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Identify areas affected by damages from wildlife or from inland water based on aerial hyperspectral imaging and orthophotos in agricultural fields.
Identification of individual trees in the forest and detecting their physical attributes (trunk diameter, height, volume, etc.)
Optimization of grape and wine production, realization of more effective decision support, mapping the environmental parameters of vineyards, producing digital thematic maps.
Mapping urban areas with aerial sensors, producing building 3D models for construction monitoring and other city management processes.
Classifying surface cover types of urban areas (green areas, uncovered areas, areas with artificial surface cover) and modelling rainwater ditches, determine rainwater volumetric capacity.
Identify hazardous asbestos roof surfaces in urban areas and calculate the geometric parameters of the affected roofs.
Identification of position and height of individual species in forests based on remote sensing data and by implementing this information to statistical calculations determine the stem volume of the analysed stand.