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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：8/0  |  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：75/0  |  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：70/0  |  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：85/0  |  提交时间：2022/03/01
Terrestrial laser scanning  Registration  Marker-free  Forest  
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：81/0  |  提交时间：2022/07/08
Light detection and ranging  Ground filtering  Ground points  Triangulated irregular network  Digital terrain model  
Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 110, 页码: 66-76
作者:  Tao, Shengli;  Wu, Fangfang;  Guo, Qinghua;  Wang, Yongcai;  Li, Wenkai;  Xue, Baolin;  Hu, Xueyang;  Li, Peng;  Tian, Di;  Li, Chao;  Yao, Hui;  Li, Yumei;  Xu, Guangcai;  Fang, Jingyun
Adobe PDF(3556Kb)  |  收藏  |  浏览/下载：74/0  |  提交时间：2022/09/13
Terrestrial LiDAR  Segmentation  Shortest path  Mobile LiDAR  Metabolic ecology theory  DBSCAN  
Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 102, 页码: 198-208
作者:  Li, Le;  Guo, Qinghua;  Tao, Shengli;  Kelly, Maggi;  Xu, Guangcai
Adobe PDF(3348Kb)  |  收藏  |  浏览/下载：74/0  |  提交时间：2022/09/13
Lidar  Forest biomass  MODIS  Terrestrial  Scale  
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：47/0  |  提交时间：2023/03/30
Digital elevation model (DEM)  Shuttle Radar Topographic Mission (SRTM)  Light Detection and Ranging (Lidar)  Correction  Vegetation  Mountain  
A bottom-up approach to segment individual deciduous trees using leaf-off lidar point cloud data 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 卷号: 94, 页码: 1-12
作者:  Lu, Xingcheng;  Guo, Qinghua;  Li, Wenkai;  Flanagan, Jacob
Adobe PDF(2926Kb)  |  收藏  |  浏览/下载：44/0  |  提交时间：2023/03/30
Lidar  Deciduous forest  Tree segmentation  Intensity  3-D structure  Bottom-up