The interrelationship of atmospheric correction of reflectances and surface BRDF retrieval: a sensitivity study. - Baoxin Hu; Wolfgang Lucht; Alan H. Strahler (IEEE Trans. Geosci. Remote. Sens., 1999)

Investigation of linear spectral mixtures of the reflectance spectra using laboratory simulated forest scenes. - Baoxin Hu; John R. Miller 001; Jinnian Wang; Narendra S. Goel (IGARSS, 2002)

Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture. - Baoxin Hu; Shen-En Qian; Driss Haboudane; John R. Miller 001; Allan Hollinger; Nicolas Tremblay (IGARSS, 2002)

Quantitative evaluation of hyperspectral data compressed by near lossless onboard compression techniques. - Shen-En Qian; Baoxin Hu; Martin Bergeron; Allan Hollinger; Peter Oswald (IGARSS, 2002)

The FIFEDOM (Frequent Image Frames Enhanced Digital Orthorectified Mapping) Camera for Automatic Mapping of Tree Species and Structures. - K. Frank Zhang; Baoxin Hu; John R. Miller 001; Lawrence Gray (IGARSS, 2006)

Vegetation classification using hyperspectral and multi-angular remote sensing data. - Baoxin Hu; James R. Freemantle; John R. Miller 001; Anne Mhairi Smith (IGARSS, 2007)

Forest structural information derived from multi-angular FIFEDOM (Frequent Image Frames Enhanced Digital Ortho-rectified Mapping) data. - K. Frank Zhang; Baoxin Hu; John R. Miller 001 (IGARSS, 2007)

The Frequent Image Frames Enhanced Digital Orthorectified Mapping (FIFEDOM) Camera for Acquiring Multiangular Reflectance From the Land Surface. - Baoxin Hu; K. Frank Zhang; Lawrence Gray; John R. Miller 001; Harold Zwick (IEEE Trans. Geosci. Remote. Sens., 2007)

Vegetation Species Identification Using Hyperspectral Imagery. - Baoxin Hu; Josée Lévesque; Jean-Pierre Ardouin (IGARSS (2), 2008)

Improving Land Surface Pixel Level Albedo Characterization Using Sub-Pixel Information Retrieved from Remote Sensing. - Wenjun Liu; Baoxin Hu; Shusen Wang (IGARSS (2), 2008)

Automatic Forest Species Classification using Combined LIDAR Data and Optical Imagery. - Wen Zhang; Baoxin Hu; Linhai Jing; Murray E. Woods; Paul Courville (IGARSS (3), 2008)

Individual tree species classification using structure features from high density airborne lidar data. - Jili Li; Baoxin Hu; Gunho Sohn; Linhai Jing (IGARSS, 2010)

Comprehensive Utilization of Temporal and Spatial Domain Outlier Detection Methods for Mobile Terrestrial LiDAR Data. - Michael Leslar; Jianguo Wang 003; Baoxin Hu (Remote. Sens., 2011)

Early detecting ash Emerald Ash Borer (EAB) infestation using Hyperspectral imagery. - Kongwen Zhang; Baoxin Hu; Ian Hanou; Linhai Jing (IGARSS, 2012)

Low Cost Multisensor Kinematic Positioning and Navigation System with Linux/RTAI. - Kun Qian; Jianguo Wang 003; Nilesh S. Gopaul; Baoxin Hu (J. Sens. Actuator Networks, 2012)

Individual Urban Tree Species Classification Using Very High Spatial Resolution Airborne Multi-Spectral Imagery Using Longitudinal Profiles. - Kongwen Zhang; Baoxin Hu (Remote. Sens., 2012)

Long Term Soil Productivity study using very high spatial resolution imagery. - Kongwen Zhang; Mike Curran; Justin Robinson; Baoxin Hu (IGARSS, 2013)

Tree species identification and subsequent health determination from mobile LiDAR data. - Henry Mak; Baoxin Hu (IGARSS, 2014)

Improving the efficiency and accuracy of individual tree crown delineation from high-density LiDAR data. - Baoxin Hu; Jili Li; Linhai Jing; Aaron Judah (Int. J. Appl. Earth Obs. Geoinformation, 2014)

An Algorithm for Boundary Adjustment toward Multi-Scale Adaptive Segmentation of Remotely Sensed Imagery. - Aaron Judah; Baoxin Hu; Jianguo Wang 003 (Remote. Sens., 2014)

Characterization of tree structures from mobile LiDAR data for the identification of ASH trees. - Henry Mak; Baoxin Hu (IGARSS, 2015)

