HIGHLIGHTS
- who: Valtteri Soininen et al. from the Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Espoo, Finland Department of Built Environment, School of Engineering, Aalto University, POBox , have published the Article: Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data, in the Journal: Forests 2022, 13, 2040. of 30/Nov/2022
- what: The study showed that long-term series growth of height DBH and stem volume are possible to record with a high-to-moderate coefficient of determination (R2 ) of 0.90 0.48 . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.