Article
Anthropology
Christianne L. Fernee, Konstantinos P. Trimmis
Summary: This paper introduces the application of Bayesian multilevel modelling for detecting variability in archaeological data, using case studies from Croatia and Greece. It discusses the results of the multilevel models and proposes extensions for future research.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2021)
Article
Environmental Sciences
Nicodemo Abate, Alessia Frisetti, Federico Marazzi, Nicola Masini, Rosa Lasaponara
Summary: Unmanned aerial vehicles are the most commonly used solution for obtaining cultural heritage data. This study used aerial surveys to investigate the archaeological site of San Vincenzo al Volturno in Italy, confirming and adding new data to archaeologists' assumptions about the abbey during different construction phases.
Article
Environmental Sciences
Esther Rodriguez Gonzalez, Pablo Paniego Diaz, Sebastian Celestino Perez
Summary: In the Guadiana basin, human impact has significantly transformed river landscapes, leading to a disconnection between archaeological sites and their physical environment. By combining LiDAR and APSFR data, a methodological approach was designed to analyze settlement patterns and the knowledge of ancient societies regarding their environment.
Article
Anthropology
Isaac Ogloblin Ramirez, Ehud Galili, Ruth Shahack-Gross
Summary: The field of submerged prehistory has seen significant advancements in the past few decades, with new methods for detecting underwater settlements being developed. However, simple and cost-effective methods for locating submerged sites are still rare. Research in Israel has led to the development of a new method that aims to identify and study submerged settlements by analyzing sediment cores collected using a water-jet core sampling system.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2021)
Article
Environmental Studies
Maria Alicandro, Elena Candigliota, Donatella Dominici, Francesco Immordino, Fabrizio Masin, Nicole Pascucci, Raimondo Quaresima, Sara Zollini
Summary: Remote sensing techniques have been important in cultural heritage studies and management. This study tested the new hyperspectral sensor PRISMA by the Italian Space Agency on archaeological sites and compared its capabilities with the well-known Sentinel-2 Multi-Spectral Instrument. The results showed that PRISMA can provide more spectral information and a more reliable feature extraction.
Article
Soil Science
Smita Rani Swain, Poulamee Chakraborty, Niranjan Panigrahi, Hitesh Bhogilal Vasava, Nukala Nagarjuna Reddy, Sourav Roy, Israr Majeed, Bhabani Sankar Das
Summary: This study utilized Sentinel-2 (S2) data and an ensemble modeling approach to enhance the estimation accuracy of soil textural fractions. Analysis of 63 different acquisition dates revealed that the combination of multiple acquisition dates significantly improved the prediction accuracies for sand, silt, and clay contents.
SOIL & TILLAGE RESEARCH
(2021)
Article
Anthropology
David E. Friesem, Isaac Ogloblin-Ramirez, Roni Zuckerman-Cooper, Elle Grono, Ehud Galili
Summary: The authors discuss new sediment coring at the Early Neolithic submerged site of Atlit-Yam, Israel, revealing stratified archaeological deposits 0.7-0.9m below the seabed, and demonstrate the potential of micro-geoarchaeological analysis to generate new chrono-stratigraphic data for the onset of Early Neolithic coastal occupation in the Eastern Mediterranean.
Article
Computer Science, Information Systems
Daniel Canedo, Joao Fonte, Luis Goncalves Seco, Marta Vazquez, Rita Dias, Tiago Do Pereiro, Joao Hipolito, Fernando Menendez-Marsh, Petia Georgieva, Antonio J. R. Neves
Summary: Mapping potential archaeological sites using remote sensing and AI is an efficient tool for project planning and fieldwork. This paper discusses the use of LiDAR data and data-centric AI to identify burial mounds. The challenge of exploring the landscape and identifying archaeological sites accurately is addressed by proposing a novel data-centric AI approach that preprocesses LiDAR data, annotates known burial mounds, and uses object embedding techniques for augmentation. The proposed approach achieved a 72.53% positive rate, reducing false positives and aiding archaeologists in the ground-truthing phase.
