Advancements in forest mensuration and biometrics in the artificial intelligence era
Author:
Affiliation:
1. College of Natural Resources, University of Idaho, Moscow, Idaho, USA.
2. College of Forestry, Oregon State University, Corvallis, Oregon, USA.
3. USDA Forest Service, Pacific Northwest Research Station, Seattle, Washington, USA.
Publisher
Canadian Science Publishing
Subject
Ecology,Forestry,Global and Planetary Change
Link
https://cdnsciencepub.com/doi/pdf/10.1139/cjfr-2021-0175
Reference9 articles.
1. Mixtures of airborne lidar-based approaches improve predictions of forest structure
2. Potential for individual tree monitoring in ponderosa pine dominated forests using unmanned aerial system structure from motion point clouds
3. Sector subsampling for basal area ratio estimation: an alternative to big BAF sampling
4. Evelyn, J. 1664. Sylva, or a discourse of forest-trees and the propagation of timber in His Majesties dominions. Martyn and Allestry, Royal Society Printers, London, England.
5. Impact of stem lean on estimation of Douglas-fir (Pseudotsuga menziesii) diameter and volume using mobile lidar scans
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