https://www.mediageo.it/ojs/index.php/archeomatica/issue/feedArcheomatica2025-02-26T18:54:32+01:00Renzo Carluccidir@archeomatica.itOpen Journal Systems<p><em>Archeomatica</em> è una nuova rivista multidisciplinare, stampata in Italia, dedicata alla presentazione e alla diffusione di metodologie avanzate, tecnologie emergenti e tecniche per la conoscenza, la documentazione, salvaguardia, conservazione e valorizzazione del patrimonio culturale.</p>https://www.mediageo.it/ojs/index.php/archeomatica/article/view/2058Mappematica: un'analisi tra geodesia, frattali e percezioni cartografiche nel mondo contemporaneo2025-02-26T18:51:13+01:00Redazione MediaGEOredazionemediageo@gmail.com2025-02-26T00:00:00+01:00Copyright (c) 2025 Archeomaticahttps://www.mediageo.it/ojs/index.php/archeomatica/article/view/2052Il Piano Nazionale di Digitalizzazione in Italia: Opportunità e Rischi di Fallimento2025-02-26T17:59:16+01:00Valerio Carluccivalerio.carlucci@gmail.com2025-02-26T00:00:00+01:00Copyright (c) 2025 Archeomaticahttps://www.mediageo.it/ojs/index.php/archeomatica/article/view/2056High-Resolution GPR Surveys at Tyndaris and Gioiosa Guardia: preliminary non-invasive investigations for future archaeological research2025-02-26T18:32:45+01:00Giuseppe Ceraudogiuseppe.ceraudo@unisalento.itVeronica Ferrariveronica.ferrari@unisalento.itStefano De Nisi stefano.denisi@unisalento.itMichele Fasolomichele.fasolo@gmail.comSofia Stricchiolasofia.stricchiola@studenti.unisalento.it<p>This paper presents preliminary results from non-invasive geophysical surveys conducted in the urban area of Tyndaris and at the archaeological site of Gioiosa Guardia. The primary goal was to collect data guiding future archaeological investigations and to verify the continuity of known structures. A 500 MHz Ground PenetratingRadar (GPR), specially designed for high-resolution surveys in archaeological contexts, was used to detect buried features at depths of approximately two meters. Following a pseudo-grid survey design, data were processed (time-zero correction, background removal, band-pass filtering, diffraction-stack migration) to generate vertical radargrams as well as 2D and 3D maps.</p> <p>At Tyndaris, investigations revealed significant anomalies associated with modern infrastructure and new architectural evidence near the so-called Basilica, possibly related to the ancient agora. At Gioiosa Guardia, newly discovered quadrangular features and a large rectilinear anomaly suggest an extension of the ancient settlement beyond previously excavated areas.</p> <p>These findings underscore the importance of integrating geophysical methods, topographic surveys, and traditional archaeological analyses to build a comprehensive picture of settlement dynamics.</p> <p>Future research will focus on expanding surveys with multiple GPR frequencies, magnetometry, and photogrammetric<br>data for a more complete understanding of subsurface stratigraphy and site development.</p>2025-02-26T00:00:00+01:00Copyright (c) 2025 Archeomaticahttps://www.mediageo.it/ojs/index.php/archeomatica/article/view/2053Soluzioni di Machine Learning per il Patrimonio Culturale. Il progetto ArtI4EO.2025-02-26T18:03:30+01:00Nais Solutionsinfo@naissolutions.com<p>Through ArtI4EO, the Project Team<br>wanted to explore the possible use<br>of neural networks based on ML<br>techniques applied to satellite, photographic<br>and UAV image datasets,<br>i) for a more in-depth description<br>of the context in which an archaeological<br>asset is located and ii) for<br>the characterization of some types<br>of damage present on the surface of<br>the assets. The use of Machine Learning<br>and Deep Learning techniques<br>in the context of monitoring and<br>safeguarding cultural heritage constitutes<br>an important technological<br>advancement. In particular, having<br>automatic tools and methodologies<br>for identifying damage constitutes<br>a strategic asset of considerable<br>importance, especially if applied to<br>the Italian context characterized by<br>an incredible widespread archaeological<br>and architectural heritage.</p>2025-02-26T00:00:00+01:00Copyright (c) 2025 Archeomaticahttps://www.mediageo.it/ojs/index.php/archeomatica/article/view/2054Archeologia, Osservazione della Terra e Intelligenza Artificiale: il contributo dell’Agenzia Spaziale Ita liana per il Pat rimonio Culturale2025-02-26T18:12:28+01:00Roberto Angelonebiblioteca@asi.it<p>Remote sensing in the archaeological field has proved to be an important tool for the identification, documentation and conservation of archaeological sites. The use of SAR data is constantly increasing in the monitoring of archaeological sites. COSMO-SkyMed satellites funded by the Italian Space Agency, offer high-resolution images and the ability to operate day and night, in any weather condition. Remote sensing and Artificial Intelligence offer new perspectives for archaeology. Through the integration of human skills and advanced technologies new opportunities can be offered to deepen knowledge of the past and preserve our archaeological heritage for future generations.</p>2025-02-26T00:00:00+01:00Copyright (c) 2025 Archeomaticahttps://www.mediageo.it/ojs/index.php/archeomatica/article/view/2057Perché la tecnologia ha bisogno dell’archeologia2025-02-26T18:47:44+01:00Stefano Montiredazionemedageo@gmail.com<p>Probably nothing more than technological development has characterized the last century. From research on cybernetics, which had an incredible momentum during the years of the Second World War, and that they involved the most brilliant mathematicians, psychologists and ethologists and physicists of the time, the technological development to support of contemporary society has practically none known setbacks. Every element of our daily life has been affected by this process which today still seems unstoppable: from communications to hygiene, from production to knowledge, from entertainment to ethics. Similarly, every discipline has been irremediably involved by technological and digital evolutions.</p>2025-02-26T00:00:00+01:00Copyright (c) 2025 Archeomatica