Geo-spatial Information Science
Volume 26, 2023 - Issue 3
Open access
1,405
Views
4
CrossRef citations to date
0
Altmetric
Research Article
China’s larch stock volume estimation using Sentinel-2 and LiDAR data
Tao Yua Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, ChinaView further author information
, Yong Panga Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, ChinaCorrespondence[email protected]
https://orcid.org/0000-0002-9760-6580View further author information
Xiaojun Lianga Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, ChinaView further author information
, Wen Jiaa Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, ChinaView further author information
, Yu Baia Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, ChinaView further author information
, Yilin Fana Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, ChinaView further author information
, Dongsheng Chenc Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Xianzhao Liua Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Guang Denga Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, ChinaView further author information
, Chonggui Lid College of Geomatics, Xi’an University of Science and Technology, Xi’an, ChinaView further author information
, Xiangnan Suna Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China;b Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing, China;e Academy of Inventory and Planning, National Forestry and Grassland Administration, Beijing, ChinaView further author information
, Zhidong Zhangf College of Forestry, Hebei Agricultural University, Baoding, ChinaView further author information
, Weiwei Jiag College of Forestry, Northeast Forestry University, Harbin, ChinaView further author information
, Zhonghua Zhaoc Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, ChinaView further author information
& Xiao Wangh Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Beijing, ChinaView further author information
show all
Pages 392-405
|
Received 06 Mar 2022, Accepted 21 Jul 2022, Published online: 20 Sep 2022
Reprints and Permissions
This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, reproduction in any medium, provided the original work is properly cited.
You are not required to obtain permission to reuse this article in part or whole.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.