5 citations · 6 across the 5 of their papers we have counts for
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cs.CV2024
Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation
M. J. Allen, D. Moreno-Fernández, P. Ruiz-Benito +2
The global increase in observed forest dieback, characterised by the death of tree foliage, heralds widespread decline in forest ecosystems. This degradation causes significant cha…
cs.CV2024★ 5 cited
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset
Stefano Puliti, Emily R. Lines, Jana Müllerová +30
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional…