摘要
随着社会的发展,人们对森林的关注程度逐渐的提高,对于森林的研究传统的方法越来越不能够满足我们的研究需求,由于森林面积大,植物种类广,所处地理环境位置的特殊,在研究的过程中带来了诸多的不便。在森林研究方面,越来越多的使用到机载激光雷达提供的数据。本文利用机载激光雷达数据进行了DSM和DEM研究,并利用CHM对森林密度、单木参数等植被参数进行反演研究,可帮助林业部门准确、及时掌握森林资源等信息。
With the development of society, people＇s attention to the forest gradually increased, the traditional method of forest research more and more can not meet our research needs, due to large forest area, wide plant species, geographical location of the special , In the course of the study has brought a lot of inconvenience. In forest research, more and more use of data provided to airborne lidar. In this paper, DSM and DEM were used to study the vegetation parameters, and the vegetation parameters such as forest density and single wood parameters were used to help the forestry department to grasp the information of forest resources accurately and timely.
作者
梁宏
刘长长
LIANG Hong LIU Chang-chang(Xi ＇an University of science and technology, Information ＆ Network center, Xi ＇an 710054, China)
出处
《科技视界》
2017年第9期144-144,共1页
Science & Technology Vision
关键词
机载激光雷达
机载点云数据
数字高程模型
数字表面模型
冠层高度模型
Airborne LiDAR
Airborne LiDAR point cloud data
Digital surface model, Digital elevation model
Crown height model