A Two-Level Approach for Species Identification of Coniferous Trees in Central Ontario Forests Based on Multispectral Images. - Jili Li; Baoxin Hu; Murray E. Woods (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Improving individual tree delineation using mulriple-wavelength lidar data. - Baoxin Hu (IGARSS, 2016)

Automatic identification and extraction of forest road through advanced LoG matching techniques. - Wen Zhang; Baoxin Hu; Lauren Quist (IGARSS, 2016)

An Integrated Approach to Generating Accurate DTM from Airborne Full-Waveform LiDAR Data. - Baoxin Hu; Damir Gumerov; Jianguo Wang 003; Wen Zhang (Remote. Sens., 2017)

The Integration of Multi-source Remotely-Sensed Data in Support of the Classification of Wetlands. - Aaron Judah; Baoxin Hu (Remote. Sens., 2019)

Individual Tree Crown Delineation Using Multispectral LiDAR Data. - Faizaan Naveed; Baoxin Hu; Jianguo Wang 003; G. Brent Hall (Sensors, 2019)

CNN-Based Tree Species Classification Using Airborne Lidar Data and High-Resolution Satellite Image. - Hui Li; Baoxin Hu; Qian Li; Linhai Jing (IGARSS, 2020)

Improvement of Soil Texture Classification with LiDAR Data. - Rory Pittman; Baoxin Hu (IGARSS, 2020)

Use of geospatial methods to characterize dispersion of the Emerald ash borer in southern Ontario, Canada. - Farah Hoque; Baoxin Hu; Jianguo Wang 003; G. Brent Hall (Ecol. Informatics, 2020)

A Generalized Linear Mixed Model Approach to Assess Emerald Ash Borer Diffusion. - Yuan Zhong; Baoxin Hu; G. Brent Hall; Farah Hoque; Wei Xu; Xin Gao (ISPRS Int. J. Geo Inf., 2020)

A New Individual Tree Crown Delineation Method for High Resolution Multispectral Imagery. - Lin Qiu; Linhai Jing; Baoxin Hu; Hui Li 008; Yunwei Tang (Remote. Sens., 2020)

An Automatic and Operational Method for Land Cover Change Detection Using Spatiotemporal Analysis of MODIS Data: A Northern Ontario (Canada) Case Study. - Ima Ituen; Baoxin Hu (ISPRS Int. J. Geo Inf., 2021)

Modelling GAP Probability for a Right Conical Canopy. - Rory Pittman; Baoxin Hu (IGARSS, 2022)

An Advanced Data Fusion Method to Improve Wetland Classification Using Multi-Source Remotely Sensed Data. - Aaron Judah; Baoxin Hu (Sensors, 2022)

Improving Land Cover Classification In Subarctic Wetlands Using Multi-Source Remotely Sensed Data. - Baoxin Hu; Yongjie Xia; Glen Brown; Jianguo Wang 003 (IGARSS, 2023)

Potential Carbon Emissions and Carbon Sequestration in the Clay Belt Following Land Conversions. - Ima Ituen; Baoxin Hu (IGARSS, 2023)

Multi-Source Data Approach for Land Use/Landcover Change in the Clay Belt of Ontario, Canada. - Ima Ituen; Baoxin Hu (IGARSS, 2023)

A Method for Updating Individual Tree Species Samples Based on Different Images. - Caiyan Chen; Linhai Jing; Fulong Chen 001; Hui Li 008; Baoxin Hu (IGARSS, 2024)

A Deep Learning Approach to Individual Tree Crown Detection from Airborne LiDAR Data in a Mixed-Wood Forest. - Qian Li; Baoxin Hu (IGARSS, 2024)

An object-based region-growing phase unwrapping method for mapping vertical displacement in permafrost landscapes. - Yongjie Xia; Baoxin Hu; Jianguo Wang 003; Glen Brown (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Land Cover Classification of Subarctic Wetlands Using Multisource Remotely Sensed Data. - Baoxin Hu; Glen Brown; Callie Stirling; Jianguo Wang 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Beaver pond identification from multi-temporal and multi- sourced remote sensing data. - Wen Zhang; Baoxin Hu; Glen Brown; Shawn Meyer (Geo spatial Inf. Sci., 2024)

A Multisource Data Approach for Change and Disturbance Mapping of Ontario's Clay Belt Toward More Accurate Carbon and Emissions Estimation. - Ima Ituen; Baoxin Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)