Estimation of effective plant area index for South Korean forests using LiDAR system

作     者：KWAK Doo-Ahn LEE Woo-Kyun KAFATOS Menas SON Yowhan CHO Hyun-Kook LEE Seung-Ho 

作者机构：Department of Environmental Science and Ecological EngineeringKorea University Center of Excellence in Earth ObservingSchmid College of ScienceChapman University Division of Forest Resources InformationKorea Forest Research Institute 

出 版 物：《Science China(Life Sciences)》 (中国科学（生命科学英文版）)

年 卷 期：2010年第53卷第7期

页      面：898-908页

核心收录：

学科分类：0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 09[农学] 0903[农学-农业资源与环境] 

基　　金：supported by a grant from the High Tech Urban Development Program funded by Ministry of Land,Transportation and Maritime Affairs of Korean government (Grant No. 07High Tech A01) a research grant from the Korea Science and Engineering Foundation (KOSEF) (Grant No. A307-K001) 

主　　题：leaf area index plant area index LiDAR k-means clustering gap fraction beer-lambert law 

摘      要：Light Detection and Ranging(LiDAR) systems can be used to estimate both vertical and horizontal forest *** components,the leaves of trees and the understory can be described with high precision,using geo-registered *** on this concept,the Effective Plant Area Indices(PAIe) for areas of Korean Pine(Pinus koraiensis),Japanese Larch(Larix leptolepis) and Oak(Quercus spp.) were estimated by calculating the ratio of intercepted and incident LIDAR laser rays for the canopies of the three forest ***,the canopy gap fraction(GLiDAR) was generated by extracting the LiDAR data reflected from the canopy surface,or inner canopy area,using k-means *** LiDAR-derived PAIe was then estimated by using GLIDAR with the Beer-Lambert law.A comparison of the LiDAR-derived and field-derived PAIe revealed the coefficients of determination for Korean Pine,Japanese Larch and Oak to be 0.82,0.64 and 0.59,*** differences between field-based and LIDAR-based PAIe for the different forest types were attributed to the amount of leaves and branches in the forest *** absence of leaves,in the case of both Larch and Oak,meant that the LiDAR pulses were only reflected from *** probability that the LiDAR pulses are reflected from bare branches is low as compared to the reflection from branches with a high leaf *** is because the size of the branch is smaller than the resolution across and along the 1 meter LIDAR laser ***,a better predictive accuracy would be expected for the model if the study would be repeated in late spring when the shoots and leaves of the deciduous trees begin to appear.