Mapping forest leaf area density from multiview terrestrial lidar-Reference-Cited by-同舟云学术

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Mapping forest leaf area density from multiview terrestrial lidar

Published:2021-02 Issue:4 Volume:12 Page:619-633
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Béland Martin¹^ORCID,Kobayashi Hideki²

Affiliation:

1. Department of Geomatics Sciences Laval University Quebec City QC Canada

2. Institute of Arctic Climate and Environment ResearchJapan Agency for Marine‐Earth Science and Technology Yokohama Japan

Funder

Institute of Space and Astronautical Science

Canada Foundation for Innovation

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Ecological Modelling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13550

Reference52 articles.

1. Amanatides J. &Woo A.(1987).A fast voxel traversal algorithm for ray tracing. InProceedings of Eurographics Amsterdam The Netherlands pp.3–10.

2. Canopy Radiative Transfer Models for Spherical and Known Leaf Inclination Angle Distributions: A Test in an Oak-Hickory Forest

3. On using eco-physiological, micrometeorological and biogeochemical theory to evaluate carbon dioxide, water vapor and trace gas fluxes over vegetation: a perspective

4. Is foliage clumping an outcome of resource limitations within forests?

5. On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR

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2. Drivers of deciduous forest near-infrared reflectance: A 3D radiative transfer modeling exercise based on ground lidar;Remote Sensing of Environment;2024-03

3. A new method for voxel‐based modelling of three‐dimensional forest scenes with integration of terrestrial and airborne LiDAR data;Methods in Ecology and Evolution;2024-02-05

4. Community-based plant diversity monitoring of a dense-canopy and species-rich tropical forest using airborne LiDAR data;Ecological Indicators;2024-01

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