In recent times, satellite-based remote sensing has a growing role in archaeology and inherently in the cultural heritage management process. This paper demonstrates the potential and usefulness of satellite imagery for the documentation, mapping, monitoring, and in-depth analysis of cultural heritage and the archaeological sites located in urban landscapes. The study focuses on the assessment and monitoring of Alba Iulia, which is one of the Romanian cities with the richest historical past. Multitemporal analysis was performed to identify the land use/land cover changes that might contribute to an increased cultural heritage vulnerability to natural disasters. A special emphasis was dedicated to the assessment of the built-up area growth and consequently of the urbanization trend over a large time interval (30 years). Next, the urbanization and urban area expansion impact was further analyzed by concentrating on the urban heat island within Alba Iulia city and Alba Iulia Fortress (located in the center of the city). As temperature change represents a key element of climate change, the temperature trend within the same temporal framework and its impact on cultural heritage were determined. In the end, with regard to the cultural heritage condition assessment, the research was complemented with an assessment of the urban ground and individual building stability, using persistent scatterer interferometry. The results contribute to the detailed depiction of the cultural heritage site in such a manner that the site is monitored over an extensive timeframe, its current state of conservation is accurately determined, and the future trends can be identified. In conclusion, the present study offers reliable results regarding the main factors that might endanger the cultural heritage site as a basis for future preservation measures.

The capabilities of satellite remote sensing technologies and their derived data for the analysis of archaeological sites have been demonstrated in a large variety of studies over the last decades. Likewise, the Earth Observation (EO) data contribute to the disaster management process through the provision of updated information for areas under investigation. In addition, long term studies may be performed for the in–depth analysis of the disaster–prone areas using archive satellite imagery and other cartographic materials. Hence, satellite remote sensing represents an essential tool for the study of hazards in cultural heritage sites and landscapes. Depending on the size of the archaeological sites and considering the fact that some parts of the site might be covered, the main concern regards the suitability of satellite data in terms of spatial and spectral resolution. Using a multi–temporal Sentinel–2 dataset between 2016 and 2019, the present study focuses on the hazard risk identification for the Micia and Germisara archaeological sites in Romania as they are endangered by industrialisation and major infrastructure works and soil erosion, respectively. Furthermore, the study includes a performance assessment of remote sensing vegetation indices for the detection of buried structures. The results clearly indicate that Sentinel–2 imagery proved to be fundamental in meeting the objectives of the study, particularly due to the extensive archaeological knowledge that was available for the cultural heritage sites. The main conclusion to be drawn is that satellite–derived products may be enhanced by integrating valuable archaeological context, especially when the resolution of satellite data is not ideally fitting the peculiarities (e.g., in terms of size, underground structures, type of coverage) of the investigated cultural heritage sites.

Geographical studies and environment protection research

Romania conducted in 2022 the Population and Housing Census – with the 1st of December 2021 as reference date. Starting from 2023, the National Institute of Statistics (INS) began publishing the results. This contribution presents a methodological approach for transforming census parameters originally published as Excel tables into geospatial datasets. The process was carried out using open-source geospatial technologies. The datasets released by INS were analyzed, standardized, and then transformed into geospatial data using specific techniques, with results reported at both the county (NUTS 3) and Local Administrative Unit (LAU) levels. A key innovation of this study is the integration of the 1 km² population grid produced by EUROSTAT, to which we added 13 statistical parameters derived from the census data. The resulting datasets are stored in a PostgreSQL/PostGIS database and served through GeoServer, enabling the development of interactive web applications using MapStore. As part of this study, three interactive applications and two dynamic dashboards were created. The newly generated data is published under an open-source license, and can be viewed and analyzed online, accessed via standard web services, or downloaded for further use. By aligning the census results with the EUROSTAT 1 km² population grid, this article offers a new perspective on demographic data, allowing for in-depth analysis of population dynamics even at the level of cities and counties.

The paper presents the scientific and practical improvements made in the educational process with particular focus on how technology has been used to help readjust the learning action and deliver online lectures. Particular example regarding online learning features and workflow process is described using Moodle functionalities for the demography field of study. The paper further elaborates on the support which the Erasmus+ EO4GEO project brings to the e-learning education system, by using dedicated tools and training materials assigned to Earth Observation and the Geoinformation sector, which advance support in educational and professional development.