@mariamoan.bsky.social
New paper: academic.oup.com/forestry/art...
The idea: If we have dense lidar data, we can detect branch whorls using deep learning.
Positions of these branch whorls can be used to determine site index 🌲
The idea: If we have dense lidar data, we can detect branch whorls using deep learning.
Positions of these branch whorls can be used to determine site index 🌲
Site index determination in young Norway spruce forests using branch whorls detected from mobile laser scanning data by deep learning
Abstract. The site index (SI) describes a site’s potential to produce wood volume. Accurate information on SI in young forests is essential for planning th
academic.oup.com
October 8, 2025 at 7:02 AM
New paper: academic.oup.com/forestry/art...
The idea: If we have dense lidar data, we can detect branch whorls using deep learning.
Positions of these branch whorls can be used to determine site index 🌲
The idea: If we have dense lidar data, we can detect branch whorls using deep learning.
Positions of these branch whorls can be used to determine site index 🌲
Reposted
Curious about ways to account for uncertainty in site index determination in forest planning? Have a look at our newly published paper.
doi.org/10.1093/fore...
doi.org/10.1093/fore...
May 5, 2025 at 6:01 AM
Curious about ways to account for uncertainty in site index determination in forest planning? Have a look at our newly published paper.
doi.org/10.1093/fore...
doi.org/10.1093/fore...