Predicting distribution of a new forest disease using one-class SVMs. - Qinghua Guo 002; Maggi Kelly; Catherine Graham (ICDM, 2003)

The point-radius method for georeferencing locality descriptions and calculating associated uncertainty. - John Wieczorek; Qinghua Guo 002; Robert J. Hijmans (Int. J. Geogr. Inf. Sci., 2004)

Modeling the risk for a new invasive forest disease in the United States: An evaluation of five environmental niche models. - Maggi Kelly; Qinghua Guo 002; Desheng Liu; David Shaari (Comput. Environ. Urban Syst., 2007)

Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach. - Qinghua Guo 002; Yu Liu 003; John Wieczorek (Int. J. Geogr. Inf. Sci., 2008)

Towards a General Field model and its order in GIS. - Yu Liu 003; Michael F. Goodchild; Qinghua Guo 002; Y. Tian; L. Wu (Int. J. Geogr. Inf. Sci., 2008)

Predicting potential distributions of geographic events using one-class data: concepts and methods. - Qinghua Guo 002; Wenkai Li; Yu Liu 003; Daoqin Tong (Int. J. Geogr. Inf. Sci., 2011)

Georeferencing Incidents from Locality Descriptions and its Applications: a Case Study from Yosemite National Park Search and Rescue. - Paul J. Doherty; Qinghua Guo 002; Yu Liu 003; John Wieczorek; Jared Doke (Trans. GIS, 2011)

A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data. - Wenkai Li; Qinghua Guo 002; Charles Elkan (IEEE Trans. Geosci. Remote. Sens., 2011)

A software framework for classification models of geographical data. - Yu Liu 003; Qinghua Guo 002; Yuan Tian 006 (Comput. Geosci., 2012)

Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches. - Marek K. Jakubowski; Wenkai Li; Qinghua Guo 002; Maggi Kelly (Remote. Sens., 2013)

Space-time analyses for forecasting future incident occurrence: a case study from Yosemite National Park using the presence and background learning algorithm. - Paul J. Doherty; Qinghua Guo 002; Wenkai Li; Jared Doke (Int. J. Geogr. Inf. Sci., 2014)

A New Accuracy Assessment Method for One-Class Remote Sensing Classification. - Wenkai Li; Qinghua Guo 002 (IEEE Trans. Geosci. Remote. Sens., 2014)

Restoration of Information Obscured by Mountainous Shadows Through Landsat TM/ETM+ Images Without the Use of DEM Data: A New Method. - Yuan Zhou 017; Jin Chen 001; Qinghua Guo 002; Ruyin Cao; Xiaolin Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2014)

SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery. - Yanjun Su; Qinghua Guo 002; Qin Ma 004; Wenkai Li (Remote. Sens., 2015)

Mapping US Urban Extents from MODIS Data Using One-Class Classification Method. - Bo Wan; Qinghua Guo 002; Fang Fang 008; Yanjun Su; Run Wang 002 (Remote. Sens., 2015)

Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data. - Tianyu Hu; Yanjun Su; Baolin Xue; Jin Liu; Xiaoqian Zhao; Jingyun Fang; Qinghua Guo 002 (Remote. Sens., 2016)

Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery. - Yanjun Su; Qin Ma 004; Qinghua Guo 002 (Int. J. Digit. Earth, 2017)

One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm. - Zurui Ao; Yanjun Su; Wenkai Li; Qinghua Guo 002; Jing Zhang (Remote. Sens., 2017)

Mapping Regional Urban Extent Using NPP-VIIRS DNB and MODIS NDVI Data. - Run Wang 002; Bo Wan; Qinghua Guo 002; Maosheng Hu; Shunping Zhou (Remote. Sens., 2017)

Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. - Qin Ma 004; Yanjun Su; Qinghua Guo 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Individual Tree Level Forest Fire Assessment Using Bi-temporal LiDAR Data. - Qin Ma 004; Tianyu Hu; Yanjun Su; Qinghua Guo 002; John J. Battles; Maggi Kelly (IGARSS, 2018)

