Examination of image and non-image data processing methods from all ceilings and all spectral ranges (including hyperspectral, thermal and radar) for the purposes of environmental testing and monitoring, for example: initial correction of images (removal of disturbing effects of the atmosphere, landform), methods automatic extraction of image content, including image classification methods using machine learning; remote sensing image processing to create Land Use Land Cover (LULC) and analyzes of LULC changes, monitoring of crops for the needs of direct agricultural subsidies system, determination of impermeable surfaces, monitoring of water reservoirs, determination of soil moisture, analysis of slope stability in opencast mines, monitoring the progress of post-mining land reclamation.
Use of GIS (Geographical Information System) tools to support decisions; for example: testing of multi-criteria analysis algorithms, risk analysis, erosion modeling, data integration for the purposes of population density analysis, modeling of objects and phenomena on the surface of the earth; analysis of GIS data quality and reliability of modeling in GIS