A5029297160- Archaeological Research and Protection
- 3D Surveying and Cultural Heritage
- Conservation Techniques and Studies
- Geophysical Methods and Applications
- Maritime and Coastal Archaeology
- Archaeology and ancient environmental studies
- Ancient Mediterranean Archaeology and History
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Building materials and conservation
- Geophysical and Geoelectrical Methods
- Cultural Heritage Management and Preservation
- Seismic Waves and Analysis
- Urban Planning and Valuation
- Medieval Architecture and Archaeology
- Microwave Imaging and Scattering Analysis
- Cultural Heritage Materials Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Geochemistry and Geologic Mapping
- Automated Road and Building Extraction
- Image Processing and 3D Reconstruction
- Masonry and Concrete Structural Analysis
- Thermography and Photoacoustic Techniques
- Remote Sensing in Agriculture
- Diverse academic and cultural studies
National Research Council
2016-2025
National Academies of Sciences, Engineering, and Medicine
2023
University of Basilicata
2007-2023
National Research Council - Institute of Methodologies for Environmental Analysis
2009-2022
Institute for Technologies Applied to Cultural Heritage
2008-2022
Institute of Remote Sensing and Digital Earth
2016-2021
Chinese Academy of Sciences
2016-2021
Fondazione Lanza
2021
Institute for Archaeological and Monumental Heritage
2011-2020
Aerospace Information Research Institute
2020
We processed X-band COSMO-SkyMed 3-m resolution StripMap HIMAGE time series (March 2011–June 2013) with the Stanford Method for Persistent Scatterers (StaMPS), to retrieve an updated picture of condition and structural health historic centre Rome, Italy, neighbouring quarters. Taking advantage average target density over 2800 PS/km2, we analysed spatial distribution more than 310,000 radar targets against: (1) land cover; (2) location archaeological ruins restoration activities; (3) size,...
Despite the recognized effectiveness of LiDAR in penetrating forest canopies, its capability for archaeological prospection can be strongly limited areas covered by dense vegetation detection subtle remains scattered over morphologically complex areas. In these cases, an important contribution to improve identification topographic variations interest is provided LiDAR-derived models (LDMs) based on relief visualization techniques. this paper, diverse LDMs were applied medieval site Torre...
Imaging radar has been dramatically developed over the past decades enabling a better understanding of cultural heritage from microwave perspective. Nonetheless, dedicated survey and analysis performance such technology in monitoring management is required. In order to fill this gap, we first review advance imaging radar, including ground penetration ground-based airborne/satellite focused applications grasp development trend these technologies. We then analyse limitations technologies based...
In this paper three case histories of ground penetrating radar (GPR) for the monitoring historical buildings are presented. They aim to present specific valence GPR in field diagnostic buildings, which is a promising research, due increasing awareness relevance (even economic) cultural heritage. The presented prospecting cases have been performed on different constructive elements typical (a wall, masonry pillar and marble column) order be answer problems such as characterization masonry,...
In this paper, we present the results of a diagnostics survey, based on exploitation ground penetrating radar (GPR) and sonic prospecting, to characterize deterioration status pillars cathedral Tricarico, in Basilicata region (Southern Italy). The prospecting falls within more general framework investigating structural conditions monument, which is affected by heavy instability problems. This study case points out great effectiveness two employed diagnostic methods, when used an integrated...
Satellite images have been systematically explored by archaeologists to detect crop marks, which are considered as a proxy for the identification of buried archaeological remains. Even though several existing algorithms frequently applied, such histogram enhancements and vegetation indices, detection marks still remains difficult task, while final interpretation results can be very poor. This paper aims present some current difficulties “remote sensing archaeology” in terms due crops’...
With the development of Synthetic Aperture Radar (SAR) in terms multi-band, multi-polarization and high-resolution data, space radar remote sensing for archaeology has become a potential field research. Nevertheless, archaeological detection capability this technology so far not been fully assessed. This paper is pioneering effort to assess satellite SAR X-band data marks. We focus on results obtained from collaborative contribution jointly carried out by archaeologists experts order test...
One of the major issues in buried archeological sites especially if characterized by intense human activity, complex structures, and several constructive phases, is: to what depth conduct excavation? The answer depends on a number factors, among these one most important is priori reliable knowledge subsoil can preserve. To this end, geophysics (if used strong synergy with archaeological research) help planning time, depth, modes excavation also when physical characteristics remains their...
This paper is focused on the use of satellite Sentinel-2 data for assessing their capability in identification archaeological buried remains. We selected “Tavoliere delle Puglie” (Foggia, Italy) as a test area because it characterized by long human frequentation and very rich The investigations were performed using multi-temporal spectral indices, commonly used satellite-based archaeology, herein analyzed known areas to capture signatures soil crop marks characterize temporal behavior Time...
In recent years, the impact of Climate change, anthropogenic and natural hazards (such as earthquakes, landslides, floods, tsunamis, fires) has dramatically increased adversely affected modern past human buildings including outstanding cultural properties UNESCO heritage sites. Research about protection/monitoring is crucial to preserve our (with them also) history identity. This paper focused on use open-source Google Earth Engine tool herein used analyze flood fire events which area...
The abandonment of inhabited places is a phenomenon widespread on global scale that has spanned centuries. It led to the birth so-called ‘ghost towns’. These lifeless sites dot internal Mediterranean and European areas, testifying changeability human settlements. Through vision reverses paradigm epitomises towns’, these can be transformed from problem into an opportunity for development territories host them. main topic this article present update investigations performed three abandoned...
Climate change has among its effects the increasing frequency and intensity of both natural anthropic hazard, such as landslides, floods, erosion, sea level rise, weathering fires (Fatorić Seekamp, 2017). These phenomena pose significant threats to archaeological heritage, highlighted in scenarios outlined by IPCC (Intergovernmental Panel on Change).Ancient sites, especially settlements dispersed across rural landscapes, are particularly vulnerable climate-related hazards due their...
Fires are among the most significant causes leading to alterations, both at level of natural and built landscape. These in fact induce alterations not only on vegetation cover, but also fauna, soil, atmosphere, artifacts and, inevitably, economic losses as well. In context archaeological heritage, fires a cause extensive damage especially territorial scale, sites fragments yet subject either excavation or reconnaissance campaigns, known that suffer from insufficient protection...
This study introduces a methodology for the improvement of visibility archaeological features using an open-source probabilistic machine learning framework applied to UAV LiDAR data from Torre Castiglione site in Apulia, Italy. By leveraging Random Forest classification algorithm embedded software, approach processes dense point clouds segment out vegetation ground and structures. Key steps include training classifier, generating digital terrain models, feature surface enhancing features....