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Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 卷号: 184, 页码: 203-214
作者:  Hu, Tianyu;  Wei, Dengjie;  Su, Yanjun;  Wang, Xudong;  Zhang, Jing;  Sun, Xiliang;  Liu, Yu;  Guo, Qinghua
Adobe PDF(13276Kb)  |  收藏  |  浏览/下载：12/0  |  提交时间：2024/03/07
Mobile mapping system  Street tree  Shape  Aesthetical value  Greenness  
Human-Climate Coupled Changes in Vegetation Community Complexity of China Since 1980s 期刊论文
EARTHS FUTURE, 2022, 卷号: 10, 期号: 7
作者:  Su, Yanjun;  Guo, Qinghua;  Guan, Hongcan;  Hu, Tianyu;  Jin, Shichao;  Wang, Zhiheng;  Liu, Lingli;  Jiang, Lin;  Guo, Ke;  Xie, Zongqiang;  An, Shazhou;  Chen, Xuelin;  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, Yingzhong;  Xu, Xiaoniu;  Yang, Xiaobo;  Yang, Yongchuan;  Yu, Lifei;  Yue, Ming;  Zhang, Feng;  Chen, Jun;  Ma, Keping
Adobe PDF(3646Kb)  |  收藏  |  浏览/下载：14/0  |  提交时间：2024/03/07
vegetation community complexity  human activities  climate change  vegetation map  
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 1
作者:  Hu, Tianyu;  Sun, Xiliang;  Su, Yanjun;  Guan, Hongcan;  Sun, Qianhui;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(8953Kb)  |  收藏  |  浏览/下载：86/0  |  提交时间：2023/02/24
unmanned aerial vehicle (UAV)  lidar  DJI Livox  low cost  forest inventory  
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 10
作者:  Hu, Tianyu;  Zhang, YingYing;  Su, Yanjun;  Zheng, Yi;  Lin, Guanghui;  Guo, Qinghua
Adobe PDF(3278Kb)  |  收藏  |  浏览/下载：95/0  |  提交时间：2022/03/01
mangrove  LiDAR  random forest  GLAS  aboveground biomass  
Large-Scale Geographical Variations and Climatic Controls on Crown Architecture Traits 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2020, 卷号: 125, 期号: 2
作者:  Su, Yanjun;  Hu, Tianyu;  Wang, Yongcai;  Li, Yumei;  Dai, Jingyu;  Liu, Hongyan;  Jin, Shichao;  Ma, Qin;  Wu, Jin;  Liu, Lingli;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(35082Kb)  |  收藏  |  浏览/下载：90/0  |  提交时间：2022/03/01
crown architecture  terrestrial laser scanning  climate variations  coordination  
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：85/0  |  提交时间：2022/01/06
individual segmentation method  leaf area index  canopy cover  tree density  coefficient of variation of tree height  
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24
作者:  Guan, Hongcan;  Su, Yanjun;  Hu, Tianyu;  Chen, Jin;  Guo, Qinghua
Adobe PDF(10441Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2022/01/06
spatiotemporal data fusion  object-based framework  similar pixel  vegetation mapping  
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：82/0  |  提交时间：2022/02/25
canopy height  Random Forest  LiDAR  multi-source  vegetation type  location  scale  
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data 期刊论文
REMOTE SENSING, 2016, 卷号: 8, 期号: 7
作者:  Hu, Tianyu;  Su, Yanjun;  Xue, Baolin;  Liu, Jin;  Zhao, Xiaoqian;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(8623Kb)  |  收藏  |  浏览/下载：68/0  |  提交时间：2022/07/08
global  forest  aboveground biomass  remote sensing  LiDAR