Retrieving the Leaf area Index of Individual Trees and Stands using Single-Scan Data From a Terrestrial Laser Scanner. - Yumei Li 004; Qinghua Guo 002; Yanjun Su (IGARSS, 2018)

The Integration of Uavand Backpack Lidar Systems for Forest Inventory. - Yanjun Su; Hongcan Guan; Tianyu Hu; Qinghua Guo 002 (IGARSS, 2018)

Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California. - Qin Ma 004; Yanjun Su; Shengli Tao; Qinghua Guo 002 (Int. J. Digit. Earth, 2018)

The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data. - Shichao Jin; Yanjun Su; Shang Gao; Tianyu Hu; Jin Liu; Qinghua Guo 002 (Remote. Sens., 2018)

Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA. - Maggi Kelly; Yanjun Su; Stefania Di Tommaso; Danny L. Fry; Brandon M. Collins; Scott L. Stephens; Qinghua Guo 002 (Remote. Sens., 2018)

Artificial Mangrove Species Mapping Using Pléiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms. - Dezhi Wang 003; Bo Wan; Penghua Qiu; Yanjun Su; Qinghua Guo 002; Xincai Wu (Remote. Sens., 2018)

Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species. - Dezhi Wang 003; Bo Wan; Penghua Qiu; Yanjun Su; Qinghua Guo 002; Run Wang 002; Fei Sun; Xincai Wu (Remote. Sens., 2018)

An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification. - Ran Liu 009; Wenkai Li; Xiaoping Liu 001; Xingcheng Lu; Tianhong Li; Qinghua Guo 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data. - Yumei Li 004; Yanjun Su; Tianyu Hu; Guangcai Xu; Qinghua Guo 002 (IEEE Trans. Geosci. Remote. Sens., 2018)

A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data. - Tianyu Hu; Qin Ma 004; Yanjun Su; John J. Battles; Brandon M. Collins; Scott L. Stephens; Maggi Kelly; Qinghua Guo 002 (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance. - Fei Sun; Run Wang 002; Bo Wan; Yanjun Su; Qinghua Guo 002; Youxin Huang; Xincai Wu (ISPRS Int. J. Geo Inf., 2019)

An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications. - Hongcan Guan; Yanjun Su; Tianyu Hu; Jin Chen 001; Qinghua Guo 002 (Remote. Sens., 2019)

The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data. - Qiuli Yang; Yanjun Su; Shichao Jin; Maggi Kelly; Tianyu Hu; Qin Ma 004; Yumei Li 004; Shilin Song; Jing Zhang; Guangcai Xu; Jianxin Wei 004; Qinghua Guo 002 (Remote. Sens., 2019)

Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data. - Shichao Jin; Yanjun Su; Fangfang Wu; Shuxin Pang; Shang Gao; Tianyu Hu; Jin Liu; Qinghua Guo 002 (IEEE Trans. Geosci. Remote. Sens., 2019)

ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning. - Yemao Hou; Xindong Cui; Mario Canul-Ku; Shichao Jin; Rogelio Hasimoto-Beltrán; Qinghua Guo 002; Min Zhu (IEEE Access, 2020)

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. - Dezhi Wang 003; Bo Wan; Jing Liu 021; Yanjun Su; Qinghua Guo 002; Penghua Qiu; Xincai Wu (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data. - Tianyu Hu; YingYing Zhang; Yanjun Su; Yi Zheng; Guanghui Lin; Qinghua Guo 002 (Remote. Sens., 2020)

An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images. - Fei Sun; Fang Fang 008; Run Wang 002; Bo Wan; Qinghua Guo 002; Hong Li; Xincai Wu (Sensors, 2020)

