Publications

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K. Lowell and Calder, B. R., Improving Extraction of Bathymetry from Lidar Using Machine Learning, 20th Annual Coastal Mapping & Charting Workshop of the Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). p. Notre Dame, IN, 2019.
K. Lowell and Calder, B. R., Applying Machine Learning to LIDAR Pulse Return Meta-Data to Improve Bathymetric Mapping in Shallow Water, Computers and Geosciences. Taylor and Francis, London, UK, Submitted.
K. Lowell and Calder, B. R., Machine Learning Strategies for Enhancing Bathymetry Extraction from Imbalanced Lidar Point Clouds, Oceans 2019. IEEE, Seattle, WA, 2019.PDF icon Oceans2019_KLowell_BCalder_190523-005.pdf (741.12 KB)
K. Lowell and Calder, B. R., Machine Learning Strategies for Enhancing Bathymetry Extraction from Imbalanced Lidar Point Clouds, Oceans '19. IEEE, Seattle, WA, 2019.
K. Lowell, Calder, B. R., and Lyons, A. P., Developing Machine Learning Models for Quality Assurance and Continuous Improvement of Bathymetry Extraction from Lidar Point Clouds, Canadian Hydrographic Conference. Quebec City, Quebec, Canada, 2020.PDF icon Lowell_Calder_CHC2020_Final.pdf (638.59 KB)
K. Lowell, Calder, B. R., and Lyons, A. P., Measuring Shallow-water Bathymetric Signal Strength in Lidar Point Attribute Data Using Machine Learning, International Journal of Geographical Information Science. Taylor and Francis, 2020.
K. Lowell and Calder, B. R., Assessing Marginal Shallow-Water Bathymetric Information Content of Lidar Sounding Attribute Data and Derived Seafloor Geomorphometry, Remote Sensing, vol. 13(9), 1604. MDPI, 2021.PDF icon lowell-calder-2021-remotesensing-13-01604.pdf (3.71 MB)