Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 308, P. 114200 - 114200
Published: May 9, 2024
Language: Английский
Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 308, P. 114200 - 114200
Published: May 9, 2024
Language: Английский
Heritage Science, Journal Year: 2024, Volume and Issue: 12(1)
Published: Feb. 16, 2024
Abstract Heritage holds significant historical, cultural, or natural value. GIS technology integrates spatial and attribute data of heritage sites, providing a powerful modern tool for better understanding, preservation, management resources. To reveal the progress trends in applications studies (GIS-Heritage), this study collected analyzed 1026 relevant research articles published between 1994 2023 from Web Science database. The analysis was conducted using VOSviewer software bibliometric visualization analysis. results demonstrated that Italy has made largest contributions field GIS-Heritage. There exists close collaboration among institutions. Journals like Journal Cultural played crucial roles. most influential authors include Brown, Agapiou, Nicu. key themes identified encompass cultural heritage, GIS, sustainable development, analysis, archaeology, conservation, photogrammetry. Based on findings paper puts forward future recommendations GIS-Heritage, focusing integration, technological innovation, as well interdisciplinary international collaboration.
Language: Английский
Citations
11Electronics, Journal Year: 2024, Volume and Issue: 13(18), P. 3738 - 3738
Published: Sept. 20, 2024
Artificial intelligence (AI) techniques have been increasingly applied in assisting various cultural heritage (CH)-related tasks. The aim of this study is to examine the research trends and current applications AI vast domain. After obtaining a dataset from Web Science Scopus databases, scientometric analysis publications 2019 2023 related use CH was conducted. trending topics based on author’s keywords were identified by using ScientoPy v2.1.3 software. Through approach, five main identified: classification, computer vision, 3D reconstruction, recommender systems, intangible heritage. highlights upward trend field since 2019, indicating growing interest application CH. By analyzing latest field, it observed that are mostly assist discovery, description, preservation report gives insights into areas developing artificial machine learning. offers important information about key emerging field. This helps recognize potential, development, increasing influence these technologies within findings contribute future development CH, enabling professionals advantages technologies.
Language: Английский
Citations
11Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2495 - 2495
Published: Feb. 26, 2025
This paper explores the diverse array of digital tools utilized for data acquisition in archaeology. abstract outlines various categories commonly employed, including geographic information systems (GISs), global positioning (GPSs), remote sensing technologies, 3D scanning and photogrammetry, drones aerial photography, as well mobile applications recording systems. Each category is elucidated with examples their application archaeological research, emphasizing roles site mapping, spatial collection, artefact documentation, landscape analysis. Furthermore, it discusses advancements, challenges, best practices associated integration into fieldwork. It also highlights potential future developments technologies to enhance capabilities further, ultimately contributing a deeper understanding human history cultural heritage.
Language: Английский
Citations
1Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2250 - 2250
Published: March 5, 2025
Hydrology relates to many complex challenges due climate variability, limited resources, and especially, increased demands on sustainable management of water soil. Conventional approaches often cannot respond the integrated complexity continuous change inherent in system; hence, researchers have explored advanced data-driven solutions. This review paper revisits how artificial intelligence (AI) is dramatically changing most important facets hydrological research, including soil land surface modeling, streamflow, groundwater forecasting, quality assessment, remote sensing applications resources. In AI techniques could further enhance accuracy texture analysis, moisture estimation, erosion prediction for better management. Advanced models also be used as a tool forecast streamflow levels, therefore providing valuable lead times flood preparedness resource planning transboundary basins. quality, AI-driven methods improve contamination risk enable detection anomalies, track pollutants assist treatment processes regulatory practices. combined with open new perspectives monitoring resources at spatial scale, from forecasting storage variations. paper’s synthesis emphasizes AI’s immense potential hydrology; it covers latest advances future prospects field ensure
Language: Английский
Citations
1The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences, Journal Year: 2023, Volume and Issue: XLVIII-M-2-2023, P. 1149 - 1155
Published: June 26, 2023