A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments. - Shichao Jin; Yanjun Su; Xiaoqian Zhao; Tianyu Hu; Qinghua Guo 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A Framework for Land Use Scenes Classification Based on Landscape Photos. - Shiwu Xu; Shihui Zhang; Jue Zeng; Tingyu Li; Qinghua Guo 002; Shichao Jin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations. - Hongcan Guan; Jing Zhang; Qin Ma 005; Min Liu; Fayun Wu; Qinghua Guo 002; Yanjun Su; Tianyu Hu; Rui Wang; Qin Ma 004; Qiuli Yang; Xiliang Sun; et al. (IEEE Trans. Geosci. Remote. Sens., 2020)

Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks. - Shichao Jin; Yanjun Su; Shang Gao; Fangfang Wu; Qin Ma 005; Kexin Xu; Qin Ma 004; Tianyu Hu; Jin Liu; Shuxin Pang; Hongcan Guan; Jing Zhang; et al. (IEEE Trans. Geosci. Remote. Sens., 2020)

The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory. - Yanjun Su; Qinghua Guo 002; Shichao Jin; Hongcan Guan; Xiliang Sun; Qin Ma 004; Tianyu Hu; Rui Wang; Yumei Li 004 (IEEE Geosci. Remote. Sens. Lett., 2021)

Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications. - Tianyu Hu; Xiliang Sun; Yanjun Su; Hongcan Guan; Qianhui Sun; Maggi Kelly; Qinghua Guo 002 (Remote. Sens., 2021)

One-Class Remote Sensing Classification From Positive and Unlabeled Background Data. - Wenkai Li; Qinghua Guo 002; Charles Elkan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

LiDAR Reveals the Process of Vision-Mediated Predator-Prey Relationships. - Yanwen Fu; Guangcai Xu; Shang Gao; Limin Feng; Qinghua Guo 002; Haitao Yang (Remote. Sens., 2022)

Loess Landslide Detection Using Object Detection Algorithms in Northwest China. - Yuanzhen Ju; Qiang Xu 004; Shichao Jin; Weile Li; Yanjun Su; Xiujun Dong; Qinghua Guo 002 (Remote. Sens., 2022)

Constructing multi-level urban clusters based on population distributions and interactions. - Wenpu Cao; Lei Dong; Ying Cheng; Lun Wu; Qinghua Guo 002; Yu Liu 003 (Comput. Environ. Urban Syst., 2023)

Segmenting Individual Trees From Terrestrial LiDAR Data Using Tree Branch Directivity. - Zekun Yang; Yanjun Su; Wenkai Li; Kai Cheng; Hongcan Guan; Yu Ren 001; Tianyu Hu; Guangcai Xu; Qinghua Guo 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution. - Yi Wang 132; Shichao Jin; Zekun Yang; Hongcan Guan; Yu Ren 001; Kai Cheng; Xiaoqian Zhao; Xiaoqiang Liu; Mengxi Chen; Yu Liu 003; Qinghua Guo 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

SenNet: A dual-branch image semantic segmentation network for wheat senescence evaluation and high-yielding variety screening. - Jiaqi Yao; Shichao Jin; Jingrong Zang; Ruinan Zhang; Yu Wang; Yanjun Su; Qinghua Guo 002; Yanfeng Ding; Dong Jiang (Comput. Electron. Agric., 2025)

OSNet: an oriented instance segmentation network of breeding plot extraction from UAV RGB imagery. - Ruinan Zhang; Yuanhao Zhang; Shichao Jin; Jingrong Zang; Ruofan Zhao; Jiaqi Yao; Shaochen Li; Qing Li; Yanjun Su; Jin Wu 003; Qinghua Guo 002; Yanfeng Ding; et al. (Comput. Electron. Agric., 2025)

Associations between forest vertical structure and habitat preferences of black-and-white snub-nosed monkeys (Rhinopithecus bieti) in high-elevation environments. - Zhi-Pang Huang; Yuling Chen; Haitao Yang; Yihao Fang; Kai Cheng; Hongcan Guan; Cyril C. Grueter; Wen Xiao; Qinghua Guo 002 (Ecol. Informatics, 2025)