAA – Istituto di metodologie per l'analisi ambientale, ISPC – Istituto di Scienze del Patrimonio Culturale
ID: 491658
Year: 2023
Type: Articolo in rivista
Creation: 2024-01-17 11:43:30.000
Last update: 2024-01-29 15:59:09.000
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1080/08123985.2023.2242885
URL: https://www.tandfonline.com/doi/abs/10.1080/08123985.2023.2242885
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:491658
DOI: 10.1080/08123985.2023.2242885
ISI Web of Science (WOS): 001051141700001
Scopus: 2-s2.0-85168324111