Photogrammetry is a rapidly developing field of science, using new technologies such as unmanned aerial vehicles (UAVs), and digital cameras. This field deals with obtaining reliable information about physical objects and their surroundings by means of recording, measuring and interpreting images [Markiewicz et al. 2012]. Currently, unmanned aerial vehicles are used not only for taking amateur or professional commemorative aerial photographs, but they also find much more specialized applications. Among these applications, we can distinguish air pollution inspections (carried out, among others, by municipal police), border inspections, search for missing persons, and many other uses [Nowobilski 2020]. UAV photogrammetry can be understood as a new photogrammetric measurement tool. It opens up various new applications in the field of short-range imaging, combining aerial and ground photogrammetry; and it also introduces low-cost alternatives to classical aerial photogrammetry with crew [Eisenbeiß 2009]. Today, not everyone can afford photogrammetric flight campaigns, which require more time and money. Although UAVs are not used on a large scale in surveying, still, their development, the possibility of using them for surveying works, the accessibility and ease of application, as well as the development of the cameras themselves, convince more and more surveyors to use them more broadly in the performance of geodetic works. Unmanned aerial vehicles are used to perform photogrammetric mission flights, thanks to which photos of the land surface are obtained. This allows for the generation of orthophotos, and even three-dimensional terrain models, enabling further analysis of the studied area. The aim of this study was to present the possibility of using UAVs for the purpose of updating land and buildings records in a specific area. Based on the photos obtained during the photogrammetric mission, an orthophotomap had been generated, which was subsequently used for the modernisation of records and updating the functions of buildings and areas. Then, all the buildings on the land plots were grouped according to their function, status, construction material, number of storeys, and area calculated from the roof surface. 37 land plots were covered by the measurement. 5 selected plots were used for the purpose of this publication.