The dynamic development of digital technology allows for fast processing of geospatial information for military and civilian applications. Updating geospatial information is an important source of development for today’s economy, based on the freedom of access to databases, and obtaining data using images in different ranges of the electromagnetic spectrum is a comprehensive solution for spatial analysis. Dissemination of research on image acquisition and image processing allows placing sensors at different heights above the Earth’s surface [Dąbrowski et al. 2010]. Technological progress allows greater flexibility in the implementation of commissions that enable, over time, obtaining data in an increasingly economical way. An example of technological optimization is the UAV – the unmanned aerial vehicle – technique, which makes it possible to compete with traditional imaging tasks using aerial photographs [Bareth et al. 2015]. Remote sensing applications are becoming more and more common. This is due to the increase in the capacity of photosensitive matrices, which translates into an increase in image resolution. Due to the tendency towards improvement, better image quality, and increasingly sophisticated algorithms for multispectral image analysis, remote sensing applications will constitute an increasing range of services. The factor favouring the satellite technique is the occurrence of continuous shooting in a short time interval, which affects the popularization of this technique due to the gathering and updating of the collection. By using various techniques, a quantitative and qualitative analysis will be made, coupled with an assessment of the accuracy of the location of objects, costs and efficiency for each method. Remote sensing is based on the classification of objects. Classes represent the respective values from the intervals, in which different wavelengths interact with the object through reflection, absorption or transmission.