Abstract. The pioneering use of Artificial Intelligence (AI) in various fields and sectors, the growing ethical debate about its application have led research centers, public private institutions to establish guidelines for a trustworthy implementation these powerful algorithms. Despite recognized definition principles responsible or AI, there is lack sector-specific perspective that highlights risks opportunities different areas application, especially field Cultural Heritage (CH). In fact, still formal frameworks evaluate algorithms’ adherence standards set by European Union AI protecting CH inherent value. Because this, it necessary investigate sectoral viewpoint supplement widely used horizontal approach. This paper represents first attempt design an framework embody conservation practises assess arising from CH. contribution presents synthesis applications improve preservation process It explores analyses depth challenges presented preservation. addition, study aims this ground-breaking technology at
Language: Английский
Citations
16Journal of Applied Geophysics, Journal Year: 2024, Volume and Issue: 227, P. 105437 - 105437
Published: Aug. 1, 2024
Language: Английский
Citations
5Internet Archaeology, Journal Year: 2024, Volume and Issue: 67
Published: Feb. 26, 2024
Artificial Intelligence (AI) is not a recent development. However, with increasing computational capabilities, AI has developed into Natural Language Processing and Machine Learning, technologies particularly good at detecting correlations patterns, categorising, predicting, or extracting information. Within archaeology, can process big data accumulated over decades of research deposited in archives. By combining these offers new insights exciting opportunities to create knowledge from archaeological archives for contemporary future research. the ethical implications human costs are yet fully understood. Therefore, we question whether archaeology blessing curse.
Language: Английский
Citations
4Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(40)
Published: Sept. 23, 2024
It took nearly a century to discover total of 430 figurative Nazca geoglyphs, which offer significant insights into the ancient cultures at Pampa. Here, we report deployment an AI system entire region, UNESCO World Heritage site, leading discovery 303 new geoglyphs within only 6 mo field survey, doubling number known geoglyphs. Even with limited training examples, developed approach is demonstrated be effective in detecting smaller relief-type unlike giant line-type are very difficult discern. The improved account enables us analyze their motifs and distribution across We find that depict mainly human or things modified by humans, such as domesticated animals decapitated heads (81.6%). They typically located viewing distance (on average 43 m) trails crisscross Pampa were most likely built viewed individual small-group level. On other hand, wild (64%). found 34 m from elaborate linear/trapezoidal network suggests they probably used on community level for ritual activities.
Language: Английский
Citations
4Remote Sensing, Journal Year: 2023, Volume and Issue: 15(7), P. 1876 - 1876
Published: March 31, 2023
The utilization of remote sensing technologies for archaeology was motivated by their ability to map large areas within a short time at reasonable cost. With recent advances in platform and technologies, uncrewed aerial vehicles (UAV) equipped with imaging Light Detection Ranging (LiDAR) systems have emerged as promising tool due low cost, ease deployment/operation, provide high-resolution geospatial data. In some cases, archaeological sites might be covered vegetation, which makes the identification below-canopy structures quite challenging. LiDAR energy travel through gaps vegetation allows derivation returns from hidden below canopy. This study deals development deployment UAV system assisted an integrated Global Navigation Satellite System/Inertial System (GNSS/INS) mapping Dana Island, Turkey. Data processing strategies are also introduced detection visualization underground structures. More specifically, strategy has been developed robust ground/terrain surface site characterized steep slopes dense well presence numerous derived terrain is then used automated detection/localization structures, visualized web portal. proposed shown F1-score approximately 92%.
Language: Английский
Citations
11Digital Applications in Archaeology and Cultural Heritage, Journal Year: 2023, Volume and Issue: 30, P. e00288 - e00288
Published: Aug. 22, 2023
This paper compiles the most relevant contributions of AI technology in field Human Sciences. It reveals development different applications and software techniques used. The main purpose is to show major breakthroughs Humanities research and, at same time, highlight scarcity study cases. implementation offers many possibilities that are gradually being incorporated. general state-of-the-art review aims illustrate how our area knowledge can benefit from approaches have been undertaken, as well their potential for future developments.
Language: Английский
Citations
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