Laserchicken—A tool for distributed feature calculation from massive LiDAR point cloud datasets-Reference-Cited by-同舟云学术

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Laserchicken—A tool for distributed feature calculation from massive LiDAR point cloud datasets

Published:2020-07 Issue: Volume:12 Page:100626
ISSN:2352-7110
Container-title:SoftwareX
language:en
Short-container-title:SoftwareX

Author:

Meijer C.,Grootes M.W.,Koma Z.,Dzigan Y.,Gonçalves R.,Andela B.,van den Oord G.,Ranguelova E.,Renaud N.,Kissling W.D.

Funder

Netherlands eScience Center

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Reference34 articles.

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2. Using modular 3D digital earth applications based on point clouds for the study of complex sites;Martinez-Rubi;Int J Digit Earth,2016

3. Efficient tree modeling from airborne lidar point clouds;Hu;Comput Graph,2017

4. LiDAR Drives forwards;Nat Photonics,2018

5. Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challenges;Colaço;Horticult Res,2018

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2. Which metrics derived from airborne laser scanning are essential to measure the vertical profile of ecosystems?;Diversity and Distributions;2023-08-25

3. CACTUS: Content-Aware Compression and Transmission Using Semantics for Automotive LiDAR Data;Sensors;2023-06-15

4. Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey;Data in Brief;2023-02

5. Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds;Ecological Informatics;2022-12

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