An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning-Reference-Cited by-同舟云学术

An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

Published:2012-03-30 Issue:4 Volume:4 Page:950-974
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Kaartinen Harri,Hyyppä Juha,Yu Xiaowei,Vastaranta Mikko,Hyyppä Hannu,Kukko Antero,Holopainen Markus,Heipke Christian,Hirschmugl Manuela,Morsdorf Felix,Næsset Erik,Pitkänen Juho,Popescu Sorin,Solberg Svein,Wolf Bernd Michael,Wu Jee-Cheng

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/4/4/950/pdf

Reference57 articles.

1. Laser aerial profiling of a forest. Lew. NIILKh. Leningrad;Solodukhin;Lesnoe Khozyaistvo,1977

2. Determining forest canopy characteristics using airborne laser data;Nelson;Remote Sens. Environ,1984

3. Automated measurements of terrain reflection and height variations using airborne infrared laser system;Schreier;Int. J. Remote Sens,1985

4. Estimating forest biomass and volume using airborne laser data;Nelson;Remote Sens. Environ,1988

5. Gross-merchantable timber volume estimation using an airborne lidar system;Maclean;Can. J. Remote Sens,1986

Cited by 390 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. SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data;Remote Sensing of Environment;2024-11

2. Robust characterisation of forest structure from airborne laser scanning—A systematic assessment and sample workflow for ecologists;Methods in Ecology and Evolution;2024-09-06

3. Investigation of the Relationship between Topographic and Forest Stand Characteristics Using Aerial Laser Scanning and Field Survey Data;Forests;2024-09-02

4. Identification and characterization of gaps and roads in the Amazon rainforest with LiDAR data;iForest - Biogeosciences and Forestry;2024-08-31

5. Identification and characterization of gaps and roads in the Amazon rainforest with LiDAR data;IFOREST;2024