Articolo in rivista, 2023, ENG, 10.1080/08123985.2023.2242885

Integrated use of GIS and remote sensing techniques for landscape-scale archaeological analysis: the case study of Metaponto, Basilicata, Italy

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

Keywords

archaeology, geophysics, GIS, remote sensing, satellite, UAS

CNR authors

Masini Nicola, Roubis Dimitris, Lasaponara Rosa, Sileo Maria, Abate Nicodemo

CNR institutes

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 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