Along with the development and improvement of measuring technologies and techniques in recent times, new methods have appeared to model and monitor the behavior of land and constructions over time. The main purpose of this research was to develop a new methodology to model and monitor large buildings in a non-invasive way. The methods proposed in this research are non-destructive and can be used to monitor the behavior of buildings over time. A method of comparing point clouds obtained using terrestrial laser scanning combined with aerial photogrammetric methods was used in this study. The advantages and disadvantages of using non-destructive measurement techniques over the classic methods were also analyzed. With a building located in the University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca campus as a case study and with the help of the proposed methods, the deformations over time of the facades of that building were determined. As one of the main conclusions of this case study, it can be stated that the proposed methods are adequate to model and monitor the behavior of constructions over time, ensuring a satisfactory degree of precision and accuracy. The methodology can be successfully applied to other similar projects.

The National Program of Systematic Land Registration aims to register all land property in Romania by 2023. The goal has proven difficult to achieve, as by June 2022 only 4% of the localities in the country were completed. The aim of this research is to find the similarities and differences between the fit for purpose principles of land administration for the spatial framework and the practices in The Romanian National Program of Systematic Land Registration. This is the first study that analyzes the Romanian land registration program through the lens of the fit for purpose concept. The research shows that there are similarities with the fit for purpose spatial framework principles for the use of aerial images and the participatory nature of the process. However, The National Program of Systematic Land Registration uses almost exclusively fixed boundaries and does not have different standards of accuracy and procedures for incremental improvement. Registering the parcels earlier in the process, flexibility for accuracy, and technical standards and regulations for incremental improvement of the system can speed up the registration in a fit for purpose manner.

Urban green spaces (UGS) contribute to the development of the ecosystem, especially in crowded urban areas such as cooling effect, air and noise pollution mitigation, recreation, aesthetic pleasure, quality of life and public health, as well as economic benefits, such as raising the price of the real state in the vicinity of UGS. The aim of the paper is to realize a study on green spaces and an urban distribution of the size of a systematic planning of functional and aesthetic qualities. This study examines the distribution and amount of green space, as well as the size and rates per capita are assessed. Even the distribution of distance and the accessibility of green areas throughout the city are closely linked to ensuring recreational needs. Spatial statistics using GIS have made possible the development of correct, coherent explanatory UGS variables such as distance, size, density, connectivity, sight and accessibility. The parks and all green spaces composed of polygons were digitized from the ArcGIS Attribute Table for the evaluation of per capita rates and the execution of a plan to combat the deficit of green spaces. In order to make an assessment of the green spaces, a comparative study of the area of interest from 2010 and 2020 was considered. According to the spatial analyses from ArcGis, during the 10 years, an intense real estate market was developed, affecting the distribution of green spaces per capita.

This research aimed to evaluate the efficacy of contemporary digitization methods for archaeological sites, specifically focusing on aerial approaches. The study is concentrated on the examination of two primary methods: LiDAR sensor and photogrammetry. The chosen case study revolves around the Camp of the V Macedonica Legion, a pivotal feature of the former Roman city now known as Turda, a city in Cluj County, Transylvania, Romania. Through analysis and comparison, the paper revealed that each of these aerial 3D scanning techniques possesses unique strengths, which, when combined, offer a comprehensive approach to archaeological digitization. These complementary attributes must be carefully considered and integrated considering the specific requirements and objectives of the archaeological project at hand when selecting the appropriate method. Furthermore, the research underscores the pivotal role of presenting archaeology in 3D, emphasizing its significant impact on both public and academic audiences. Achieving this presentation necessitates the utilization of specialized software for modelling, rendering, and animating objects of interest, thus enhancing the accessibility and engagement of archaeological findings. The comprehensive findings of this study demonstrate the vast potential offered by aerial 3D scans in the field of archaeology. Moreover, it serves as a potential call for the meticulous selection of the analysis method, recognizing its crucial role as a valuable tool for researchers and archaeologists. By leveraging 3D technologies in their activities, professionals in the field can significantly enhance the accuracy, depth, and accessibility of their archaeological investigations, thereby enriching our understanding of the past.

This article aims to highlight the benefits of UAV photogrammetric measurements in addition to classical ones. It will also deal with the processing and integration of the point cloud, respectively the digital elevation model in topo-cadastral works. The main purpose of this paper is to compare the results obtained using the UAV photogrammetric measurements with the results obtained by classical methods. It will briefly present the classical measurements made with the total station. In the present project, the closed-circuit traverse and the supported on the endings traverse were made using known coordinate points. Determining the coordinates of the points used for the traverses was done by GNSS methods. The area on which the measurements were made is 67942m2 and is covered by 31 determined station points. From these points, 13 were used as ground control points, respectively components of the aero-triangulation network and 17 points were used to control the obtained results by comparing their coordinates obtained by classical methods with those obtained by the UAV photogrammetric method. It was intended that the constraint points of the aero triangulation to be uniformly distributed on the studied surface.

Population management is difficult and complex due to its dynamic and complexity. When we talk about demography, we talk about human population in a defined geographic area, meaning, demography is a spatial science. Geographic Information System (GIS) is a modern tool used in many fields, to manage attribute data and spatial data, including population management. The aim of this study is to present the size of population for each county and urban/rural area on two different years: 2012 and 2020, and the estimation of population growth until the year of 2050. Used for processing spatial data, ArcGIS package from ESRI, allows spatial and geostatistical analysis, mathematical calculations and the visualizations of data. Modern cartography is using GIS technologies to create maps in an easier and flexible way. GIS can use the existing analog maps after digitizing them. Using GIS, specialists can create maps at any scale, centered on any location and showing any selected information. ArcGIS tools permit to visualize, query and overlay the data bases related to the maps. Using ArcGIS applications, we determined the counties which present an increasing of population, and those presenting a decreasing of population, as well as the evolution of population in urban and rural area. In order to determine which counties are affected more by the population decline, we calculated the growth rate using the three major demographic variables: Birth, Death and Migration. In conclusion, we can say that the population in Romania has decreased in the past 8 years and is going to decrease even more in the next 30 years. This happened due to the low birth rate and high emigration rate.