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Geo-spatial Information Science Volume 26, 2023 - Issue 3
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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
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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]
ORCID Iconhttps://orcid.org/0000-0002-9760-6580View further author information
ORCID Icon,
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
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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
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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
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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
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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
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Xianzhao Liua Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, ChinaView further author information
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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
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Chonggui Lid College of Geomatics, Xi’an University of Science and Technology, Xi’an, ChinaView further author information
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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
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Zhidong Zhangf College of Forestry, Hebei Agricultural University, Baoding, ChinaView further author information
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Weiwei Jiag College of Forestry, Northeast Forestry University, Harbin, ChinaView further author information
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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
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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
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Pages 392-405 | Received 06 Mar 2022, Accepted 21 Jul 2022, Published online: 20 Sep 2022

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Read on this site (1)

Liming Du, Yong Pang, Wenjian Ni, Xiaojun Liang, Zengyuan Li, Juan Suarez & Wei Wei. (2023) Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite. Geo-spatial Information Science 0:0, pages 1-11.
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Articles from other publishers (3)

Pang Yong, Yu Tao, Jia Wen, Liang Xiaojun, Li Zengyuan, Fu Anmin, Wu Fayun, Liu Xiaotong, Zhang Xinwei, Huang Jin & He Tao. (2023) TECIS: The First Mission Towards Forest Carbon Mapping By Combination Of Lidar And Multi-Angle Optical Observations. TECIS: The First Mission Towards Forest Carbon Mapping By Combination Of Lidar And Multi-Angle Optical Observations.
Zilin Ye, Jiangping Long, Huanna Zheng, Zhaohua Liu, Tingchen Zhang & Qingyang Wang. (2023) Mapping Growing Stem Volume Using Dual-Polarization GaoFen-3 SAR Images in Evergreen Coniferous Forests. Remote Sensing 15:9, pages 2253.
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Tao Yu, Yong Pang, Rui Sun & Xiaodong Niu. (2022) Spatial Downscaling of Vegetation Productivity in the Forest From Deep Learning. IEEE Access 10, pages 104449-104460.
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