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LiDAR remote sensing for forestry applications

Type: Paper
Sponsor Groups: Remote Sensing Specialty Group
Organizers: Dameng Yin
Chairs: Dameng Yin


Light detection and ranging (LiDAR) characterizes the 3D structures of trees (e.g., tree heights, crown sizes, biomass), which are essential for ecosystem understanding and for efficient forest management. New techniques are quickly emerging to collect LiDAR with better quality and capabilities. However, questions remain unanswered regarding the 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 introduces new challenges as well. In addition, 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, especially tropical and coastal forests;
(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.


Type Details Minutes Start Time
Presenter Adam Alsamadisi*, University of Tennessee, Liem T. Tran, University of Tennessee Knoxville, Monica Papes, University of Tennessee Knoxville, Employing inferences across scales: Integrating spatial data with different resolutions to enhance Maxent models 15 12:00 AM
Presenter Sara Eshleman*, University of Texas - Austin, Timothy Beach, University of Texas - Austin, The scale of vegetation associations with physical setting in Belize 15 12:00 AM
Presenter Dameng Yin*, University at Buffalo, Le Wang, University at Buffalo, Seeing mangrove height growth in multi-temporal UAV-LiDAR data 15 12:00 AM
Presenter Fang Qiu*, University of Texas - Dallas, Haitao Lyu, University of Texas at Dallas, Extraction of electricity delivering facility and detection of vegetation encroachment based on liner and Geiger-mode LiDAR point cloud 15 12:00 AM
Presenter Bingqing Liang*, University of Northern Iowa, Hyperspectral Imagine Data Collection, Processing and Applications: Potentials and Challenges 15 12:00 AM

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