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A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 3, 页码: 2165-2177
作者:  Guan, Hongcan;  Su, Yanjun;  Hu, Tianyu;  Wang, Rui;  Ma, Qin;  Yang, Qiuli;  Sun, Xiliang;  Li, Yumei;  Jin, Shichao;  Zhang, Jing;  Liu, Min;  Wu, Fayun;  Guo, Qinghua
Adobe PDF(12335Kb)  |  收藏  |  浏览/下载:105/0  |  提交时间:2022/03/01
Vegetation  Laser radar  Forestry  Tin  Three-dimensional displays  Unmanned aerial vehicles  Registers  Forest  multiplatform light detection and ranging (LiDAR)  registration  tree location  
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level 期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:  Jin, Shichao;  Su, Yanjun;  Song, Shilin;  Xu, Kexin;  Hu, Tianyu;  Yang, Qiuli;  Wu, Fangfang;  Xu, Guangcai;  Ma, Qin;  Guan, Hongcan;  Pang, Shuxin;  Li, Yumei;  Guo, Qinghua
Adobe PDF(4774Kb)  |  收藏  |  浏览/下载:89/0  |  提交时间:2022/03/01
Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture  
新一代遥感技术助力生态系统生态学研究 期刊论文
植物生态学报, 2020, 卷号: 44, 期号: 04, 页码: 418-435
作者:  郭庆华;  胡天宇;  马勤;  徐可心;  杨秋丽;  孙千惠;  李玉美;  苏艳军
Adobe PDF(5727Kb)  |  收藏  |  浏览/下载:77/0  |  提交时间:2022/04/14
近地面遥感  激光雷达  无人机  高光谱  日光诱导叶绿素荧光  
深度学习在生态资源研究领域的应用:理论、方法和挑战 期刊论文
中国科学:地球科学, 2020, 卷号: 50, 期号: 10, 页码: 1354-1373
作者:  郭庆华;  金时超;  李敏;  杨秋丽;  徐可心;  巨袁臻;  张菁;  宣晶;  刘瑾;  苏艳军;  许强;  刘瑜
Adobe PDF(2583Kb)  |  收藏  |  浏览/下载:88/0  |  提交时间:2022/04/14
生态资源  深度学习  神经网络  大数据  理论与工具  应用与挑战  
Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
Adobe PDF(4690Kb)  |  收藏  |  浏览/下载:105/0  |  提交时间:2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge