## 2 Materials and Methods
DTM is one of the basic information layers used by systems that describe phenomena in terms of value and is often the basis of spatial organization for them [29]. Interacting with other layers in a spatial information system, the DTM is used to conduct comprehensive spatial analyses in a specific area. Along with the attribute database, it is the basic element of a numerical map. It is used in design and investment processes and in various types of analyses, forecasts, and predictions of physical, social, and economic phenomena [30]. DTM is commonly used, among other things, to determine elevation at any point of the terrain, create axonometric drawings of the terrain surface, calculate volumes and balance landmasses, analyze mutual visibility of points, determine local terrain slopes and their azimuths, analyze floodplains and river basins, create contours and cross-sections, and represent surfaces (visualization) in 2D and 3D [31; 32; 33]. It is most often represented by two-or three-dimensional graphics, using a varied pixel color palette, which most often corresponds to the elevation scale. The application of digital photogrammetry methods and, in particular, the use of DTM and digital orthophotos provide new possibilities in the assessment of changes occurring in the landscape. Orthophotomaps allow us to observe the image of different landscape forms, as well as uses, in the same reference scale without using symbols. The use of aerial photographs taken at different time intervals for this purpose provides an extremely rich source of data on environmental changes. Data acquired from aerial scanning are widely used in many fields of science and economy [34; 35; 36]. First of all, they are an excellent source of data for generating numerical elevation models. They are also used to develop simulations and flood hazard maps, the orthorectification of aerial photographs, planning, and land use planning. They are also used in such fields as: archaeology, urban planning, forestry, power engineering, telecommunication, ecology, and glaciology. A rich source of information, except for well-known numerical terrain models, is one of the point cloud derivatives--a numerical land cover model [37; 38; 39]. Laser scanning is increasingly used worldwide as a method of acquiring information about the topographic surface as well as other elements of land cover. This is due to the undoubted advantages of this technique; among the most important advantages, it is worth mentioning the high elevation accuracy of the data, independence from lighting conditions and partially weather conditions, and the high density of source data. Laser data allow the generation of the numerical terrain model [40; 41]. They also allow the determination of basic vegetation parameters such as tree height, crown diameter, forest density, biomass estimates, and forest boundary determinations. [42; 43; 44; 45]. Research work on separating different land use classes, including vegetation, using intensity information was also conducted by [46]. The aim of this publication is to present detailed results of research on the formation of landscapes with different functions. The research was conducted in areas typical for southern Poland in the Kasinka Mala and Kamionka Wielka communes using the WIT statistical method and photogrammetric techniques. Among the many features tested with the use of the WIT method, only those that may have changed over time were selected; at the same time, the changes which could be easily read from aerial and satellite photographs were also selected. They include the changes in agricultural land (arable land, meadows, pastures, orchards), surface changes of forests, changes in land relief, and changes occurring in built-up areas, related to the increase in the number of buildings. Thanks to the application of the latest technology achievements, which are provided by the photogrammetric methods, the article also uses the visualization of the landscape with different functions.