CaR3DMIC: A novel method for evaluating UAV-derived 3D forest models by tree features-Reference-Cited by-同舟云学术

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CaR3DMIC: A novel method for evaluating UAV-derived 3D forest models by tree features

Published:2024-02 Issue: Volume:208 Page:279-295
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Fakhri Arvin^ORCID,Latifi Hooman^ORCID,Samani Kyumars Mohammadi,Fassnacht Fabian Ewald

Publisher

Elsevier BV

Reference87 articles.

1. Using LiDAR to characterize logjams in lowland rivers;Abalharth;Geomorphology,2015

2. The influence of flight direction and camera orientation on the quality products of UAV-based SfM-photogrammetry;Ahmed;Appl. Sci.,2022

3. Individual tree detection and qualitative inventory of a eucalyptus sp. stand using UAV photogrammetry data;Almeida;Remote Sens.,2021

4. Accuracy assessment of 3D photogrammetric models from an unmanned aerial vehicle;Barba;Drones,2019

5. Quality assessment of UAV photogrammetric archaeological survey;Barba;Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.,2019

Cited by 1 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. Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests;International Journal of Remote Sensing;2024-06-04

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