What is it about?
In this study we demonstrated that unmanned aerial vehicle (fixed wing) and a customer grade RGB camera can be used to estimate canopy cover in forests.
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Why is it important?
The main limitation of UAV sensor is that customer grade cameras are not radiometrically calibrated and multispectral sensors are under development. The proposed methodology did not require radiometric correction of the camera and employs RGB camera to objectively and accurately classify UAV imagery. The outcome is important as indicates that visible vegetation indices and CIELAB colour space are less sensitive to atmospheric and radiometric effects
Perspectives
Calibration measurements of canopy cover are required to check the remote sensing derived information. Ground measurements of canopy cover are spatially limited and cost-effective. UAV can be used for larger scale calibration of coarser remote sensing products.
Dr Francesco Chianucci
Forestry Research Centre, Italy
Read the Original
This page is a summary of: Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV, International Journal of Applied Earth Observation and Geoinformation, May 2016, Elsevier,
DOI: 10.1016/j.jag.2015.12.005.
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