Automatic extraction of footprints of buildings from orthophotos is a challenge in the field of remote sensing data processing. The combination of image classification and object localization tasks in this research aims to develop a new model based on ResUNet and the YOLO algorithm. By applying the proposed model and publicly available data, a high level of building extraction success of 89% is achieved. Although there is potential to improve the results by introducing other types of data, the integration of these models represents a significant step towards improving the technology of automatic extraction of buildings from orthophotos.

Precision viticulture systems are essential for enhancing traditional intensive viticulture, achieving high-quality results, and minimizing costs. This study explores the integration of Unmanned Aerial Vehicles (UAVs) and artificial intelligence in precision viticulture, focusing on vine detection and vineyard zoning. Vine detection employs the YOLO (You Only Look Once) deep learning algorithm, achieving a remarkable 90% accuracy by analysing UAV imagery with various spectral ranges from various phenological stages. Vineyard zoning, achieved through the application of the K-means algorithm, incorporates geospatial data such as the Normalized Difference Vegetation Index (NDVI) and the assessment of nitrogen, phosphorus, and potassium content in leaf blades and petioles. This approach enables efficient resource management tailored to each zone’s specific needs. The research aims to develop a decision-support model for precision viticulture. The proposed model demonstrates a high vine detection accuracy and defines management zones with variable weighting factors assigned to each variable while preserving location information, revealing significant differences in variables. The model’s advantages lie in its rapid results and minimal data requirements, offering profound insights into the benefits of UAV application for precise vineyard management. This approach has the potential to expedite decision making, allowing for adaptive strategies based on the unique conditions of each zone.

According to the definition of UNESCO, cultural heritage includes artifacts, monuments, groups of objects and museums that have different symbolic, historical, artistic, aesthetic or anthropological value. Objects of cultural heritage must be properly documented, preserved and protected from destruction. One of the methods of preserving cultural heritage is digitization through various methods and storage of digital material in an appropriate manner. Laser scanning is a method of collecting spatial data on the basis of which it is possible to create detailed 3D models of objects. This paper analyzes the possibilities of creating a point cloud in two ways: with an industrial terrestrial laser scanner and a sensor more accessible to a wider range of users, which is installed in mobile phones. An analysis of the performance and accuracy of both methods was performed and a conclusion was given on the degree of their usability. The results of the work show the possibility of using both methods in the preservation of cultural heritage.

The utility network cadastre in Serbia is the main register of the utility lines and rights to them, together with the property owner's rights. The legal aspects of the utility network cadastre in Serbia is organized the same way like in real estate cadastre. For this reason, the extended LADM utility network data model for Serbia is developed in previous work of the authors. In the era of different technologies and the possibilities of storing and displaying data in 2D and 3D, it is desirable to use their full potential. In the paper, the possibilities of using augmented reality data to get a better overview of the data on the field is analyzed. The augmented reality models have been developed to display different types of manholes, which are node points of underground utility lines. The models were developed through the FME (Feature Manipulation Engine) software package and allow the display of different shapes of manholes, the addition of different textures to the interior and exterior of the manhole, as well as arbitrary content of the manhole. Other utility objects can be presented in a similar way. Such models can be included in the unified LADM based data model for utility network cadastre in Serbia by extending the code list for spatial source type and adding necessary classes. This way developed models can not only be used in the field but in office condition too.