Qinghua Guo

55 papers A* 1C 3Journal 51
YearRankTypeTitle / Venue / Authors
2025 J jnl
A LiDAR-based framework for visualizing and quantifying forest void space: an intrinsic component of forest ecosystems.
Int. J. Appl. Earth Obs. Geoinformation
Guoran Huang, Wangfei Zhang, Haitao Yang, Yuling Chen, Hongcan Guan, Changfeng Lu, Jianhui Zhao, Zhiyong Qi, Tianyu Xiang, Shun Li, Shiyu Yan, Guangcai Xu, Qinghua Guo
2025 J jnl
Associations between forest vertical structure and habitat preferences of black-and-white snub-nosed monkeys (Rhinopithecus bieti) in high-elevation environments.
Ecol. Informatics
Zhi-Pang Huang, Yuling Chen, Haitao Yang, Yihao Fang, Kai Cheng, Hongcan Guan, Cyril C. Grueter, Wen Xiao, Qinghua Guo
2025 J jnl
OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery.
Comput. Electron. Agric.
Ruinan Zhang, Yuanhao Zhang, Shichao Jin, Jingrong Zang, Ruofan Zhao, Jiaqi Yao, Shaochen Li, Qing Li, Yanjun Su, Jin Wu, Qinghua Guo, Yanfeng Ding, Dong Jiang
2025 J jnl
SenNet: A dual-branch image semantic segmentation network for wheat senescence evaluation and high-yielding variety screening.
Comput. Electron. Agric.
Jiaqi Yao, Shichao Jin, Jingrong Zang, Ruinan Zhang, Yu Wang, Yanjun Su, Qinghua Guo, Yanfeng Ding, Dong Jiang
2024 J jnl
Segmenting Individual Trees From Terrestrial LiDAR Data Using Tree Branch Directivity.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zekun Yang, Yanjun Su, Wenkai Li, Kai Cheng, Hongcan Guan, Yu Ren, Tianyu Hu, Guangcai Xu, Qinghua Guo
2024 J jnl
TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution.
IEEE Trans. Geosci. Remote. Sens.
Yi Wang, Shichao Jin, Zekun Yang, Hongcan Guan, Yu Ren, Kai Cheng, Xiaoqian Zhao, Xiaoqiang Liu, Mengxi Chen, Yu Liu, Qinghua Guo
2023 J jnl
Constructing multi-level urban clusters based on population distributions and interactions.
Comput. Environ. Urban Syst.
Wenpu Cao, Lei Dong, Ying Cheng, Lun Wu, Qinghua Guo, Yu Liu
2022 J jnl
LiDAR Reveals the Process of Vision-Mediated Predator-Prey Relationships.
Remote. Sens.
Yanwen Fu, Guangcai Xu, Shang Gao, Limin Feng, Qinghua Guo, Haitao Yang
2022 J jnl
Loess Landslide Detection Using Object Detection Algorithms in Northwest China.
Remote. Sens.
Yuanzhen Ju, Qiang Xu, Shichao Jin, Weile Li, Yanjun Su, Xiujun Dong, Qinghua Guo
2021 J jnl
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications.
Remote. Sens.
Tianyu Hu, Xiliang Sun, Yanjun Su, Hongcan Guan, Qianhui Sun, Maggi Kelly, Qinghua Guo
2021 J jnl
One-Class Remote Sensing Classification From Positive and Unlabeled Background Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Wenkai Li, Qinghua Guo, Charles Elkan
2021 J jnl
The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory.
IEEE Geosci. Remote. Sens. Lett.
Yanjun Su, Qinghua Guo, Shichao Jin, Hongcan Guan, Xiliang Sun, Qin Ma, Tianyu Hu, Rui Wang, Yumei Li
2020 J jnl
A Framework for Land Use Scenes Classification Based on Landscape Photos.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Shiwu Xu, Shihui Zhang, Jue Zeng, Tingyu Li, Qinghua Guo, Shichao Jin
2020 J jnl
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations.
IEEE Trans. Geosci. Remote. Sens.
