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Filters: Author is Kim Lowell
2024
K. Lowell, Accuracy of Bathymetric Depth Change Maps Using Multi-Temporal Images and Machine Learning, Journal of Marine Science and Engineering (Special Issue: Remote Sensing and GIS Applications for Coastal Morphodynamic Systems), vol. 12(8). p. 1401 (17 pp), 2024.
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, An empirical evaluation of the localised accuracy of satellite-derived bathymetry and SDB depth change, Marine Geodesy, vol. 47(7). p. 25 pp, 2024.
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)
E. Adediran, Lowell, K., Kastrisios, C., Rice, G., and Zhang, Q., Exploring Ancillary Parameters for Quantifying Interpolation Uncertainty in Digital Bathymetric Models, Marine Geodesy. Taylor & Francis Group, 2024.
K. Lowell, Global and Local Magnitude and Spatial Pattern of Uncertainty from Geographically Adaptive Empirical and Machine Learning Satellite Derived Bathymetry Models, GIScience and Remote Sensing, vol. 61(1). p. 2297549, 2024.PDF icon Lowell_Rzhanov_2023_GlblAndLocalSpatialUncertPatternFromGeogAdaptiveSDBModels.pdf (8.27 MB)
Y. Rzhanov, Once More on the (Im)possibility of Color Reconstruction in Underwater Images, Journal of Imaging (Communication in the special issue Underwater Imaging -- 2nd Edition), vol. 10(10). p. 247 (9 pp), 2024.
A. Granger and Lowell, K., Optimizing the Accuracy of Bathymetric Maps Developed Using Automated and Manual Techniques to Extract Training Data from ICESat-2 Data, Canadian Hydrographic Conference 2024. p. Saint John's, Newfoundland, Canada, 2024.PDF icon Granger_Lowell_CHC2024_Abstract.pdf (10.95 KB)
2022
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.
2021
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.
2019
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., Machine Learning Strategies for Enhancing Bathymetry Extraction from Imbalanced Lidar Point Clouds, Oceans '19. IEEE, Seattle, WA, 2019.
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)