Drones applied to
environmental sciences

Tree cutting drones for canopy sampling and more

The most fascinating discoveries are frequently made while conducting environmental sciences in inhospitable and remote locations. Cliffs can function as a natural barrier to protect against predators and invasive species, while the tree canopy can harbour a considerable portion of the biodiversity in forests. These environments are considered the final frontier for studying terrestrial biodiversity for environmental research. Drone canopy sampling has opened up new avenues of research in these areas, providing valuable insights without damaging the surrounding vegetation or disturbing the ecosystem. Additionally, tree-cutting drones can also be used to obtain samples and perform analyses on hard-to-reach parts of trees.

Our sampling drones surpass the challenges ahead

However, collecting leaves for trait mapping, molecular and DNA analyses, species identification, and discovering new species from the canopy in hyperdiverse tropical forest ecosystems remains a significant challenge. The difficulty in obtaining any biotic material from the canopy in such systems hinders progress in advancing our knowledge and developing conservation strategies to protect these ecosystems and their inhabitants. Through the use of drone canopy sampling and tree cutting drones, researchers can now study canopy biology with greater ease and precision, enabling them to better understand the unique and fragile ecosystems that exist in these remote areas.
Drone tree sampling refers to the use of unmanned aerial vehicles (UAVs) to collect stems, and leaves material samples from the canopy of trees. This method enables researchers to obtain valuable data without causing any damage to the surrounding vegetation or the environment. Collecting samples from the uppermost part of a tree is often necessary, as it allows for the collection of sunlit foliage. Using tree cutting drones for tree sampling is particularly useful in areas that are difficult to access, such as steep slopes, dense forests, tall and mature trees, and can be used to study various aspects of tree biology, such as genetic diversity, nutrient cycling, and disease ecology.
Drone plant sampling involves the use of UAVs to collect plant samples from various hard-to-reach locations. This method is particularly useful in areas where accessing plants is difficult due to terrain, accessibility or environmental concerns. By using drones to sample plants, researchers can obtain valuable information about these ecosystems, including species diversity, abundance, and distribution patterns. In addition, drone plant sampling can be used to monitor the impact of environmental factors on plant populations, such as climate change or habitat loss. Our dextrous technologies have the precision needed to interact with small fragile plants.
Drone pest control involves the use of UAVs to monitor and manage pest populations in agricultural and forested areas. This method is an environmentally friendly alternative to traditional pest control techniques, which often rely on chemical pesticides that can harm non-targeted organisms and the surrounding environment. By using drones to monitor pest populations, arborists and researchers can identify problem areas and develop targeted control strategies, such as biological control, precision pesticide application and mechanical removal.

Drone water sampling (coming soon)

Drone water sampling involves the use of UAVs to collect water samples from lakes, rivers, and other bodies of water. This method enables researchers to obtain water quality data from remote or difficult-to-access locations without causing any disturbance to the environment or aquatic life. By using drones to sample water, researchers can monitor various parameters, including temperature, pH, dissolved oxygen, and nutrient levels, and assess the impact of human activities on aquatic ecosystems. Although drone water sampling is not yet available at our company, it is an area of active research and development that holds significant promise for future environmental monitoring and management.

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