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Gabriele Ciccone

Biographic Data

ID4420044
NAMEGabriele Ciccone
GIVEN NAMESGabriele
FAMILY NAMECiccone
SIGNATURECICCONE G
AFFILIATIONSUniversity of Rome Tor Vergata
ORCID0000-0002-4341-9296
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS3
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Integrated Use of Thermal and Multispectral UAV sensors for the Analysis of Cascini’s Nineteenth-Century Façade Fresco at the Church of Madonna del Rosario, Lagonegro (PZ).

    Open Access•Gabriele Ciccone, Felice Perciante•ARTICLE•Digital Applications in…•2026

  • Bridging the gap between contemporary remote sensing and archaeology: The S.A.D.A. platform for accessible remote-sensing image analysis

    Open Access•Gabriele Ciccone, Nicodemo Abate et al.•ARTICLE•Journal of Cultural Heritage•2026

    Remote sensing now supplies abundant, high-resolution imagery for archaeological prospection, yet many projects still underuse these data due to technical barriers. This paper presents S.A.D.A. (Smart Anomaly Detection Assistant), an open-source, GUI driven application that integrates common pre-processing (index calculation, histogram adjustment, PCA), multiple anomaly-detection families (Standard, RX, Isolation Forest, LOF, one-class SVM), unsu…

  • Assessing the Relationship Between Erosion Risk, Climate Change and Archaeological Heritage: Medieval Sites in the Basilicata Region, Italy

    Open Access•Alessia Frisetti, Nicodemo Abate et al.•ARTICLE•Heritage•2026

    Climate change has among its effects the increasing frequency and intensity of natural disasters, such as landslides, floods, erosion and fires, with clear implications on both natural and anthropic hazards and risks. These natural phenomena pose a growing threat to archaeological heritage through increased rates of soil erosion, flooding, and landslides. This study presents a multidisciplinary approach to assess the erosion risk affecting mediev…

  • Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)

    Open Access•Gabriele Ciccone, Alessia Frisetti et al.•ARTICLE•Digital Applications in…•2025•References: 1

  • ChatGPT as a Digital Assistant for Archaeology: Insights from the Smart Anomaly Detection Assistant Development

    Open Access•Gabriele Ciccone•ARTICLE•Heritage•2024•Cited by: 1•References: 7

    The introduction of generative AI has the potential to radically transform various fields of research, including archaeology. This study explores the potential of generative AI, specifically ChatGPT, in developing a computer application for analyzing aerial and satellite images to detect archaeological anomalies. The main focus was not on developing the application itself but on evaluating ChatGPT’s effectiveness as an IT assistant for humanistic…

  • Thermal Analysis of Evapotranspiration in Cultivated Fields for the Detection of Archaeological Anomalies

    Open Access•Gabriele Ciccone•ARTICLE•Archaeological Prospection•2024•Cited by: 2•References: 4

    Archaeological aerial thermography has traditionally focused on bare ground terrain; however, recent developments in drone technology have prompted a reconsideration of thermal analysis on cultivated fields. This study investigates three different sites using drones equipped with thermal, RGB and multispectral sensors to identify archaeological anomalies. This research challenges the traditional focus of thermal cameras on vegetation‐free terrain…

  • Thermal Analysis of Evapotranspiration in Cultivated Fields for the Detection of Archaeological Anomalies

    Open Access•Gabriele Ciccone•ARTICLE•Archaeological Prospection•2024•Cited by: 2•References: 4

    Archaeological aerial thermography has traditionally focused on bare ground terrain; however, recent developments in drone technology have prompted a reconsideration of thermal analysis on cultivated fields. This study investigates three different sites using drones equipped with thermal, RGB and multispectral sensors to identify archaeological anomalies. This research challenges the traditional focus of thermal cameras on vegetation‐free terrain…

  • ChatGPT as a Digital Assistant for Archaeology: Insights from the Smart Anomaly Detection Assistant Development

    Open Access•Gabriele Ciccone•ARTICLE•Heritage•2024•Cited by: 1•References: 7

    The introduction of generative AI has the potential to radically transform various fields of research, including archaeology. This study explores the potential of generative AI, specifically ChatGPT, in developing a computer application for analyzing aerial and satellite images to detect archaeological anomalies. The main focus was not on developing the application itself but on evaluating ChatGPT’s effectiveness as an IT assistant for humanistic…

  • ChatGPT as a Digital Assistant for Archaeology: Insights from the Smart Anomaly Detection Assistant Development

    Open Access•Gabriele Ciccone•ARTICLE•Heritage•2024•Cited by: 1•References: 7

    The introduction of generative AI has the potential to radically transform various fields of research, including archaeology. This study explores the potential of generative AI, specifically ChatGPT, in developing a computer application for analyzing aerial and satellite images to detect archaeological anomalies. The main focus was not on developing the application itself but on evaluating ChatGPT’s effectiveness as an IT assistant for humanistic…

  • Thermal Analysis of Evapotranspiration in Cultivated Fields for the Detection of Archaeological Anomalies

    Open Access•Gabriele Ciccone•ARTICLE•Archaeological Prospection•2024•Cited by: 2•References: 4

    Archaeological aerial thermography has traditionally focused on bare ground terrain; however, recent developments in drone technology have prompted a reconsideration of thermal analysis on cultivated fields. This study investigates three different sites using drones equipped with thermal, RGB and multispectral sensors to identify archaeological anomalies. This research challenges the traditional focus of thermal cameras on vegetation‐free terrain…

  • Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)

    Open Access•Gabriele Ciccone, Alessia Frisetti et al.•ARTICLE•Digital Applications in…•2025•References: 1

  • Integrated Use of Thermal and Multispectral UAV sensors for the Analysis of Cascini’s Nineteenth-Century Façade Fresco at the Church of Madonna del Rosario, Lagonegro (PZ).

    Open Access•Gabriele Ciccone, Felice Perciante•ARTICLE•Digital Applications in…•2026

  • Bridging the gap between contemporary remote sensing and archaeology: The S.A.D.A. platform for accessible remote-sensing image analysis

    Open Access•Gabriele Ciccone, Nicodemo Abate et al.•ARTICLE•Journal of Cultural Heritage•2026

    Remote sensing now supplies abundant, high-resolution imagery for archaeological prospection, yet many projects still underuse these data due to technical barriers. This paper presents S.A.D.A. (Smart Anomaly Detection Assistant), an open-source, GUI driven application that integrates common pre-processing (index calculation, histogram adjustment, PCA), multiple anomaly-detection families (Standard, RX, Isolation Forest, LOF, one-class SVM), unsu…

  • Assessing the Relationship Between Erosion Risk, Climate Change and Archaeological Heritage: Medieval Sites in the Basilicata Region, Italy

    Open Access•Alessia Frisetti, Nicodemo Abate et al.•ARTICLE•Heritage•2026

    Climate change has among its effects the increasing frequency and intensity of natural disasters, such as landslides, floods, erosion and fires, with clear implications on both natural and anthropic hazards and risks. These natural phenomena pose a growing threat to archaeological heritage through increased rates of soil erosion, flooding, and landslides. This study presents a multidisciplinary approach to assess the erosion risk affecting mediev…

Archaeological Research and Protection (4 works) · 3D Surveying and Cultural Heritage (3 works) · Conservation Techniques and Studies (3 works) · Anomaly detection (2 works) · Archaeology (2 works) · Archaeology and ancient environmental studies (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Geography (2 works) · Abandonment (legal (1 works)

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