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Image by Andreas Dress



AI and advanced aerial data analytics to provide precise digital forest management information.

Your Benefits. Our Offer.

SKYLAB develops and applies deep learning and advanced aerial data analytics, from drone, plane and satellite imagery, for fully digitalised forest management. From seedling survival and weed monitoring to full timber and carbon stock inventories, as well as monitoring of forest health and harvesting operations. 

Our #forestAI provides accurate information covering 100% of your forest or plantation, so you can save considerable time and costs whilst getting more detailed information on the state of your assets. 

SKYLAB enables more efficient and targeted forest management with #precisionforestry made in Germany - worldwide.

Your Benefits. Our Offer.

How it Works.



We analyse drone, plane and satellite imagery and can process normal colour RGB, multispectral, hyperspectral or LiDAR data – selecting the most efficient data source for the task at hand.

Drones are an easy and cost-efficient way of gathering data, since they mostly fly autonomously, are simple to handle and can capture up to several hundred hectares of image data per day.

Either fly your own drone, get a service provider to fly for you, or ask SKYLAB for help. 

Image quality is of crucial importance for accurate analysis results. In order to get top-quality data, we advise you on the best drone and camera for the job, and tell you the right flight settings for perfect mission-planning. 



Simply upload your data to the SKYLABcloud and we will take care of the rest.


Alternatively, for satellite imagery, we will advise on the best data source and get the image data ourselves. 

Tell us about your goals and challenges: Do you want to quantify seedling survival, vitality and weed presence? Monitor forest health and change? Determine  stocking densities and height statistics of more mature plantations? Or even develop full digital inventories for timber or carbon stock?

Once we receive the right data, we conduct a standard quality check and then apply the most suitable processing methodologies from our toolbox to get optimum results.



As a team of geoinformatics engineers and forestry experts, we combine a thorough understanding of forest management with advanced data analytics and deep-learning with convolutional neural networks. 


The resulting data and detailed maps are geared towards direct and practical application in your day-to-day forest management practices. The results can be made available in various formats, including vectorised datafiles for easy integration into your GIS tools. You can even view the results on your mobile device anywhere in the field.

We can help you make the most of the results by assisting you with the integration into your management system, if required, as well as with the further interpretation of the results to achieve your desired objectives.

What our customers say.

Chris Flood
ACT Parks and Conservation Service


“The seedling counting and density mapping provided by Skylab has allowed us to undertake a much more efficient infill programme. We are able to identify areas of low survival and target them for refill rather than engaging planters to walk each row of a compartment looking for failed trees. This has saved us in planting costs and has freed up contractor time to complete other silvicultural operations throughout our estate.”

Clive Woolridge & Nick Martyn
Technical Forestry Services

“SKYLAB’s offering is very complementary to the in-depth and on the ground expertise that TFS is already providing. Their seedling survival assessments, tree counter and aerial or satellite-based health monitoring technologies outperform what we have seen in the Australian market so far.” 

Emmanuel Cacot

"Due to the changing climate, we are observing more and more dying trees in our members' forests. SKYLAB's change maps, both from satellite and drone, help us to geolocate the dying and dead trees in order to harvest them as quickly as possible. It will also be a very useful tool for monitoring the evolution of the disease over the coming years in order to better manage the forest stands and slow the dying process." 

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