1,721,092 research outputs found
Paradata to Reuse Holistic HBIM Quality Models in the SCAN-to-HBIM-to-VR Process. The Mausoleum of Cecilia Metella and the Castrum Caetani
No full textThe multiplication of efforts to digitize complex architectural and archaeological heritage sites in the form of informative models increasingly requires to document survey and modelling methods through qualitative and quantitative parameters to ensure mutual trustworthiness and proper re-use for different purposes by the potential multiple users, as well as the citation of the contributors’ data source (archaeologists, designers, conservators, civil engineers, geologists, XR-VR developers). The HBIM of the Mausoleum of Cecilia Metella and the Castrum Caetani (Rome, Italy), is part of the digitization of the PAAA (Parco Archeologico dell’Appia Antica, Archaeological Park of the Appian Way): it is emblematic for the complexity of the interconnections among users and contributors across the time. The article discusses needs and definition of Paradata for the re-use of holistic HBIM quality information models documenting the entire SCAN-to-HBIM-to-XR process, through diverse Levels of Development and Levels of Geometry (LODs100-600, LOGs100-600) from the surveys to the modelling phases including Virtual Reality experiences built on informative models, as well as remote environmental risk applications as part of long life management and monitoring. Being the models generated for different HBIM-USES and users, parameters that document the Grade of Accuracy of the Survey and of the Object Models generated in various times are identified. It is the case of the construction technologies associated to the transformation phases for potential future HBIM-uses, as for BIM-to-FEA and Seismic Vulnerability Plan exploitation, remote monitoring or XR (eXtended Reality) in a holistic process
A Window for the Hidden Past: Revealing Architectural Remains Based on Field Spectroscopy Data Analysis
No full textIdentification of Buildings Damaged by Natural Hazards Using Very High-Resolution Satellite Images: The Case of Earthquake in L’Aquila, Italy
No full textEarth observation technologies are becoming increasingly important not only in monitoring practice in environmental domain, but also for detecting changes in urban areas caused by natural hazards such as earthquakes, floods or landslides. A range of high- and very high-resolution sensors useful for this purpose have been implemented as equipment of several missions launched since the year 2000, mostly by private companies. This chapter proposes a methodology for identification of damages in urban fabric of L'Aquila, caused by an earthquake in 2009. The images employed for assessment of such damages are Quickbird images with less than 1 m resolution, providing inputs for an advanced visualisation technique. The results of this process were discussed within a larger framework of emergency management cycle for possible thematic mapping, useful especially for response and recovery planning strategies
Unequal Horizons: Global North–South Disparities in Archaeological Earth Observation (2000–2025)
No full textThis systematic review analyzes 4359 archaeologically relevant publications spanning 25 years to examine global disparities in archaeological remote sensing research between Global North and Global South participation. This study reveals deep inequalities among these regions, with 72.1% of research output originating from Global North-only institutions, despite these regions hosting less than half of UNESCO World Heritage Sites. The temporal analysis demonstrates exponential growth, with 47.2% of all research published in the last five years, indicating rapid technological advancement concentrated in well-resourced institutions. Sub-Saharan Africa produces only 0.6% of research output while hosting 9.4% of World Heritage Sites, highlighting a technology gap in heritage protection. The findings suggest an urgent need for coordinated interventions to address structural inequalities and promote technological fairness in global heritage preservation. The research employed bibliometric analysis of Scopus database records from four complementary search strategies, revealing that just three countries—Italy (20.3%), the United States (16.7%), and the United Kingdom (10.0%)—account for nearly half of all archaeological remote sensing research and applications worldwide. This study documents patterns that have profound implications for cultural heritage preservation and sustainable development in an increasingly digital world where advanced Earth observation technologies have become essential for effective heritage protection and archaeological research
Recent and Past Archaeological Looting by Satellite Remote Sensing: Approach and Application in Syria
No full textVandalism and illegal excavations represent one of the main risks which
affect archaeological heritage throughout the world. Actions oriented to quantify
damage and prevent looting can be supported by satellite technologies which can
provide reliable information to detect and map devastation phenomenon in particular
for remote or non-accessible sites. In these cases, it is desirable to use satellite-based
semiautomatic or automatic approaches for the mapping and quantification of
looting patterns. In this paper, an automatic method for archaeological looting feature
extraction approach (ALFEA) has been applied to an archaeological site in
Syria, Tell Sheikh Hamad, affected by archaeological looting before and during the
civil war. The aim is to evaluate the capability of ALFEA to extract past and recent
looting features and patterns using Google Earth images. The results have been
assessed through visual inspection, which shows that the rate of success was higher
than 90% for recent looting and around the 80% for past archaeological
disturbance
Active Satellite Sensors in Cultural Heritage Research: The Use of SAR for Archaeological Prospection
No full textThis paper provides an overview on the application of satellite synthetic
aperture radar (SAR) technology in archaeology. The growing developments of
space SAR technologies in terms of observational capabilities (spatial, spectral,
radiometric, and temporal coverage) had made the use of these technologies very
attractive for archaeological investigations. Although several achievements have
been made in recent years on the basis of pioneering efforts addressed to the assessment
of the potentiality of the L-, C-, and X-band SAR in archaeology, the full
capability of these technologies for archaeological site detection is still incompletely
evaluated until now. Moreover, significant advances are expected from the
most recent satellite data available at 25 cm in X-band (TerraSAR) and at 1 m in
multipolarized L-band (PALSAR). These enhanced characteristics, in terms of spatial
resolution and radiometric quality, take the most recent SAR technologies to a
new level for archaeological applications, addressed to object detection and target
recognition
IDOVIR – A New Infrastructure for Documenting Paradata and Metadata of Virtual Reconstructions
No full textIn the context of source-based virtual reconstructions and its underlying decision-making processes (paradata), there has been a long-time demand for documenting why a reconstruction was executed in a certain way, and presenting it in a comprehensible and public manner. Lacking documentation leads to a loss of knowledge and that the scientific nature of a reconstruction won’t be guaranteed anymore. Based on earlier prototypes, TU Darmstadt and HTW Dresden developed IDOVIR (Infrastructure for Documentation of Virtual Reconstructions) which enables the documentation of this kind of paradata and metadata, and, at the same time, supports communication during the reconstruction phase. The tool can be used free of charge and independently by registering via ORCID. The core of IDOVIR is the division of an entity into different spatial areas and time periods to which multiple variants can be assigned. Each variant contains the triple of 1) the representation of the reconstruction (2D or 3D), 2) the sources used, and 3) a textual argumentation that explains how the reconstruction has been inferred from the sources. For long-term storage and availability, IDOVIR is hosted by the University and State Library Darmstadt
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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