Nicodemo Abate
Biographic Data
| ID | 4420046 |
|---|---|
| NAME | Nicodemo Abate |
| GIVEN NAMES | Nicodemo |
| FAMILY NAME | Abate |
| SIGNATURE | ABATE N |
| AFFILIATIONS | National Research Council - Institute of Methodologies for Environmental Analysis |
| ORCID | 0000-0002-1462-2236 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Beyond the battlefield: Assessing cultural heritage damage in Tartus, Syria
Despite extensive documentation of conflict-related heritage destruction in Syria, little attention has been paid to areas beyond active combat zones. This study addresses that gap by examining the condition of archaeological sites in the coastal Governorate of Tartus — an understudied region with evidence of occupation from the Palaeolithic to the Medieval period, yet with fewer than 5% of its sites systematically excavated. Through the combined…
Bridging the gap between contemporary remote sensing and archaeology: The S.A.D.A. platform for accessible remote-sensing image analysis
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…
Generative AI and 3D Heritage Virtual Reconstructions: A Pragmatic Review
Recent advances in generative Artificial Intelligence (AI) have rapidly transformed research and practice across the Cultural Heritage domain. While several studies have investigated AI applications in documentation, analysis and dissemination, a focused and critical assessment of generative AI within 3D virtual reconstruction workflows is still lacking. This paper presents a systematic review of the literature addressing the use of generative AI…
From Lost Trenches to Living Data: Using UAV‐Mounted LiDAR to Relocate and Contextualize Legacy Excavations at Saqsaywaman, Cusco, Peru
LiDAR has transformed archaeological prospection by enabling the detection of sites and landscape features at unprecedented scales, particularly in environments with heavy vegetation. However, its methodological and analytical application at the excavation scale remains underdeveloped. In this paper, we develop a prospection‐oriented workflow that implements UAV‐mounted LiDAR to recontextualize legacy excavations within modern geospatial framewor…
Assessing the Relationship Between Erosion Risk, Climate Change and Archaeological Heritage: Medieval Sites in the Basilicata Region, Italy
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…
Satellite Remote Sensing for Cultural Heritage Protection: The Consensus Platform and AI-Assisted Bibliometric Analysis of Scientific and Grey Literature (2010–2025)
Satellite remote sensing has rapidly evolved from an experimental support tool into a structural component of preventive archaeology and cultural heritage governance. Drawing on scientific publications and policy-oriented grey literature from 2010–2025, this study provides an integrated review of how optical, SAR, and multi-sensor satellite data are used to detect archaeological sites, monitor landscape and structural change, and support risk-inf…
Urbes Revelantur. New Remote and Proximal Sensing investigations in the abandoned city of Suasa (Marche, Italy)
Prospection with UAV-LiDAR, multispectral, and thermal imaging, Integration of geophysical surveys and aerial photography to refine urban layouts, Addressing methodological challenges in clay-rich soils with advanced technologies
An Open-Source Machine Learning–Based Methodological Approach for Processing High-Resolution UAS LiDAR Data in Archaeological Contexts: A Case Study from Epirus, Greece
This study shows and discusses an innovative approach devised for archaeological feature detection using unmanned aerial system (UAS) LiDAR and an open-source probabilistic machine learning framework. The methodology employs a Random Forest classification algorithm within CloudCompare’s 3DMASC plugin to analyse dense LiDAR point clouds. The main steps include classifier training, hyperparameter adjustment and point cloud segmentation to produce d…
Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)
Potential Impact of Using ChatGPT-3.5 in the Theoretical and Practical Multi-Level Approach to Open-Source Remote Sensing Archaeology, Preliminary Considerations
This study aimed to evaluate the impact of using an AI model, specifically ChatGPT-3.5, in remote sensing (RS) applied to archaeological research. It assessed the model’s abilities in several aspects, in accordance with a multi-level analysis of its usefulness: providing answers to both general and specific questions related to archaeological research; identifying and referencing the sources of information it uses; recommending appropriate tools …
Reconstruction of archaeological contexts through the integrated use of airborne LiDAR and geophysical survey: The case study of San Pietro Infine (Caserta, southern Italy)
San Pietro Infine (Caserta, southern Italy) is an archaeological area of significant historical interest as it is in the vicinity of the Roman site of Ad Flexum. Based on historical sources, the site would correspond to the junction of a road axis that, during the Roman colonization (3rd century BCE), was crossed by the Via Latina. At the intersection of these two roads, which coexisted for a time, a post station was built, most likely later repl…
Potential Impact of Using ChatGPT-3.5 in the Theoretical and Practical Multi-Level Approach to Open-Source Remote Sensing Archaeology, Preliminary Considerations
This study aimed to evaluate the impact of using an AI model, specifically ChatGPT-3.5, in remote sensing (RS) applied to archaeological research. It assessed the model’s abilities in several aspects, in accordance with a multi-level analysis of its usefulness: providing answers to both general and specific questions related to archaeological research; identifying and referencing the sources of information it uses; recommending appropriate tools …
