Evaluation of UAV-based forest inventory system compared with LiDAR data

Forest spatial structure is essential for researches on forest ecosystem dynamics. Considering that the field measurement of forest structures over large field plot is labor-intensive and time-consuming, a forest inventory system is developed based on unmanned aerial vehicle (UAV). This study presented the initial evaluation of this system by comparisons with LiDAR data. Results showed that most trees appeared in LiDAR canopy height model (CHM) could also be detected in UAV CHM. The UAV system could measure forest height at plot level with R2=0.87 and RMSE=1.9 m taking CHM from LiDAR as reference data.

[1]  Lieven Nachtergale,et al.  Spatial methods for quantifying forest stand structure development: a comparison between nearest-neighbor indices and variogram analysis , 2003 .

[2]  A. Wolf Fifty year record of change in tree spatial patterns within a mixed deciduous forest , 2005 .

[3]  John F. Weishampel,et al.  Spatial pattern analysis of pre- and post-hurricane forest canopy structure in North Carolina, USA , 2003, Landscape Ecology.

[4]  Aila Särkkä,et al.  Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions. , 2009 .

[5]  Zhanqing Hao,et al.  Vertical structure and spatial associations of dominant tree species in an old-growth temperate forest , 2007 .

[6]  Erle C. Ellis,et al.  High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision , 2013 .

[7]  Robert J. McGaughey,et al.  Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park , 2014 .

[8]  Christian Salas,et al.  Spatial patterns in an old-growth Nothofagus obliqua forest in south-central Chile , 2006 .

[9]  John M. Goodburn,et al.  Spatial patterns of regeneration in managed uneven-aged ponderosa pine/Douglas-fir forests of Western Montana, USA , 2006 .

[10]  Maggi Kelly,et al.  A New Method for Segmenting Individual Trees from the Lidar Point Cloud , 2012 .

[11]  Guoqing Sun,et al.  Temperate forest aboveground biomass estimation by means of multi-sensor fusion: The Daxinganling campaign , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.