scholarly journals Quantifying the Effects of Normalisation of Airborne LiDAR Intensity on Coniferous Forest Leaf Area Index Estimations

2017 ◽  
Vol 9 (2) ◽  
pp. 163 ◽  
Author(s):  
Haotian You ◽  
Tiejun Wang ◽  
Andrew Skidmore ◽  
Yanqiu Xing
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Coniferous Forest ◽  
Airborne Lidar ◽  
Area Index

Optimising prediction of forest leaf area index from discrete airborne lidar

2017 ◽  
Vol 200 ◽  
pp. 220-239 ◽  
Author(s):  
Grant D. Pearse ◽  
Justin Morgenroth ◽  
Michael S. Watt ◽  
Jonathan P. Dash
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Airborne Lidar ◽  
Area Index

Use of airborne lidar for estimating canopy gap fraction and leaf area index of tropical montane forests

2015 ◽  
Vol 36 (10) ◽  
pp. 2569-2583 ◽  
Author(s):  
Janne Heiskanen ◽  
Lauri Korhonen ◽  
Jesse Hietanen ◽  
Petri K.E. Pellikka
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Canopy Gap ◽  
Airborne Lidar ◽  
Montane Forests ◽  
Area Index ◽  
Tropical Montane Forests ◽  
Gap Fraction

scholarly journals Modeling Small-Footprint Airborne Lidar-Derived Estimates of Gap Probability and Leaf Area Index

2019 ◽  
Vol 12 (1) ◽  
pp. 4
Author(s):  
Tiangang Yin ◽  
Jianbo Qi ◽  
Bruce D. Cook ◽  
Douglas C. Morton ◽  
Shanshan Wei ◽  
...  
Keyword(s):  
Radiative Transfer ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Point Cloud ◽  
Point Clouds ◽  
Airborne Lidar ◽  
Transfer Model ◽  
Area Index ◽  
Small Footprint ◽  
Gap Probability

Airborne lidar point clouds of vegetation capture the 3-D distribution of its scattering elements, including leaves, branches, and ground features. Assessing the contribution from vegetation to the lidar point clouds requires an understanding of the physical interactions between the emitted laser pulses and their targets. Most of the current methods to estimate the gap probability ( P gap ) or leaf area index (LAI) from small-footprint airborne laser scan (ALS) point clouds rely on either point-number-based (PNB) or intensity-based (IB) approaches, with additional empirical correlations with field measurements. However, site-specific parameterizations can limit the application of certain methods to other landscapes. The universality evaluation of these methods requires a physically based radiative transfer model that accounts for various lidar instrument specifications and environmental conditions. We conducted an extensive study to compare these approaches for various 3-D forest scenes using a point-cloud simulator developed for the latest version of the discrete anisotropic radiative transfer (DART) model. We investigated a range of variables for possible lidar point intensity, including radiometric quantities derived from Gaussian Decomposition (GD), such as the peak amplitude, standard deviation, integral of Gaussian profiles, and reflectance. The results disclosed that the PNB methods fail to capture the exact P gap as footprint size increases. By contrast, we verified that physical methods using lidar point intensity defined by either the distance-weighted integral of Gaussian profiles or reflectance can estimate P gap and LAI with higher accuracy and reliability. Additionally, the removal of certain additional empirical correlation coefficients is feasible. Routine use of small-footprint point-cloud radiometric measures to estimate P gap and the LAI potentially confirms a departure from previous empirical studies, but this depends on additional parameters from lidar instrument vendors.

Retrieving leaf area index for coniferous forest in Xingguo County, China with Landsat ETM+ images

2007 ◽  
Vol 85 (3) ◽  
pp. 624-627 ◽  
Author(s):  
Q. Tian ◽  
Z. Luo ◽  
J.M. Chen ◽  
M. Chen ◽  
F. Hui
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Coniferous Forest ◽  
Area Index

Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation

2018 ◽  
Vol 11 (1) ◽  
pp. 300-310 ◽  
Author(s):  
Shezhou Luo ◽  
Jing M. Chen ◽  
Cheng Wang ◽  
Alemu Gonsamo ◽  
Xiaohuan Xi ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Airborne Lidar ◽  
Intensity Data ◽  
Area Index ◽  
Index Estimation

An assessment of the MODIS collection 5 leaf area index product for a region of mixed coniferous forest

2011 ◽  
Vol 115 (2) ◽  
pp. 767-780 ◽  
Author(s):  
M.G. De Kauwe ◽  
M.I. Disney ◽  
T. Quaife ◽  
P. Lewis ◽  
M. Williams
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Coniferous Forest ◽  
Area Index
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