The role of LiDAR in sustainable forest management
By M. Wulder, Christopher W. Bater, Nicholas C. Coops, Thomas Hilker, Joanne C. White. 2008
405 citations recorded by the source corpus.
Subfields: Environmental Engineering, Geology, Insect Science
View Paper: https://www.semanticscholar.org/paper/569e8cbed431c627c70d4aa0fbedacc5ad444e1e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Lauri Mehtätalo
- Matti Maltamo
- Petteri Packalen
- Ruben Valbuena
- Joanne C. White
- Nicholas C. Coops
- M. Wulder
- Mikko Vastaranta
In Geology
In Insect Science
- Petteri Packalen
- Matti Maltamo
- Ruben Valbuena
- Lauri Mehtätalo
- Alexis Achim
- David Auty
- Antonio García-Abril
- Murray E. Woods
Citations in the corpus
- A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach (2013, positive): “enhanced wildlife habitat modelling, and many other applications that are of value to forest operations and planning (Wulder et al. 2008).”
- Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning (2013, methodology): “ALS allows surveying of broad forest areas, therefore providing automated methodologies for interstand comparison, multitemporal change assessment, and quantification of the influence of economic uses and silvicultural treatments (Wulder et al. 2008).”
- Quantifying the influence of live crown ratio on the mechanical properties of clear wood (2013, background): “…in such predictions is particularly promising because of the increasing availability of large-scale inventory data from remote-sensing techniques such as Light Detection and Ranging (LiDAR) (Naesset and Okland, 2002; Lim et al., 2003; Lutz et al., 2008; Wulder et al., 2008; Woods et al., 2011).”
- The Utility of Image-Based Point Clouds for Forest Inventory: A Comparison with Airborne Laser Scanning (2013, background): “the most common type used in forestry applications [5].”
- Predicting wood quantity and quality attributes of balsam fir and black spruce using airborne laser scanner data (2014, background): “Moreover, the requirements for forest inventories are becoming more holistic to support sustainable forest management (Wulder et al., 2008; McRoberts et al., 2010).”
- Forest Structure Estimation from a UAV-Based Photogrammetric Point Cloud in Managed Temperate Coniferous Forests (2017, background): “system for obtaining specific stand-level forest biophysical properties [1,5].”