Our drone data reaches new heights!

The FastPheno project has stunning new images of our sample trees, made possible by postdoc Aravind’s hard work. We use drone-based Light Detection and Ranging (LiDAR) remote sensing for fast and cost-effective monitoring and estimation of tree-level physiological parameters in large forests. These photos are not only pretty to look at as they also boast low error associated with the heights, proving the ability of the proposed high-throughput approach to accurately perform growth phenotyping at a large-scale. Analyzing this data further will advance the FastPheno project further and show the world what fast phenotyping in trees can be cost-effective, timely and progressive to the forestry sector.

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