SARAH 4.0 + RIEGL VUX-1UAV LiDAR

We use the SARAH 4.0 drone equipped with the RIEGL VUX-1UAV aerial laser scanner for highly accurate spatial data where photogrammetry is not sufficient. LiDAR generates a dense point cloud with an accuracy of up to 10 mm, a range of up to 1.5 km, and and seven-fold reflection recording, which allows reliable penetration of vegetation and detailed capture of terrain and objects. This combination is ideal for digital terrain models (DTM), engineering construction, forestry, or crisis mapping. One example of its applicability is the collection of data for calculating the volume of windfall.

WingtraOne GEN II + MicaSense RedEdge-P multispectral camera

For advanced vegetation monitoring and crop health analysis we use WingtraOne GEN II equipped with a MicaSense RedEdge-P multispectral camera. This combination enables accurate data collection in several spectral bands, including the visible and near-infrared spectrum, and is suitable for assessing vegetation vitality, stress factors, and early identification of crop damage. Thanks to the drone’s high area coverage performance and the quality of the multispectral data, it is possible to effectively map even large areas and create analytical outputs that can be used for forestry, agriculture, and nature conservation.

Experience

We are members of the international research project DEMETER, funded by the Horizon 2020 program, which focuses on the use of digital technologies and data for more efficient landscape management. In cooperation with CTU (Czech Technical University in Prague)– Multirobot Systems, we are further developing our bark beetle detection technology within the project. The project takes forest monitoring a step further – from classic aerial imaging to autonomous drones capable of inspecting trees directly under their crowns, i.e., in an environment without GPS and with limited space. This approach allows for more detailed and timely monitoring of tree health and paves the way for more targeted interventions in forest management.

We are also collaborating on the ROBOTS project. This is an international project implemented within the framework of UNESCO – International Decade of Science for Sustainable Development (2024–2033), focused on the early detection of bark beetle infestations in mountain spruce forests. The project combines modern technology, science, and practical nature conservation.

In cooperation with the Public Enterprise for National Parks of Montenegro, we are introducing forest monitoring using drones, multispectral imaging, and artificial intelligence, which allows us to detect tree infestation even before visible damage occurs. This makes it possible to intervene more quickly, more precisely, and with significantly greater efficiency than with traditional methods.

The project is being implemented in the Prokletije National Park and serves as a pilot model for modern forest management that can also be used in other protected areas in Europe.