Kim Lowell
Kim Lowell is a Research Scientist at the Center for Coastal and Ocean Mapping (CCOM), an Adjunct Professor in Analytics and Data Science, and an Affiliate Research Professor in the Earth Systems Research Centre. His primary focus at CCOM is the application of machine learning, deep learning, and other data analytics techniques to improve the accuracy of bathymetric charts.
He has considerable experience in the analysis of geospatial information to address land management issues using GIS, spatial statistics, and optical, radar, and lidar imagery while also accounting for uncertainties inherent in those data. Prior to joining CCOM, he was a Program Manager for a nationwide (Australian) collaborative geospatial research consortium whose members included private companies, government agencies, and universities. He also has been the Director of a group of hydrologically based landscape modellers for a state Department of Primary Industries (Victoria, Australia). Prior to that he was a tenured Full Professor in the Faculty of Forestry and Geomatic Engineering at Université Laval (Québec, Canada).
Kim has an M.Sc. (University of Vermont, USA) and a Ph.D. (Canterbury University, New Zealand) in Forest Biometrics, and an M.Sc. in Data Science and Analytics (University of New Hampshire, USA).
Courses Taught
- IAM 999: Doctoral Research
Selected Publications
Adediran, E., Kastrisios, C., Lowell, K., Rice, G., & Zhang, Q. (2025). Toward Quantifying Interpolation Uncertainty in Set-Line Spacing Hydrographic Surveys. ISPRS International Journal of Geo-Information, 14(2), 90. doi:10.3390/ijgi14020090
Rzhanov, Y., & Lowell, K. (2024). Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images.. J Imaging, 10(10). doi:10.3390/jimaging10100247
Lowell, K., & Hermann, J. (2024). Accuracy of Bathymetric Depth Change Maps Using Multi-Temporal Images and Machine Learning. Journal of Marine Science and Engineering, 12(8), 1401. doi:10.3390/jmse12081401
Adediran, E., Lowell, K., Kastrisios, C., Rice, G., & Zhang, Q. (2024). Exploring Ancillary Parameters for Quantifying Interpolation Uncertainty in Digital Bathymetric Models. Marine Geodesy, 47(4), 289-323. doi:10.1080/01490419.2024.2338730
Lowell, K., & Calder, B. (2021). Extracting shallow-water bathymetry from lidar point clouds using pulse attribute data: merging density-based and machine learning approaches. MARINE GEODESY, 44(4), 259-286. doi:10.1080/01490419.2021.1925790
Lowell, K. (2017). A socio-environmental monitoring system for a UNESCO biosphere reserve.. Environ Monit Assess, 189(12), 601. doi:10.1007/s10661-017-6200-3