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• 地理科学与资源研究... [14]
• 遥感与数字地球研究... [11]
• 植物研究所 [6]
• 沈阳应用生态研究所 [4]
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• OAI收割 [37]

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• 期刊论文 [32]
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• SCI/SSCI论文 [2]

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• 2024 [2]
• 2023 [1]
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学科主题

• Environmen... [4]
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筛选

浏览/检索结果: 共37条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A Novel Workflow for Mapping Forest Canopy Height by Synergizing ICESat-2 and Multi-Sensor Data 期刊论文  OAI收割 FORESTS, 2024, 卷号: 15, 期号: 12, 页码: 2139 作者:  Guo, Linghui;  Zhang, Yang;  Xu, Muchao;  Yan, Jingjing;  Zhang, Hebing   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/02/24 forest canopy height  ICESat-2 ATLAS  forest species map  random forest   UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China 期刊论文  OAI收割 ECOLOGICAL INFORMATICS, 2024, 卷号: 81, 页码: 102574 作者:  Jin, Xiao-Liang;  Liu, Yu;  Yu, Xiu-Bo   |  收藏  |  浏览/下载：25/0  |  提交时间：2024/06/17 Above ground biomass  Allometric growth equation  Unmanned aerial vehicles  Canopy height model (CHM)  Pinus sylvestris   Coupled estimation of global 500m daily aerodynamic roughness length, zero-plane displacement height and canopy height 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 342, 页码: 109754 作者:  Peng, Zhong;  Tang, Ronglin;  Liu, Meng;  Jiang, Yazhen;  Li, Zhao-Liang   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/12/04 Aerodynamic roughness length  Zero -plane displacement height  Canopy height  Balanced random forest  Lidar   Estimating aboveground biomass of urban forest trees with dual-source UAV acquired point clouds & nbsp; 期刊论文  OAI收割 URBAN FORESTRY & URBAN GREENING, 2022, 卷号: 69, 页码: 13 作者:  Lin, Jiayuan;  Chen, Decao;  Wu, Wenjian;  Liao, Xiaohan   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/09/21 AGB  Allometric equation  Canopy radius  Point cloud  Tree height  Urban forest   Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269 作者:  Liu, Xiaoqiang;  Su, Yanjun;  Hu, Tianyu;  Yang, Qiuli;  Liu, Bingbing   |  收藏  |  浏览/下载：47/0  |  提交时间：2024/03/07 Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network   The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China 期刊论文  OAI收割 FORESTS, 2022, 卷号: 13, 期号: 5 作者:  Wang, Bojian;  Fang, Shuai;  Wang, Yunyun;  Guo, Qinghua;  Hu, Tianyu   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/03/07 maximum forest canopy height (Hmax)  water- and energy-related hypotheses  local-scale forest plot  light detection and ranging (LiDAR)   Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 4, 页码: 18 作者:  Zhang, Xiang;  Bao, Yuhai;  Wang, Dongliang;  Xin, Xiaoping;  Ding, Lei   |  收藏  |  浏览/下载：52/0  |  提交时间：2021/04/25 UAV LiDAR  AGB  Hulun Buir grassland  canopy height  fractional vegetation cover   Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 4, 页码: 18 作者:  Zhang, Xiang;  Bao, Yuhai;  Wang, Dongliang;  Xin, Xiaoping;  Ding, Lei   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/04/25 UAV LiDAR  AGB  Hulun Buir grassland  canopy height  fractional vegetation cover   High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 92, 页码: 14 作者:  Li, Wang;  Niu, Zheng;  Shang, Rong;  Qin, Yuchu;  Wang, Li   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/03/18 Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest   High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 卷号: 92, 页码: 14 作者:  Li, Wang;  Niu, Zheng;  Shang, Rong;  Qin, Yuchu;  Wang, Li   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/03/18 Forest canopy height  ICESat-2  Sentinel-1  Sentinel-2  Landsat-8  Machine-learning  Deep-learning  Random forest