Hongcan Guan, Jing Zhang, Qin Ma, Min Liu, Fayun Wu, Qinghua Guo, Yanjun Su, Tianyu Hu, Rui Wang, Qin Ma, Qiuli Yang, Xiliang Sun, Yumei Li, Shichao Jin
2020 J jnl
A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Shichao Jin, Yanjun Su, Xiaoqian Zhao, Tianyu Hu, Qinghua Guo
2020 J jnl
ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning.
IEEE Access
Yemao Hou, Xindong Cui, Mario Canul-Ku, Shichao Jin, Rogelio Hasimoto-Beltrán, Qinghua Guo, Min Zhu
2020 J jnl
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images.
Sensors
Fei Sun, Fang Fang, Run Wang, Bo Wan, Qinghua Guo, Hong Li, Xincai Wu
2020 J jnl
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery.
Int. J. Appl. Earth Obs. Geoinformation
Dezhi Wang, Bo Wan, Jing Liu, Yanjun Su, Qinghua Guo, Penghua Qiu, Xincai Wu
2020 J jnl
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data.
Remote. Sens.
Tianyu Hu, Yingying Zhang, Yanjun Su, Yi Zheng, Guanghui Lin, Qinghua Guo
2020 J jnl
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens.
Shichao Jin, Yanjun Su, Shang Gao, Fangfang Wu, Qin Ma, Kexin Xu, Qin Ma, Tianyu Hu, Jin Liu, Shuxin Pang, Hongcan Guan, Jing Zhang, Qinghua Guo
2019 J jnl
A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation
Tianyu Hu, Qin Ma, Yanjun Su, John J. Battles, Brandon M. Collins, Scott L. Stephens, Maggi Kelly, Qinghua Guo
2019 J jnl
An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications.
Remote. Sens.
Hongcan Guan, Yanjun Su, Tianyu Hu, Jin Chen, Qinghua Guo
2019 J jnl
Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance.
ISPRS Int. J. Geo Inf.
Fei Sun, Run Wang, Bo Wan, Yanjun Su, Qinghua Guo, Youxin Huang, Xincai Wu
2019 J jnl
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data.
IEEE Trans. Geosci. Remote. Sens.
Shichao Jin, Yanjun Su, Fangfang Wu, Shuxin Pang, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo
2019 J jnl
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data.
Remote. Sens.
Qiuli Yang, Yanjun Su, Shichao Jin, Maggi Kelly, Tianyu Hu, Qin Ma, Yumei Li, Shilin Song, Jing Zhang, Guangcai Xu, Jianxin Wei, Qinghua Guo
2018 J jnl
An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ran Liu, Wenkai Li, Xiaoping Liu, Xingcheng Lu, Tianhong Li, Qinghua Guo
2018 J jnl
Artificial Mangrove Species Mapping Using Pléiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms.
Remote. Sens.
Dezhi Wang, Bo Wan, Penghua Qiu, Yanjun Su, Qinghua Guo, Xincai Wu
2018 J jnl
Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species.
Remote. Sens.
Dezhi Wang, Bo Wan, Penghua Qiu, Yanjun Su, Qinghua Guo, Run Wang, Fei Sun, Xincai Wu
2018 J jnl
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA.
Remote. Sens.
Maggi Kelly, Yanjun Su, Stefania Di Tommaso, Danny L. Fry, Brandon M. Collins, Scott L. Stephens, Qinghua Guo
2018 C conf
Individual Tree Level Forest Fire Assessment Using Bi-temporal LiDAR Data.
IGARSS
Qin Ma, Tianyu Hu, Yanjun Su, Qinghua Guo, John J. Battles, Maggi Kelly
2018 J jnl
Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California.
Int. J. Digit. Earth
Qin Ma, Yanjun Su, Shengli Tao, Qinghua Guo
2018 J jnl
Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data.
IEEE Trans. Geosci. Remote. Sens.
Yumei Li, Yanjun Su, Tianyu Hu, Guangcai Xu, Qinghua Guo
2018 C conf
Retrieving the Leaf area Index of Individual Trees and Stands using Single-Scan Data From a Terrestrial Laser Scanner.
IGARSS
Yumei Li, Qinghua Guo, Yanjun Su
2018 C conf
The Integration of Uavand Backpack Lidar Systems for Forest Inventory.
