Supporting LIDAR research in the Washington Park Arboretum

May 17th, 2012 by Heidi Unruh, UWBG Communications Volunteer

graphic
Three‐dimensional 
visualization 
of 
the 
Arboretum
 derived 
from 
LiDAR 
and 
aerial
 photo. Graphic by Jeff Richardson

Did you know that the Washington Park Arboretum often serves as a research site for researchers at the School of Environmental and Forest Sciences? Recently, researchers at UW have been using the Arboretum to study LiDAR and its applications. LiDAR (Light Detection and Ranging) is a method of airborne laser scanning that can be used as a tool to inventory and manage forests. Below are some of the research papers discussing their findings.

Akira Kato, L. Monika Moskal, Peter Schiess, Mark E. Swanson, Donna Calhoun, Werner Stuetzle, Capturing tree crown formation through implicit surface reconstruction using airborne lidar data.  Remote Sensing of the Environment. Volume 113, Issue 6, 15 June 2009, Pages 1148-1162.

Kim, Sooyoung; Hinckley, Thomas; Briggs, David. Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data, Remote Sensing of Environment. Volume 115, Issue 12, 15 December 2011, Pages 3329-3342.

Moskal, L.M.; Zheng, G. Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest. Remote Sens. 2012, 4, 1-20.

Richardson, Jeffery J.; Moskal, Monika; Kim, Soo-Hyung. Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR. Agricultural and Forest Meteorology, Volume 149, Issues 6–7, 15 June 2009, Pages 1152-1160.

Vaughn, N.R.; Moskal, L.M.; Turnblom, E.C. Fourier transformation of waveform Lidar for species recognition. Remote Sensing Letters, 2011, Volume 2, Number 4, 347 – 356.

Vaughn, N.R.; Moskal, L.M.; Turnblom, E.C. Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform Lidar. Remote Sens. 2012, 4, 377-403.

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