Changes in the land use/land cover (LU/LC) model caused by different anthropogenic and natural factors are an important object of numerous scientific research. In this paper, an analysis of the spatio-temporal changes (LUCCs) for the area of Significant landscape (SL) of the „Baraćeve špilje“ in the period from 1960 to 2021 was performed. Using aerial photographs and a hybrid classification method, LU/LC models and spatio-temporal changes (STCs) analysis were performed. The research showed that the abandonment of agriculture and the slow disappearance of anthropogenic influence led to the disappearance of low vegetation in the form of lawns, meadows and pastures, while the bushy vegetation and forest gradually prevailed. Finally, in accordance with the degree of protection of the studied area guidelines for stopping negative trends in LU/LC changes were considered.

The article explores the methods and potential applications of terrestrial laser scanning technology. It also presents the preliminary results of scanning the Bijambare cave, where a georeferenced three-dimensional model of the cave's interior was created. This model, based on available data, stands as the first accurate 3D representation of a speleological object in Bosnia and Herzegovina. The first section of the paper provides a brief overview of the Bijambare cave area and the laser scanning technology employed, highlighting its advantages over other geodetic measurement techniques. Subsequently, the text delves into the stages of the measurement processing, followed by an examination of the various products generated. The practical significance of these products is illustrated using the example of the Bijambare cave.

The subject of this work is geospatial analysis in the function of natural disaster risk management. GIS analysis can be applied in predicting the consequences of possible natural disasters, as well as in the case of eliminating damage caused by natural disasters that have already occurred. Analyses in this project were carried out using freely available geodata from the Internet.

The InSAR technique is a powerful tool for monitoring land subsidence, which has the potential to provide millimeter-accurate displacement determinations. By using the free Sentinel-1 images, which have a very large spatial coverage and a high frequency of repeated passes over the same area, the InSAR technique can offer good spatial and temporal displacement analysis with high accuracy. Considering the existence of a significant number of free research software, and the need to engage a smaller number of professional staff, this technique is significantly more financially favorable than other methods.

The subject of the research is the analysis of the change in land cover in the area of Babin do on Bjelašnica mountain in Bosnia and Herzegovina. In the period after 1995, throughout the entire Bosnia and Herzegovina, visible spontaneous spatial planning contributed to significant changes in the land cover. The research aims to determine changes in coverage and land use that happened in the last few decades in the researched area. The analysis of land cover changes in the research area was performed for the period from 2000 to 2018. Due to the lack of data resulting from insufficient spatial resolution of CLC, vectorization of spatial infrastructure elements from available remote sensing images was additionally carried out. This procedure implied a detailed land cover change analysis visible from the topographic map at a scale of 1:25:000 and relevant Google Earth images. Research on the topic was conducted through several phases. The first part of the paper refers to determining the geographical location of the research area and defining all its components. The second part of the paper deals with a detailed analysis of all categories of land cover in the last twenty years. The third part of the paper involves a comparative analysis of quantitative and qualitative indicators of land cover in the research area. The complete procedure of the analysis was performed using GIS, where the corresponding databases were created and a cartographic visualization for the investigated area was performed. The results of the conducted research point to the conclusion that significant changes in land cover have occurred in the Babin do in the analyzed period, which is particularly pronounced in sports and recreation areas, as a result of the development of the tourism industry. In the last part of the paper, conclusions are given regarding the changes and causes of changes of the land coverage in the analyzed area, with recommendations for further activities.

Trends showing increase in the number of mobile device users, as well as the number of tourists, imply that more people rely on their smartphones when navigating in a new environment. Based on these facts, the idea for this experimental research appeared. That idea is applying the process of machine learning, more precisely, the implementation of a neural network, to investigate the possibility of improving the accuracy of smartphone navigation. The achieved results indicate that machine learning algorithms (neural networks) are a powerful tool that can also be applied to GNSS data collected by a smartphone device, in order to improve accuracy. Based on the collected data in the field, preprocessing and machine learning process, it is concluded that it is possible to improve the accuracy of mobile device navigation by up to 50%.

Cadastral data can be used for different purposes because it represents important data created in different time periods. Analog cadastral maps like parts of the cadastral register offer graphical data about the locations of the watermills. On the cadastral maps are written a year of the creation of the graphic representation. The year of creation of the plan and the black color of the symbol of the watermill means that it was built before of survey. In the paper, the depictions of watermills in the settlements of Kasapovići and Isakovići in the municipality of Novi Travnik on the cadastral maps of the old and new survey and some historical data were analyzed. Some of the watermills existed on the terrain, but they were not registered in the cadastral register. The locations where watermills exist and where existed were explored. Additional information about watermills collected on the terrain as well as from individual residents of the mentioned settlements was given.

Structural health monitoring is a synthesis of geodetic and civil engineering methods of measuring, processing and analyzing data. All constructed buildings are subjected to displacements and deformations that can cause damage or even demolition of the building, which endangers people's lives and causes great material damage. Geodesy plays an important role in the technical monitoring of objects, but this fact does not diminish the importance of physical methods of monitoring, nor can it be argued that one method is more important than another. Each of the above-mentioned methods used for technical monitoring of high dams has its significance and only the joint application of all methods can provide an adequate description of the behaviour of the objects due to the influence of various external and internal factors. This paper will describe the history of high dams monitoring, the role of geodesy in monitoring, current trends, legal frameworks governing the monitoring, and the situation in education regarding this area of geodesy.