IGARSS
Yanjun Su, Hongcan Guan, Tianyu Hu, Qinghua Guo
2018 J jnl
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data.
Remote. Sens.
Shichao Jin, Yanjun Su, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo
2017 J jnl
Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Qin Ma, Yanjun Su, Qinghua Guo
2017 J jnl
Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery.
Int. J. Digit. Earth
Yanjun Su, Qin Ma, Qinghua Guo
2017 J jnl
Mapping Regional Urban Extent Using NPP-VIIRS DNB and MODIS NDVI Data.
Remote. Sens.
Run Wang, Bo Wan, Qinghua Guo, Maosheng Hu, Shunping Zhou
2017 J jnl
One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm.
Remote. Sens.
Zurui Ao, Yanjun Su, Wenkai Li, Qinghua Guo, Jing Zhang
2016 J jnl
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data.
Remote. Sens.
Tianyu Hu, Yanjun Su, Baolin Xue, Jin Liu, Xiaoqian Zhao, Jingyun Fang, Qinghua Guo
2015 J jnl
Mapping US Urban Extents from MODIS Data Using One-Class Classification Method.
Remote. Sens.
Bo Wan, Qinghua Guo, Fang Fang, Yanjun Su, Run Wang
2015 J jnl
SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery.
Remote. Sens.
Yanjun Su, Qinghua Guo, Qin Ma, Wenkai Li
2014 J jnl
A New Accuracy Assessment Method for One-Class Remote Sensing Classification.
IEEE Trans. Geosci. Remote. Sens.
Wenkai Li, Qinghua Guo
2014 J jnl
Restoration of Information Obscured by Mountainous Shadows Through Landsat TM/ETM+ Images Without the Use of DEM Data: A New Method.
IEEE Trans. Geosci. Remote. Sens.
Yuan Zhou, Jin Chen, Qinghua Guo, Ruyin Cao, Xiaolin Zhu
2014 J jnl
Space-time analyses for forecasting future incident occurrence: a case study from Yosemite National Park using the presence and background learning algorithm.
Int. J. Geogr. Inf. Sci.
Paul J. Doherty, Qinghua Guo, Wenkai Li, Jared Doke
2013 J jnl
Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches.
Remote. Sens.
Marek K. Jakubowski, Wenkai Li, Qinghua Guo, Maggi Kelly
2012 J jnl
A software framework for classification models of geographical data.
Comput. Geosci.
Yu Liu, Qinghua Guo, Yuan Tian
2011 J jnl
A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data.
IEEE Trans. Geosci. Remote. Sens.
Wenkai Li, Qinghua Guo, Charles Elkan
2011 J jnl
Georeferencing Incidents from Locality Descriptions and its Applications: a Case Study from Yosemite National Park Search and Rescue.
Trans. GIS
Paul J. Doherty, Qinghua Guo, Yu Liu, John Wieczorek, Jared Doke
2011 J jnl
Predicting potential distributions of geographic events using one-class data: concepts and methods.
Int. J. Geogr. Inf. Sci.
Qinghua Guo, Wenkai Li, Yu Liu, Daoqin Tong
2008 J jnl
Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach.
Int. J. Geogr. Inf. Sci.
Qinghua Guo, Yu Liu, John Wieczorek
2008 J jnl
Towards a General Field model and its order in GIS.
Int. J. Geogr. Inf. Sci.
Yu Liu, Michael F. Goodchild, Qinghua Guo, Y. Tian, L. Wu
2007 J jnl
Modeling the risk for a new invasive forest disease in the United States: An evaluation of five environmental niche models.
Comput. Environ. Urban Syst.
Maggi Kelly, Qinghua Guo, Desheng Liu, David Shaari
2004 J jnl
The point-radius method for georeferencing locality descriptions and calculating associated uncertainty.
Int. J. Geogr. Inf. Sci.
John Wieczorek, Qinghua Guo, Robert J. Hijmans
2003 A* conf
Predicting distribution of a new forest disease using one-class SVMs.
ICDM
Qinghua Guo, Maggi Kelly, Catherine Graham