Assessing Factors That Affect the Estimation of a Canopy’s Gap Fraction and Extinction Coefficient Using Discrete Airborne LiDAR Data-Reference-Cited by-同舟云学术

Assessing Factors That Affect the Estimation of a Canopy’s Gap Fraction and Extinction Coefficient Using Discrete Airborne LiDAR Data

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tian Luo¹^ORCID,Qu Yonghua¹^ORCID

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Beijing Normal University, and the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10115514.pdf?arnumber=10115514

Reference63 articles.

1. Direct Estimation of Forest Leaf Area Index based on Spectrally Corrected Airborne LiDAR Pulse Penetration Ratio

2. The influence of LiDAR pulse density on the precision of inventory metrics in young unthinned Douglas-fir stands during initial and subsequent LiDAR acquisitions

3. Bestimmung der Absorption des rothen Lichts in farbigen Flüssigkeiten

4. Examining the effects of sampling point densities on laser canopy height and density metrics

5. Optimising prediction of forest leaf area index from discrete airborne lidar

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neon-Sd: A 30-M Structural Diversity Product Derived from the Neon Discrete-Return Lidar Point Cloud;2024

2. Sensing Quality Driven Positioning and Orientation for LiDAR Sensors;2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT);2023-12-10