文献类型：会议论文

英文题名：FOREST CANOPY GAP DYNAMICS BASED ON TIME-SERIES OF AIRBORNE LIDAR DATA

作者：Li, Shiming[1] Liu, Qingwang[1] Li, Zengyuan[1] Qi, Zhiyong[1] Si, Lin[1] Wang, Ning[2]

第一作者：李世明

通信作者：Li, SM[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resources Informat Tech, 2 Dongxiaofu, Beijing 100091, Peoples R China;[2]China Acad Launch Vehicle Technol, Postbox9200, Beijing 100076, Peoples R China

会议论文集：IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 17-22, 2022

会议地点：Kuala Lumpur, MALAYSIA

语种：英文

外文关键词：forest canopy gap; gap dynamics; airborne lidar; fixed-height threshold

年份：2022

摘要：Identifying forest canopy gaps and monitoring gap dynamics are essential for understanding regeneration dynamics and understory species diversity in structurally complex forests. However, it is still difficult to observe and measure canopy gaps extensively in both space and time using field measurements or bi-dimensional remote sensing images, particularly in large extensive boreal forests. In this study, we investigate the feasibility to map boreal canopy gaps of different sizes with airborne lidar datasets and derive the characteristics of gap dynamics. Two co-registered canopy height models (CHMs) of 1m resolution were created from lidar datasets acquired respectively in 2012 and 2016. Canopy gaps are automatically delineated using fixed-height threshold method. Further, two gap layers are compared and the changing information of canopy gaps are delineated to provide information on the area of old and new gaps, gap expansions, new random gap openings, gap closure due to disturbance and regeneration. The result shows airborne lidar is an efficient and effective tool for rapidly extracting detailed and spatially extensive short-term dynamics of canopy gaps.