Article
Chemistry, Analytical
Diego Ronchi, Marco Limongiello, Emanuel Demetrescu, Daniele Ferdani
Summary: This paper presents a method for evaluating the role of 3D semantic visualizations in archeological research, using multispectral imagery captured by UAVs, subsurface geophysical surveys, and stratigraphic excavations. The information recorded by different methods is reconciled using the Extended Matrix and other open-source tools, allowing for transparent and reproducible results. The methodology is applied to a multidisciplinary investigation project at Tres Tabernae, a Roman site near Rome, where non-destructive technologies and excavation campaigns are used to explore the site and validate the approaches.
Article
Environmental Sciences
Iban Berganzo-Besga, Hector A. Orengo, Felipe Lumbreras, Miguel Carrero-Pazos, Joao Fonte, Benito Vilas-Estevez
Summary: This study introduces an algorithm that combines LiDAR and multispectral satellite data for large-scale automatic detection of burial mounds. By utilizing a combination of random forest and deep learning models, it significantly improves the detection rate and recall values compared to previous attempts, achieving the goal of detecting burial mounds across a wide area.
Review
Biodiversity Conservation
Anabela Paula, Albano Figueiredo, Fernando Pulido, Paula Castro
Summary: Agroforestry is a crucial socio-ecological system in Mediterranean countries, but is facing decline due to factors like land abandonment, resulting in a reduced provision of ecosystem services. To address this issue, Portugal has introduced new legislation to promote fire-smart landscapes through reconversion to traditional agroforestry, and has implemented a payment for ecosystem services scheme to monitor and guide managers. Remote sensing technology, particularly the use of freely accessible satellite images from the Copernicus Programme's Sentinel-2 satellite, has proven to be a valuable tool for assessing and monitoring agroforestry ecosystem services. However, higher-resolution satellite imagery may be required for smallholder landscapes, especially for carbon stock monitoring in the payment for ecosystem services schemes.
ECOLOGICAL INDICATORS
(2023)
Article
Anthropology
Alastair Key, David Roberts, Ivan Jaric
Summary: Archaeologists often do not find the first or last occurrences of past cultural phenomena, but understanding the 'start' and 'end' dates is crucial for understanding human behavior in the past. Optimal linear estimation (OLE) has been used to reconstruct the full temporal range of prehistoric archaeological technologies with limited data. By using additional frequentist techniques, archaeologists can account for reliability, search effort, and data scarcity to gain a more accurate understanding of the temporal range of past human behavior.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2021)
Article
Anthropology
Colin A. B. Wallace
Summary: This paper discusses the advantages and limitations of using archival photographs for photogrammetric 3D modeling of archaeological excavations, structures, and monuments. The research finds that, with proper processing and calibration methods, archival photographs can perform at a level equivalent to contemporary digital photographs. Additionally, the paper showcases the application of archival photographs archived by the American School of Classical Studies in Athens for reconstructing ancient sites.
ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES
(2022)
Article
Remote Sensing
Jorgen Hollesen, Malte Skov Jepsen, Hans Harmsen
Summary: Climate change has worsened the deterioration of heritage sites in Arctic and subarctic landscapes, while tourism contributes to the degradation of archaeological sites. Remote sensing and UAVs can provide non-invasive tools for cultural heritage managers to detect, monitor, and mitigate vulnerable sites.
