The sustainable management of heritage tourism sites requires an integrated approach that balances cultural preservation with socio-economic development. Modern methods of documentation include laser scanning, LiDAR sensors, and aerial photogrammetry. This study explores the application of advanced geospatial and digital technologies to the archaeological park of Dion, located in the Olympus region of Pieria, Greece—a site characterized by monuments from various historical periods. Using high-precision methods and high-end software, we produced detailed 3D models and developed a comprehensive digital platform incorporating Web-GIS applications. These outputs extend beyond conventional documentation, offering tools for education, community engagement, and participatory decision making. The originality of this work lies in its interdisciplinary synthesis of digital heritage technologies and land-use planning, contributing to both academic discourse and practical strategies for sustainable tourism development. The platform not only safeguards cultural assets but also promotes inclusive innovation, job creation, and long-term planning models aligned with the sustainable development goals (SDGs). This case study contributes not only to the safeguarding of cultural heritage for future generations but also to reshaping tourism models that prioritize long-term sustainability over rapid economic gain.

In 1999, the Attica region experienced a severe earthquake that damaged the Holy Monastery of Daphni, a UNESCO Heritage monument. The Ministry of Culture commissioned a detailed geometric documentation project using the state-of-the-art methods available at the time. More than two decades later, in 2023, a new documentation project was conducted using modern technologies and equipment. This paper makes a comparison of the two projects in terms of the equipment and the methodologies used, the personnel needed, and the hours spent documenting the same complicated monument in two different time periods, spanning 20 years. Moreover, it attempts to make a comparison between the different deliverables, focusing on regions that back then appeared damaged or cracked. Key differences include a significant reduction in field and processing time, a dramatic decrease in personnel needs, and a shift from 2D outputs to integrated 3D models. This study highlights how technological advancements have enhanced precision and efficiency in documenting complex heritage sites.

In recent years, Wireless Sensor Networks (WSNs) have rapidly evolved and now comprise a powerful tool in monitoring and observation of the natural environment, among other fields. The use of WSNs is critical in early warning systems, which are of high importance today. In fact, WSNs are adopted more and more in various applications, e.g. for fire or deformation detection. The optimum deployment of sensors is a multi-dimensional problem, which has two main components; network and positioning approach. Although lots of work has dealt with the issue, most of it emphasizes on mere network approach (communication, energy consumption) and not on the topography (positioning) of the sensors in achieving ideal geometry. In some cases, it is hard or even impossible to achieve perfect geometry in nodes’ deployment. The ideal and desirable scenario of nodes arranged in square or hexagonal grid would raise extremely the cost of the network, especially in unfriendly or hostile environments. In such environments the positions of the sensors have to be chosen among a list of possible points, which in most cases are randomly distributed. This constraint has to be taken under consideration during the WSN planning. Full geographical coverage is in some applications of the same, if not of greater, importance than the network coverage. Cost is a crucial factor at network planning and given that resources are often limited, what matters, is to cover the whole area with the minimum number of sensors. This paper suggests a deployment method for nodes, in large scale and high density WSNs, based on Centroidal Voronoi Tessellation (CVT). It approximates the solution through the geometry of the random points and proposes a deployment plan, for the given characteristics of the study area, in order to achieve a deployment as near as possible to the ideal one.

Stone bridges, all around Europe stand as enduring testaments to engineering mastery, cultural heritage, and historical continuity. They served as crucial infrastructural lifelines, connecting communities and fostering trade routes. Their enduring presence symbolizes the craftsmanship and innovation of their eras, reflecting diverse regional styles and technological advancements. Geometric documentation of a stone bridge provides critical insights into its structural integrity, aiding in preservation efforts. Accurate data obtained through geomatic techniques ensures informed conservation decisions, safeguarding the bridge's historical significance for future generations. This paper focuses on the geometric documentation of the Ribnica Bridge in Podgorica, Montenegro.

Recent advances in 3D reconstruction techniques, including Terrestrial Laser Scanning (TLS), SLAM-based systems, and mobile LiDAR, have improved heritage documentation practices. This study evaluates the geometric accuracy of Leica BLK360, GeoSLAM ZEB-REVO, FJD TRION™ S1, and iPhone 12 Pro using a UNESCO-listed Byzantine Bath monument, with FARO Focus 3D as the reference dataset. Accuracy was assessed through C2C and M3C2 analyses on a 3 × 3 m floor subset and two vertical sections. Floor results showed mean deviations of 4.7–25 mm, with the iPhone 12 Pro yielding the lowest z-axis mean error, while BLK360 produced the most stable dataset. Section analysis indicated mean differences of 8–22 mm, with BLK360 demonstrating the closest agreement to reference data. Overall, all systems achieved centimeter-level accuracy, with mean deviations ranging from 4.7 mm to 25 mm, while the standard deviation of distances reached up to approximately 30 mm depending on the instrument and the analysed geometry.