LiDAR remote sensing for forestry applications

Type: Paper
Sponsor Groups: Remote Sensing Specialty Group
Poster #:
Day: 4/11/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Maurepas, Sheraton, 3rd Floor
Organizers: Dameng Yin, Le Wang
Chairs: Le Wang


Light detection and ranging (LiDAR) characterizes the 3D structures of trees, thus can provide useful inputs (e.g., tree species, heights, crown sizes, biomass) for ecosystem understanding and for efficient forest management. New techniques are quickly emerging to collect LiDAR with better quality and capabilities. However, there are questions remaining unsolved regarding the successful application of LiDAR data and techniques to complex environments such as tropical forests, coastal forests, etc. The increased point density of discrete return LiDAR data or even full waveform LiDAR data introduce new challenges as well. At the same time, most research focused on the xyz variables, yet the potential of LiDAR data has not been fully exploited.

We are seeking papers on both theoretical and empirical studies that focus on the application of LiDAR data on forestry at different spatial scales, such as individual tree or tree cluster level.

Specific topics may include but are not limited to:
(1) Development of new algorithms for individual tree detection and crown delineation, using LiDAR data;
(2) Application of LiDAR at areas with different forest types;
(3) Utilization of LiDAR intensity;
(4) Combination of LiDAR and other data types for forestry application;
(5) Advancement of LiDAR data collection;
(6) Accuracy assessment of LiDAR derived forest inventory.

Le Wang (University at Buffalo, the State University at New York,
Dameng Yin (University at Buffalo, the State University at New York,


Type Details Minutes Start Time
Presenter Dameng Yin*, SUNY - Buffalo, Le Wang, University at Buffalo, the State University of New York, Mangrove Growth Monitoring From Multi-temporal UAV-LiDAR 20 10:00 AM
Presenter Sarah Graves*, University of Florida, T. Trevor Caughlin, Boise State University, Gregory Asner, Department of Global Ecology, Carnegie Institution for Science, Stephanie Bohlman, University of Florida, Tree-based biomass estimation from airborne LiDAR data in a tropical agricultural landscape 20 10:20 AM
Presenter Geoffrey Andrew Fricker*, University of California - Riverside, Department of Botany and Plant Sciences, Jeffrey Wolf, Amazon Corporation, Nicholas Synes, Arizona State University, Frank Davis, University of California, Santa Barbara, Malcolm North, University of California, Davis, Janet Franklin, University of California Riverside, Department of Botany and Plant Sciences, Using a Convolutional Neural Network classifier and high-resolution remote sensing to identify individual tree species in a mixed conifer forest in the Southern Sierra Nevada Mountains, California 20 10:40 AM
Presenter Ruiliang Pu*, UNIVERSITY OF South Florida, Shawn Landry, University of South Florida, Qiuyan Yu, University of South Florida, Assessing the Potential of Multi-Seasonal High Resolution Pléiades Satellite Imagery for Mapping Urban Tree Species 20 11:00 AM
Presenter Michael Gebreslasie*, University of KwaZulu-Natal, Modelling the effect of terrain variability in even aged Eucalyptus species volume using LiDAR derived DTM variables 20 11:20 AM

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