Article
Environmental Sciences
Michele Meroni, Raphael d'Andrimont, Anton Vrieling, Dominique Fasbender, Guido Lemoine, Felix Rembold, Lorenzo Seguini, Astrid Verhegghen
Summary: The study extracted crop-specific land surface phenology (LSP) from Sentinel-1 and Sentinel-2 for major European crops, finding that the results from the two satellites were comparable and could provide relevant and at times complementary information at crop level.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Architecture
M. Sileo, F. T. Gizzi, A. Donvito, R. Lasaponara, F. Fiore, N. Masini
Summary: This paper presents a spatial and temporal multi-scale method applied to a rupestrian church in Matera to protect precious wall paintings by monitoring the relationships between indoor and outdoor environmental parameters.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2022)
Article
Environmental Sciences
Abdelaziz Elfadaly, K. Abutaleb, Doaa M. Naguib, Rosa Lasaponara
Summary: This study uses the latest data and platforms to study the land cover changes and flood impacts on archaeological sites in the Metaponto and Policoro areas of southern Italy. By using remote sensing data and analysis software, the results of the study can help reduce risks in heritage areas.
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
(2022)
Article
Archaeology
Abdelaziz Elfadaly, Ayat Hassan Shams, Walid Elbehery, Mahmoud Elftatry, Osama Wafa, Amira M. A. Hiekl, Penelope Wilson, Jay Silverstein, Mohamed A. R. Abouarab
Summary: This study aims to detect the long-term changes in the archaeological area of Burullus on the Mediterranean shoreline in the North Delta of Egypt. It has identified many lost archaeological sites and discovered two previously unknown potential sites. The reconstruction of the paleolandscape has shown the changing relationships between ancient settlements and waterways over time.
ARCHAEOLOGICAL PROSPECTION
(2022)
Article
Environmental Studies
Nicodemo Abate, Diego Ronchi, Valentino Vitale, Nicola Masini, Andrea Angelini, Francesco Giuri, Antonio Minervino Amodio, Andrea Maria Gennaro, Daniele Ferdani
Summary: This paper explores the potential of using integrated methods such as aerial LiDAR, aerial and terrestrial photogrammetry, terrestrial laser scanning, and archaeological survey to detect lost medieval settlements under canopy. The study focused on the site of Altanum in Italy, which was completely covered by vegetation. A comprehensive survey using LiDAR was conducted, followed by enhancement techniques and documentation of visible buildings using photogrammetry and laser scanning. The significant outcome was the creation of a GIS platform that integrated all data to delineate the settlement layout and produce datasets for knowledge and protection purposes.
Article
Archaeology
Abdelaziz Elfadaly, Khaled Abutaleb, Doaa M. Naguib, Wael Mostafa, Mohamed A. R. Abouarab, Aiman Ashmawy, Penelope Wilson, Rosa Lasaponara
Summary: Climate change and anthropogenic activities pose the main threats to heritage sites in the north Nile Delta of Egypt. Monitoring landscape changes near archaeological sites is crucial for decision-makers to mitigate the impact of natural events and human activities. Rising sea levels due to global warming are strongly endangering coastal heritage sites. This study focuses on identifying areas at risk of shoreline erosion or accretion in the northern shoreline of the Nile Delta, and reveals significant erosion over the past century. The findings highlight the urgent need to protect these irreplaceable heritage sites from submergence.
ARCHAEOLOGICAL PROSPECTION
(2023)
Article
Green & Sustainable Science & Technology
Antonio Minervino Amodio, Dario Gioia, Maria Danese, Nicola Masini, Canio Alfieri Sabia
Summary: Land use and land cover play a significant role in soil erosion and sediment yield. Researching the past using historical maps can help us understand the future landscape changes, which is hindered by the lack of historical information. To address this, we combined an old paper map, aerial photos, and orthophotos to study land-use history and landscape dynamics, focusing on a segment of the Roman route Via Herculia in Italy. Three land-use scenarios were analyzed for different periods, and a soil erosion model was applied to assess the changes in erosion and sediment deposition. The results indicate an increase in erosion and deposition from 1870-1974, followed by a decrease from 1974-2013.
