Along with the development of new remote sensing technologies in the field of environmental protection and challenges in other areas of the economy, we meet these needs using our experience and competences. Aviation techniques
and satellite is one of the fastest growing sectors of the economy in recent years. In many countries, there are scientific and research centers as well as commercial centers dealing with space research and remote sensing (building nano-satellites, micro-satellites, remote sensing sensors, space mining, etc.). According to forecasts in the coming years, the so-called Earth observing using satellite methods will become the largest segment of the Space market, which will increase the demand for analyzes related to the study of the impact of climate change, weather phenomena, natural disasters and urbanization.








In addition to the dynamically developing space sector, the aviation sector has also been developing rapidly for years, especially in the low-ceiling (drones). One application of both the satellite and aviation sectors is remote sensing.
Remote sensing as remote (non-contact) data acquisition with the help of various sensors such as cameras and radars, recording in different spectral ranges (visible radiation, infrared, microwave, etc.), with different spectral resolution (multi-spectral, hyper-spectral) is also a strong development direction
in the coming years, especially hyperspectral remote sensing.

Until now, optical multispectral images (recording of several or a dozen spectral channels) were used to study the spectral properties of objects.

In the last decade of the market related to image analysis, highly specialized hyperspectral cameras have appeared, which enable obtaining spectral information in several hundred channels at the same time. Traditional multispectral images record 4-20 spectral channels, and hyperspectral images are acquired for more than 20 channels (up to over 400) in very narrow spectral ranges (Fig. 1). This allows the identification of objects with greater probability than in multispectral images. Hyperspectral remote sensing provides data and after appropriate processing - tools for use in environmental analyzes. Electromagnetic radiation can be recorded by means of aerial and satellite sensors. The range of 400-2500 nm is used to study vegetation. The spectral characteristics of plants reflect the physiological state, anatomical and morphological structure of species, e.g. the content of photosynthetically active pigments, water, nutrients, cellulose or the state of cellular structures.

In turn, the state of the environment can be determined on the basis of the vegetation. Due to the multitude of spectral channels registered in many narrow ranges of radiation, hyperspectral images contribute to the support of traditional vegetation mapping by semi-automatic methods of classification of plant communities.

An important aspect of technology is the ability to build a unique Big Data database and to develop proprietary algorithms for processing remote sensing and hyperspectral data that will identify individual objects and components of these objects.


Thanks to this technology, the possibilities of environmental analyzes have significantly increased, such as: