Comparison of Methods for Estimation of Stem Volume, Stem Number and Basal Area from Airborne Laser Scanning Data in a Hemi-Boreal Forest
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/4/4/1004/pdf
Reference28 articles.
1. Lidar utility for natural resource managers;Hudak;Remote Sens,2009
2. Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanning;Holmgren;Scand. J. For. Res,2004
3. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data;Næsset;Remote Sens. Environ,2002
4. Using airborne lasers to estimate forest canopy and stand characteristics;Nelson;J. For,1988
5. Discrete return lidar in natural resources: Recommendations for project planning, data processing, and deliverables;Evans;Remote Sens,2009
Cited by 59 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. UAV Photogrammetry for Estimating Stand Parameters of an Old Japanese Larch Plantation Using Different Filtering Methods at Two Flight Altitudes;Sensors;2023-12-18
2. Estimation of Forest Stock Volume Using Sentinel-2 MSI, Landsat 8 OLI Imagery and Forest Inventory Data;Forests;2023-06-29
3. Comparison of Different Remotely Sensed Data Sources for Detection of Presence of Standing Dead Trees Using a Tree-Based Approach;Remote Sensing;2023-04-22
4. Feasibility of Low-Cost LiDAR Scanner Implementation in Forest Sampling Techniques;Forests;2023-03-30
5. Inversion of Coniferous Forest Stock Volume Based on Backscatter and InSAR Coherence Factors of Sentinel-1 Hyper-Temporal Images and Spectral Variables of Landsat 8 OLI;Remote Sensing;2022-06-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3