An Open-Source Machine Learning–Based Methodological Approach for Processing High-Resolution UAS LiDAR Data in Archaeological Contexts: A Case Study from Epirus, Greece
This study shows and discusses an innovative approach devised for archaeological feature detection using unmanned aerial system (UAS) LiDAR and an open-source probabilistic machine learning framework. The methodology employs a Random Forest classification algorithm within CloudCompare’s 3DMASC plugin to analyse dense LiDAR point clouds. The main steps include classifier training, hyperparameter adjustment and point cloud segmentation to produce d…
Potential Impact of Using ChatGPT-3.5 in the Theoretical and Practical Multi-Level Approach to Open-Source Remote Sensing Archaeology, Preliminary Considerations
This study aimed to evaluate the impact of using an AI model, specifically ChatGPT-3.5, in remote sensing (RS) applied to archaeological research. It assessed the model’s abilities in several aspects, in accordance with a multi-level analysis of its usefulness: providing answers to both general and specific questions related to archaeological research; identifying and referencing the sources of information it uses; recommending appropriate tools …
Reconstruction of archaeological contexts through the integrated use of airborne LiDAR and geophysical survey: The case study of San Pietro Infine (Caserta, southern Italy)
San Pietro Infine (Caserta, southern Italy) is an archaeological area of significant historical interest as it is in the vicinity of the Roman site of Ad Flexum. Based on historical sources, the site would correspond to the junction of a road axis that, during the Roman colonization (3rd century BCE), was crossed by the Via Latina. At the intersection of these two roads, which coexisted for a time, a post station was built, most likely later repl…
Urbes Revelantur. New Remote and Proximal Sensing investigations in the abandoned city of Suasa (Marche, Italy)
Prospection with UAV-LiDAR, multispectral, and thermal imaging, Integration of geophysical surveys and aerial photography to refine urban layouts, Addressing methodological challenges in clay-rich soils with advanced technologies
An Open-Source Machine Learning–Based Methodological Approach for Processing High-Resolution UAS LiDAR Data in Archaeological Contexts: A Case Study from Epirus, Greece
This study shows and discusses an innovative approach devised for archaeological feature detection using unmanned aerial system (UAS) LiDAR and an open-source probabilistic machine learning framework. The methodology employs a Random Forest classification algorithm within CloudCompare’s 3DMASC plugin to analyse dense LiDAR point clouds. The main steps include classifier training, hyperparameter adjustment and point cloud segmentation to produce d…
Unveiling medieval landscapes: A virtual reconstruction through LiDAR and extended matrix methodology, the case of Torre di Castiglione (BA)
Beyond the battlefield: Assessing cultural heritage damage in Tartus, Syria
Despite extensive documentation of conflict-related heritage destruction in Syria, little attention has been paid to areas beyond active combat zones. This study addresses that gap by examining the condition of archaeological sites in the coastal Governorate of Tartus — an understudied region with evidence of occupation from the Palaeolithic to the Medieval period, yet with fewer than 5% of its sites systematically excavated. Through the combined…
Bridging the gap between contemporary remote sensing and archaeology: The S.A.D.A. platform for accessible remote-sensing image analysis
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…
Generative AI and 3D Heritage Virtual Reconstructions: A Pragmatic Review
Recent advances in generative Artificial Intelligence (AI) have rapidly transformed research and practice across the Cultural Heritage domain. While several studies have investigated AI applications in documentation, analysis and dissemination, a focused and critical assessment of generative AI within 3D virtual reconstruction workflows is still lacking. This paper presents a systematic review of the literature addressing the use of generative AI…
From Lost Trenches to Living Data: Using UAV‐Mounted LiDAR to Relocate and Contextualize Legacy Excavations at Saqsaywaman, Cusco, Peru
LiDAR has transformed archaeological prospection by enabling the detection of sites and landscape features at unprecedented scales, particularly in environments with heavy vegetation. However, its methodological and analytical application at the excavation scale remains underdeveloped. In this paper, we develop a prospection‐oriented workflow that implements UAV‐mounted LiDAR to recontextualize legacy excavations within modern geospatial framewor…
Assessing the Relationship Between Erosion Risk, Climate Change and Archaeological Heritage: Medieval Sites in the Basilicata Region, Italy
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…
Satellite Remote Sensing for Cultural Heritage Protection: The Consensus Platform and AI-Assisted Bibliometric Analysis of Scientific and Grey Literature (2010–2025)
Satellite remote sensing has rapidly evolved from an experimental support tool into a structural component of preventive archaeology and cultural heritage governance. Drawing on scientific publications and policy-oriented grey literature from 2010–2025, this study provides an integrated review of how optical, SAR, and multi-sensor satellite data are used to detect archaeological sites, monitor landscape and structural change, and support risk-inf…
Archaeological Research and Protection (11 works) · 3D Surveying and Cultural Heritage (9 works) · Cultural heritage (4 works) · Archaeology (3 works) · Conservation Techniques and Studies (3 works) · Geography (3 works) · Lidar (3 works) · Aerial photography (2 works) · Archaeology and ancient environmental studies (2 works) · Computer Science (2 works)