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Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:  Xu, Kexin;  Su, Yanjun;  Liu, Jin;  Hu, Tianyu;  Jin, Shichao;  Ma, Qin;  Zhai, Qiuping;  Wang, Rui;  Zhang, Jing;  Li, Yumei;  Liu, Hon An;  Guo, Qinghua
Adobe PDF(4794Kb)  |  收藏  |  浏览/下载：111/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
An updated Vegetation Map of China (1:1000000) 期刊论文
SCIENCE BULLETIN, 2020, 卷号: 65, 期号: 13, 页码: 1125-1136
作者:  Su, Yanjun;  Guo, Qinghua;  Hu, Tianyu;  Guan, Hongcan;  Jin, Shichao;  An, Shazhou;  Chen, Xuelin;  Guo, Ke;  Hao, Zhanqing;  Hu, Yuanman;  Huang, Yongmei;  Jiang, Mingxi;  Li, Jiaxiang;  Li, Zhenji;  Li, Xiankun;  Li, Xiaowei;  Liang, Cunzhu;  Liu, Renlin;  Liu, Qing;  Ni, Hongwei;  Peng, Shaolin;  Shen, Zehao;  Tang, Zhiyao;  Tian, Xingjun;  Wang, Xihua;  Wang, Renqing;  Xie, Zongqiang;  Xie, Yingzhong;  Xu, Xiaoniu;  Yang, Xiaobo;  Yang, Yongchuan;  Yu, Lifei;  Yue, Ming;  Zhang, Feng;  Ma, Keping
Adobe PDF(6509Kb)  |  收藏  |  浏览/下载：121/0  |  提交时间：2022/03/01
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 23
作者:  Yang, Qiuli;  Su, Yanjun;  Jin, Shichao;  Kelly, Maggi;  Hu, Tianyu;  Ma, Qin;  Li, Yumei;  Song, Shilin;  Zhang, Jing;  Xu, Guangcai;  Wei, Jianxin;  Guo, Qinghua
Adobe PDF(6208Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2022/01/06
individual segmentation method  leaf area index  canopy cover  tree density  coefficient of variation of tree height  
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 8
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
Adobe PDF(4477Kb)  |  收藏  |  浏览/下载：88/0  |  提交时间：2022/02/25
canopy height  Random Forest  LiDAR  multi-source  vegetation type  location  scale