Namibia – Vegetation classification & quantification

Video created by the field team: Cesar Serrano and Andrea Blindenbacher

A wildlife reserve surrounded by traditional farms, where nothing but sheep or cattle are welcome, has to apply some really good wildlife management skills to keep the animal population and vegetation within the reserve healthy and sustainable. To do this, good estimation of food availability is necessary.

This has been the purpose of Drone Adventures visit this spring, respectively fall in the southern hemisphere.  After some very much needed big rains in the summer, the grasses, trees, and bushes converted the previously deserted sandy lands into a green blooming landscape.

The entire reserve was mapped again and WIL (Wild Intelligence Lab) is now running AI algorithms to quantify the different types of plants, which are the food sources of all the animals in the reserve.  We look forward to seeing the results of their and our efforts in improving this food estimation program.

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Here are some key mission numbers:

Project performed in: May 2021

Size of the area: 100 sq km (25,000 acres)

Resolution: 4.5 cm/pixel

Duration: 1 week, project completed in 4 days

Total number of flights: 49

Total number of images collected: 14,041

Flights per flying day: 5-6 per drone

Average flight time per flight: 55min

UAVs: 2 eBee X with senseFly Aeria X cameras and a DJI Air


Many thanks to our project partner WIL!

This mission has been made possible with the generous support of our technology partners:

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This mission is also part of the SAVMAP project, that had started in 2014. The project aims to find solutions using new technologies for sustainable land-use management and rare species conservation in semi-arid Savanna. The wildlife reserve Kuzikus is the research terrain used since the project start.

Author: Andrea Blindenbacher

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