文献类型：会议论文

英文题名：FOREST CANOPY COVER ANALYSIS USING UAS LIDAR

作者：Liu, Qingwang[1] Li, Shiming[1] Hu, Kailong[1] Pang, Yong[1] Li, Zengyuan[1]

第一作者：刘清旺

通信作者：Liu, QW[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

会议论文集：IEEE International Geoscience & Remote Sensing Symposium

会议日期：JUL 23-28, 2017

会议地点：Fort Worth, TX

语种：英文

外文关键词：UAS; LiDAR; forest canopy cover; NPC; CHM

年份：2017

摘要：Laser pulses of LiDAR are able to penetrate forest canopy and characterize the vertical structure distribution. Forest canopy cover (CC) can be estimated from normalized point cloud (NPC) and canopy height model (CHM). Unmanned aerial system (UAS) LiDAR usually transmits laser pulses with wider scan angles, which would decrease the probability of penetrating through canopy and lead to overestimate forest CC. The paper analyzes the variation of estimated CC from NPC to determine the optimal scan angle. The raw and interpolated CHMs are also used to estimate forest CCs considering the effects of larger scan angles. The result indicates that forest CC from NPC constrained by scan angle can obviously decease uncertainty of overestimation than other models. NPC-based models are more consistent with field measurements of CCs than CHM-based models. Reasonable constrains should be considered for estimating forest CC using different sampling density of point clouds.