Integrating terrestrial and airborne lidar to calibrate a 3D canopy model of effective leaf area index

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Integrating terrestrial and airborne lidar to calibrate a 3D canopy model of effective leaf area index. / Hopkinson, Chris; Lovell, Jenny; Chasmer, Laura; Jupp, David; Kljun, Natascha; van Gorsel, Eva.

In: Remote Sensing of Environment, Vol. 136, 01.09.2013, p. 301-314.

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Hopkinson, Chris ; Lovell, Jenny ; Chasmer, Laura ; Jupp, David ; Kljun, Natascha ; van Gorsel, Eva. / Integrating terrestrial and airborne lidar to calibrate a 3D canopy model of effective leaf area index. In: Remote Sensing of Environment. 2013 ; Vol. 136. pp. 301-314.

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TY - JOUR

T1 - Integrating terrestrial and airborne lidar to calibrate a 3D canopy model of effective leaf area index

AU - Hopkinson, Chris

AU - Lovell, Jenny

AU - Chasmer, Laura

AU - Jupp, David

AU - Kljun, Natascha

AU - van Gorsel, Eva

PY - 2013/9/1

Y1 - 2013/9/1

N2 - Terrestrial laser scanning (TLS) with the Echidna Validation Instrument (EVI) provides an effective and accurate method for calibrating multiple-return airborne laser scanning (ALS) point cloud distributions to map effective leaf area index (LAIe) and foliage profile within a 1-km diameter test site of mature eucalyptus forest at the Tumbarumba research site, New South Wales, Australia. Plot-based TLS foliage profiles are used as training datasets for the derivation of a scaling function applied to calibrate effective leaf area index (LAIe) from a coincident ALS point cloud. The results of this study show that: a) the mean proportion of the total number of returns within 11.3 m radius of the TLS scan station was 64%. Increasing the radius decreased the level of detail due to occlusion; b) the relationship between TLS LAIe profile and ALS foliage percentile distribution (PD) using all, primary and secondary returns are not linearly related; and c) regressions between TLS LAIe profile and ALS PD, demonstrate better correspondence using a 5th order polynomial applied to all returns (r2 = 0.95; SE = 0.09 m2 m− 2) than aquasi-physically-based Weibull scaling function. The calibration routine was applied to ALS data within a GIS environment to create a 500 m radius 3D map of LAIe. This localised 3D calibration of LAIe was then used as the basis to calculate the overhead canopy extinction coefficient parameter (k), and thereby facilitate upscaling of spatial LAIe estimates to larger domains using a Beer Lambert Law assumption.

AB - Terrestrial laser scanning (TLS) with the Echidna Validation Instrument (EVI) provides an effective and accurate method for calibrating multiple-return airborne laser scanning (ALS) point cloud distributions to map effective leaf area index (LAIe) and foliage profile within a 1-km diameter test site of mature eucalyptus forest at the Tumbarumba research site, New South Wales, Australia. Plot-based TLS foliage profiles are used as training datasets for the derivation of a scaling function applied to calibrate effective leaf area index (LAIe) from a coincident ALS point cloud. The results of this study show that: a) the mean proportion of the total number of returns within 11.3 m radius of the TLS scan station was 64%. Increasing the radius decreased the level of detail due to occlusion; b) the relationship between TLS LAIe profile and ALS foliage percentile distribution (PD) using all, primary and secondary returns are not linearly related; and c) regressions between TLS LAIe profile and ALS PD, demonstrate better correspondence using a 5th order polynomial applied to all returns (r2 = 0.95; SE = 0.09 m2 m− 2) than aquasi-physically-based Weibull scaling function. The calibration routine was applied to ALS data within a GIS environment to create a 500 m radius 3D map of LAIe. This localised 3D calibration of LAIe was then used as the basis to calculate the overhead canopy extinction coefficient parameter (k), and thereby facilitate upscaling of spatial LAIe estimates to larger domains using a Beer Lambert Law assumption.

KW - Leaf area index

KW - LAI

KW - Canopy structure

KW - Airborne/terrestrial laser scanning

KW - Echidna

KW - Point cloud

KW - Percentile distribution

U2 - 10.1016/j.rse.2013.05.012

DO - 10.1016/j.rse.2013.05.012

M3 - Article

VL - 136

SP - 301

EP - 314

JO - Remote Sensing of Environment

T2 - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -