文献类型：期刊文献

英文题名：Improving Estimation of Forest Canopy Cover by Introducing Loss Ratio of Laser Pulses Using Airborne LiDAR

作者：Liu, Qingwang[1,2] Fu, Liyong[3] Wang, Guangxing[4,5] Li, Shiming[3] Li, Zengyuan[3] Chen, Erxue[3] Pang, Yong[3] Hu, Kailong[6]

第一作者：刘清旺;Liu, Qingwang

通信作者：Fu, LY[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL 62901 USA;[3]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[4]Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL 62901 USA;[5]Cent South Univ Forestry & Technol, Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China;[6]Natl Disaster Reduct Ctr, Minist Emergency Management Peoples Republ China, Beijing 100124, Peoples R China

年份：2020

卷号：58

期号：1

起止页码：567-585

外文期刊名：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

收录：;EI(收录号：20200408061477);Scopus(收录号：2-s2.0-85078029506);WOS:【SCI-EXPANDED(收录号:WOS:000507307800042)】；

基金：This work was supported in part by the Central Public-Interest Scientific Institution Basal Research Fund of China under Grant CAFYBB2018GC005, in part by the National Key Research and Development Program of China under Grant 2017YFD0600904, in part by the National Basic Research Program of China under Grant 2013CB733405 and Grant 2013CB733404, and in part by the Hi-Tech Research and Development Program of China under Grant 2013AA12A302.

语种：英文

外文关键词：Forestry; Laser radar; Estimation; Biological system modeling; Three-dimensional displays; Vegetation; Lasers; Canopy cover (CC) coefficient; canopy height model (CHM); height normalized point cloud (NPC); loss ratio of laser pulses

摘要：Forest canopy cover (CC) directly and indirectly influences various processes of forest ecosystems. Airborne light detection and ranging (LiDAR) can be used to characterize forest spatial structures and further obtain estimates of forest CC. However, nonreturn laser pulses from targets of interest impact the estimation accuracy of forest CC. The objective of this article was to develop a novel method of estimating the nonreturn laser pulses to improve the estimation accuracy of forest CC using LiDAR data. The improved models for estimating forest CC were developed by introducing the loss ratio of laser pulses and a CC coefficient into the original models. The forest CC reference data were collected and used to validate the forest CC estimates. The results show that the loss ratio for forested areas was much higher than that for open ground areas. The range between the sensor and a target was a crucial factor that caused the loss of returns. The relationship between the range and the loss ratio was nonlinear in both open ground and forested areas. Compared with the original models, the improved models combining the loss ratio and the CC coefficient statistically significantly increased the estimation accuracy of the forest CC. Moreover, the forest CC estimates from the canopy height model (CHM) were more accurate than those from the height normalized point cloud (NPC) data. In addition, the simplified models were more generalized than the other models. This article is novel and has great potential to improve mapping of forest CC.