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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：13/0  |  提交时间：2024/03/07
Mobile mapping system  Street tree  Shape  Aesthetical value  Greenness  
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 202-223
作者:  Jin, Shichao;  Sun, Xiliang;  Wu, Fangfang;  Su, Yanjun;  Li, Yumei;  Song, Shiling;  Xu, Kexin;  Ma, Qin;  Baret, Frederic;  Jiang, Dong;  Ding, Yanfeng;  Guo, Qinghua
Adobe PDF(12177Kb)  |  收藏  |  浏览/下载：83/0  |  提交时间：2023/02/24
Lidar  Traits  Phenomics  Breeding  Management  Multi-omits  
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 36-48
作者:  Wu, Shengbiao;  Wang, Jing;  Yan, Zhengbing;  Song, Guangqin;  Chen, Yang;  Ma, Qin;  Deng, Meifeng;  Wu, Yuntao;  Zhao, Yingyi;  Guo, Zhengfei;  Yuan, Zuoqiang;  Dai, Guanhua;  Xu, Xiangtao;  Yang, Xi;  Su, Yanjun;  Liu, Lingli;  Wu, Jin
Adobe PDF(5500Kb)  |  收藏  |  浏览/下载：83/0  |  提交时间：2023/02/24
Multi-scale remote sensing  Phenocam  High-resolution satellite  MODIS  Individual tree-crown  Leaf phenology  
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 166, 页码: 82-94
作者:  Guan, Hongcan;  Su, Yanjun;  Sun, Xiliang;  Xu, Guangcai;  Li, Wenkai;  Ma, Qin;  Wu, Xiaoyong;  Wu, Jin;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(11275Kb)  |  收藏  |  浏览/下载：103/0  |  提交时间：2022/03/01
Terrestrial laser scanning  Registration  Marker-free  Forest  
Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 7
作者:  Sun, Fei;  Wang, Run;  Wan, Bo;  Su, Yanjun;  Guo, Qinghua;  Huang, Youxin;  Wu, Xincai
Adobe PDF(11880Kb)  |  收藏  |  浏览/下载：97/0  |  提交时间：2022/01/06
gradient boosting trees  margin  class imbalance  very-high resolution (VHR) remote sensing  land cover classification  disagreement performance  
Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California 期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2018, 卷号: 11, 期号: 5, 页码: 485-503
作者:  Ma, Qin;  Su, Yanjun;  Tao, Shengli;  Guo, Qinghua
Adobe PDF(4277Kb)  |  收藏  |  浏览/下载：117/0  |  提交时间：2022/02/25
Airborne Laser Scanning  change detection  tree growth  tree competition  Sierra Nevada  
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 117, 页码: 79-91
作者:  Zhao, Xiaoqian;  Guo, Qinghua;  Su, Yanjun;  Xue, Baolin
Adobe PDF(2953Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2022/07/08
Light detection and ranging  Ground filtering  Ground points  Triangulated irregular network  Digital terrain model  
A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data 期刊论文
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2015, 卷号: 81, 期号: 10, 页码: 767-776
作者:  Tao, Shengli;  Guo, Qinghua;  Xu, Shiwu;  Su, Yanjun;  Li, Yumei;  Wu, Fangfang
Adobe PDF(2208Kb)  |  收藏  |  浏览/下载：69/0  |  提交时间：2022/09/13
A practical method for SRTM DEM correction over vegetated mountain areas 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 卷号: 87, 页码: 216-228
作者:  Su, Yanjun;  Guo, Qinghua
Adobe PDF(3976Kb)  |  收藏  |  浏览/下载：59/0  |  提交时间：2023/03/30
Digital elevation model (DEM)  Shuttle Radar Topographic Mission (SRTM)  Light Detection and Ranging (Lidar)  Correction  Vegetation  Mountain