Paper Info
Title
Estimation of PAIe using airborne LiDAR data in South Korea
Abstract
In this study, the Effective Plant Area Indices (PAIe) for areas of Korean Pine (Pinus koraiensis) and Oaks (Quercus spp.) were estimated by calculating the ratio of intercepted and penetrated LIDAR laser pulses for the canopies of the three forest types. Initially, the canopy gap fraction (GLiDAR) was generated by extracting the LiDAR data reflected from the canopy surface, or inner canopy area. The 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 and Oak to be 0.82 and 0.59, respectively. These 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 stands. The probability that the LiDAR pulses are reflected from bare branches is low as compared to the reflection from branches with a high leaf density.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6351212
IGARSS
Keywords
Field
DocType
effective plant area indices,gap fraction,LiDAR-derived PAIE,plant area index LiDAR,South Korea,GLIDAR,inner canopy area,Pinus koraiensis,bare branches,Korean Pine,PAIE estimation,high leaf density,LiDAR data,canopy gap fraction,remote sensing by laser beam,leaf area index,beer-lambert law,Quercus spp,field-derived PAIE,penetrated LIDAR laser pulse,Oaks,Beer-Lambert law,vegetation,intercepted LIDAR laser pulse,airborne lidar data,canopy surface
Leaf area index,Vegetation,Computer science,Remote sensing,Lidar,Lidar data,Beer–Lambert law,Canopy
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Doo-Ahn Kwak1122.07
Woo-Kyun Lee2234.08
Menas Kafatos311629.42
Yowhan Son451.36
Hyun-Kook Cho5101.24