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Airborne Optical Sectioning for Nesting Observation.

David C Schedl¹, Indrajit Kurmi¹, Oliver Bimber²

¹Johannes Kepler University, Faculty of Engineering and Natural Sciences, Linz, 4040, Austria.

Scientific Reports

|May 1, 2020

Summary

This summary is machine-generated.

Airborne optical sectioning (AOS) is a new drone-based imaging method that helps ornithologists observe bird nests. This technique successfully identified 65 herons and 27 nests in a large heron population.

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Area of Science:

Ornithology
Remote Sensing
Ecology

Background:

Traditional ornithological surveys face challenges in dense forest environments.
Accurate nesting observation is crucial for bird population studies and conservation efforts.
Existing aerial imaging techniques struggle with occlusions from foliage.

Purpose of the Study:

To introduce and evaluate airborne optical sectioning (AOS) as a novel, low-cost aerial scanning technique for ornithological nesting observations.
To demonstrate the capability of AOS in identifying and localizing bird nests and individuals within a complex forest habitat.
To highlight the advantages of AOS over conventional imaging methods for volumetric forest analysis.

Main Methods:

Utilized a drone equipped for thermal and color imaging for a 7-minute flight over a 40 × 12 m area.
Employed airborne optical sectioning (AOS), a synthetic aperture imaging technique, to overcome leaf and branch occlusion.
Registered images to a common 3D coordinate system for sparse 3D forest reconstruction and analysis.

Main Results:

Successfully identified, classified, and localized 65 herons and 27 nests.
Generated a sparse 3D reconstruction of the forest canopy, enabling detailed analysis.
Demonstrated the ability of AOS to reconstruct forest volumes obscured by foliage.

Conclusions:

Airborne optical sectioning (AOS) provides a cost-effective and efficient method for supporting ornithologists in nesting observations.
AOS overcomes limitations of conventional imaging, enabling comprehensive analysis of forest environments and their inhabitants.
The open-access publication of recorded data facilitates further research and application of this technique.