Estimation of PAIe using airborne LiDAR data in South Korea

Doo Ahn Kwak; Woo Kyun Lee; Menas Kafatos; Yowhan Son; Hyun Kook Cho

doi:10.1109/IGARSS.2012.6351212

Estimation of PAI_e using airborne LiDAR data in South Korea

Doo Ahn Kwak, Woo Kyun Lee, Menas Kafatos, Yowhan Son, Hyun Kook Cho

Research output: Contribution to conference › Paper › peer-review

Abstract

In this study, the Effective Plant Area Indices (PAI_e) 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 (G _LiDAR) was generated by extracting the LiDAR data reflected from the canopy surface, or inner canopy area. The LiDAR-derived PAI_e was then estimated by using G_LIDAR with the Beer-Lambert law. A comparison of the LiDAR-derived and field-derived PAI_e 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 PAI_e 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.

Original language	English
Pages	1645-1648
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351212
Publication status	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012 Jul 22 → 2012 Jul 27

Other

Other	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	12/7/22 → 12/7/27

Keywords

beer-lambert law
gap fraction
leaf area index
plant area index LiDAR

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2012.6351212

Cite this

@conference{2f6ae5661ac14375820e4884789cd9b3,

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 (G LiDAR) 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.",

keywords = "beer-lambert law, gap fraction, leaf area index, plant area index LiDAR",

author = "Kwak, {Doo Ahn} and Lee, {Woo Kyun} and Menas Kafatos and Yowhan Son and Cho, {Hyun Kook}",

year = "2012",

doi = "10.1109/IGARSS.2012.6351212",

language = "English",

pages = "1645--1648",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

}

TY - CONF

T1 - Estimation of PAIe using airborne LiDAR data in South Korea

AU - Kwak, Doo Ahn

AU - Lee, Woo Kyun

AU - Kafatos, Menas

AU - Son, Yowhan

AU - Cho, Hyun Kook

PY - 2012

Y1 - 2012

N2 - 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 (G LiDAR) 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.

AB - 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 (G LiDAR) 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.

KW - beer-lambert law

KW - gap fraction

KW - leaf area index

KW - plant area index LiDAR

UR - http://www.scopus.com/inward/record.url?scp=84873205919&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2012.6351212

DO - 10.1109/IGARSS.2012.6351212

M3 - Paper

AN - SCOPUS:84873205919

SP - 1645

EP - 1648

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -