The project was divided into two stages. In the first stage of the project, different types of forest areas with a minimum area of 10 hectares will be designated for a given type (leafy, coniferous, mixed, in mountain areas, in lowland areas), such areas will be scanned with a ground scanner, which will allow obtaining accurate (similar to real) models of each reference area. Then, the volume of each tree will be calculated manually by team members. With accurate reference data, air raids will be planned at different times of the year and in different configurations to determine the minimum raid parameters to achieve a minimum of 98% accuracy relative to ground-based reference scans. The second stage is to develop a methodology for surveying forest areas using geophysical and geotechnical methods so that it is possible to build a soil model to a depth of 1 m and a hydrogeological model to a depth of at least 12 m. To this end, geophysical and geotechnical surveys will be carried out in the selected reference areas. The result will be the development of models. The collected data will be entered into the proprietary software that allows to simulate the behavior of water in different conditions and after the introduction of various factors. It will be possible to determine how water accumulates in the given layers, what is their absorbency and how to ensure that the water behaves in the expected way, for example through drainage or drilling activities. After obtaining the data from the first two steps described above, the reference areas will be re-scanned and the biomass growth data compared with the obtained hydrogeological and soil data, and a correlation will be found between the hydrogeological and soil data affecting the biomass growth rate. This data will be used for machine learning and the creation of software for forest management planning.