Article
Mathematics, Interdisciplinary Applications
Luciano Telesca, Nicodemo Abate, Farid Faridani, Michele Lovallo, Rosa Lasaponara
Summary: Xylella fastidiosa is a phytobacterium that causes severe diseases in various species. Its infection on olive trees leads to the olive quick decline syndrome, resulting in rapid tree desiccation and death. This study analyzes MODIS satellite evapotranspiration data using the Fisher-Shannon method and the multifractal detrended fluctuation analysis to detect the presence of Xylella fastidiosa. The results indicate that these methods can effectively differentiate between infected and healthy sites, with the maximum of the multifractal spectrum performing the best. These findings suggest the potential use of these methods for early detection of plant diseases.
FRACTAL AND FRACTIONAL
(2023)
Article
Archaeology
Rosa Di Maio, Antonio Emolo, Alessia Frisetti, Nicodemo Abate, Mauro La Manna, Ivano Pierri, Rosanna Salone, Stefania Tarantino
Summary: The paper presents an integrated study of San Pietro Infine site, using LiDAR and geophysical surveys. The study identified a structure that could be the Ad Flexum junction and also found evidence of a village developed around the religious building of San Pietro.
JOURNAL OF ARCHAEOLOGICAL SCIENCE-REPORTS
(2023)
Article
Geochemistry & Geophysics
Nicodemo Abate, D. Roubis, F. Sogliani, V. Vitale, M. Sileo, P. Arzu, R. Lasaponara, N. Masini
Summary: This study utilized multiscale and multisensor remote sensing techniques combined with big data analysis to identify buried archaeological remains or areas of potential archaeological interest. Multiple types of remote sensing data, such as satellite multispectral data, drone-based imagery, and geophysical prospecting, were utilized. The analysis provided insights into the ancient landscape as well as the discovery of small features, contributing to a deeper understanding of the ancient city of Metaponto in southern Italy.
EXPLORATION GEOPHYSICS
(2023)
Article
Physics, Multidisciplinary
Luciano Telesca, Nicodemo Abate, Farid Faridani, Michele Lovallo, Rosa Lasaponara
Summary: In this study, the time variability of MODIS satellite evapotranspiration data was analyzed using the informational Fisher-Shannon analysis and the multifractal detrended fluctuation analysis. The presence of Xylella Fastidiosa in olive trees was revealed, and a combination of information and multifractal parameters was proposed as an operational tool for early diagnosis of plant deterioration due to the bacterium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Environmental Sciences
Gerardo Romano, Luigi Capozzoli, Nicodemo Abate, Michele De Girolamo, Isabella Serena Liso, Domenico Patella, Mario Parise
Summary: Gravaglione in Apulia region, Italy, is a significant swallow hole that could be part of an unknown karst system. A combination of aerial photogrammetry, ground penetrating radar measurements, and electrical resistivity tomography surveys were used to identify caves, define the extent of the karst system, and understand the relationship between surface morphology and subsurface structure. The study revealed the presence of a complex karst system up to 200 m below ground level with a distinctive 3D nature. The results demonstrate the validity of the geophysical approach and lay the foundation for a cost-effective and high-resolution strategy for detecting and characterizing karst caves.
Article
Green & Sustainable Science & Technology
Luciano Telesca, Michele Lovallo, Gianfranco Cardettini, Angelo Aromando, Nicodemo Abate, Monica Proto, Antonio Loperte, Nicola Masini, Rosa Lasaponara
Summary: The purpose of this study was to evaluate the potential of Singular Spectrum Analysis (SSA) and the Fisher-Shannon method in analyzing NDVI MODIS time series and capturing and estimating inner vegetation anomalies in forest covers. The results showed that using SSA and Fisher-Shannon methods, combined with the NDVI time series of the MODIS satellite, effectively identified and characterized subtle but physically significant signals masked by seasonality and annual cycles.
Article
Green & Sustainable Science & Technology
Wael Attia, Dina Ragab, Atef M. Abdel-Hamid, Aly M. Marghani, Abdelaziz Elfadaly, Rosa Lasaponara
Summary: This study focuses on using radar and optical satellite imagery to assess flood hazards and monitor archaeological sites in the Wadi Baba area. The study reveals significant flood risk in the area, posing a threat to heritage sites, and proposes mitigation strategies.
