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Conference Abstract
G. Trudeau and Lowell, K., Detecting Coral Reef Presence Using ICESat-2 Data and Machine Learning Methods, Canadian Hydrographic Conference 2024. p. Saint John's, Newfoundland, Canada, 2024.PDF icon Trudeau_Lowell_CHC2024_Abstract.pdf (62.92 KB)
K. Lowell and Rzhanov, Y., Episodic Satellite-Derived Depth Change from a Single Model Based on “Stacking” Multi-temporal Images, Canadian Hydrographic Conference. p. Saint John's, Newfoundland, Canada, 2024.PDF icon Lowell_Rzhanov_CHC2024_Abstract.pdf (99.3 KB)
Journal Article
J. Miksis-Olds, Martin, B., Lowell, K., Verlinden, C., and Heaney, K., Minimal COVID-19 Quieting Measured in the Deep, Offshore Waters of the U.S. Outer Continental Shelf, Journal of the Acoustical Society of America Express Letters, vol. 2(9). p. 090801, 2022.
K. Lowell and Calder, B. R., Operational Performance of a Combined Density- and Clustering-based Approach to Extract Bathymetry Returns from LiDAR Point Clouds, International Journal of Applied Earth Observation and Geoinformation (Special Issue: Recent Advances in Geocomputation and GeoAI for Mapping), vol. 107. p. 102699, 2022.
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)
J. Pierce, Butler, M. J., Rzhanov, Y., Lowell, K., and Dijkstra, J. A., Classifying 3-D Models of Coral Reefs Using Structure-from-Motion and Multi-View Semantic Segmentation, Frontiers in Marine Science, vol. 8:706674. 2021.
K. Lowell and Calder, B. R., Extracting Shallow-water Bathymetry from Lidar Point Clouds Using Pulse Attribute Data: Merging Density-based and Machine Learning Approaches, Marine Geodesy, vol. 44(4) (DOI: https://doi.org/10.1080/01490419.2021.1925790). Taylor and Francis, pp. 259-286, 2021.
H. Kates Varghese, Lowell, K., and Miksis-Olds, J., Global-Local-Comparison Method: Understanding Marine Mammal Spatial Behavior by Applying Spatial Statistics and Hypothesis Testing to Passive Acoustic Data, Frontiers in Marine Science, vol. 8:625322. 2021.
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, vol. 35(8) (DOI:10.1080/13658816.2020.1925790). Taylor and Francis, pp. 1592-1610, 2021.
D. C. Wilford, Miksis-Olds, J., Martin, S. B., Howard, D. R., Lowell, K., Lyons, A. P., and Smith, M., Quantitative Soundscape Analysis to Understand Multidimensional Features, Frontiers in Marine Science, vol. 8:672336. 2021.
H. Kates Varghese, Lowell, K., Miksis-Olds, J., DiMarzio, N., Moretti, D., and Mayer, L. A., Spatial Analysis of Beaked Whale Foraging During Two 12 kHz Multibeam Echosounder Surveys, Frontiers in Marine Science, vol. 8:654184. 2021.
Conference Proceedings
J. Pierce, Rzhanov, Y., Lowell, K., and Dijkstra, J. A., Reducing Annotation Times: Semantic Segmentation of Coral Reef Survey Images, Global Oceans 2020. IEEE, U.S. Gulf Coast, Biloxi, MS, USA, pp. 1-9, 2020.
Conference Abstract
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.