Analysis of estimation models of plantation stand heights using UAV LiDAR

Doctor's Voice | Views:1822Downloads:2929CSCD:5

Export
Share
Collection
Album

Analysis of estimation models of plantation stand heights using UAV LiDAR
- role：First author第一作者
- Affiliation：
  Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
- Email：limei881107@163.com
- Introduction：李梅，研究方向为林业遥感。E-mail： limei881107@163.com
LI Mei
12 * ,
- role：Corresponding author通信作者
- Affiliation：
  Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
- Email：liuqw@ifrit.ac.cn
- Introduction：刘清旺，研究方向为林业遥感。E-mail： liuqw@ifrit.ac.cn
LIU Qingwang
12 * ,
- Affiliation：
  Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
FENG Yiming
3 * ,
- Affiliation：
  Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
  Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China
LI Zengyuan
12 *
Vol. 26, Issue 12, Pages: 2665-2678(2022)
DOI：10.11834/jrs.20210246
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 29 ) Tabs( 3 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Denoising method for light weight photon counting LiDAR based on an improved local sparse coefficient

Fine identification and biomass estimation of mangroves based on UAV multispectral and LiDAR

Review and prospects of the development of LiDAR in ecology and geosciences

A spatiotemporal-aware and cascaded alignment framework for remote sensing image change detection

High-precision retrieval of suspended sediment concentration in the Yellow River based on Landsat 8： Integration of physical mechanisms and deep learning

Related Author

LUAN Kuifeng 上海海洋大学海洋科学学院;上海河口海洋测绘工程技术研究中心

ZHANG Kunning 上海海洋大学海洋科学学院

QIU Zhenge 上海海洋大学海洋科学学院;上海河口海洋测绘工程技术研究中心

WANG Jie 上海海洋大学海洋科学学院

WANG Zhenhua 上海海洋大学信息学院

XUE Ye 上海海洋大学海洋科学学院

ZHU Weidong 上海海洋大学海洋科学学院;上海河口海洋测绘工程技术研究中心

LING Dandan 上海海洋大学海洋科学学院

Related Institution

College of Marine Sciences, Shanghai Ocean University

Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping

College of Information Technology, Shanghai Ocean University

First Institute of Oceanography, Ministry of Natural Resources

College of Geodesy and Geomatics, Shandong University of Science and Technology