Publications

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airborne lidar
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.
Atlantic Deepwater Ecosystem Observatory Network/ADEON
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.
BACI
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.
bathymetric lidar
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.
bathymetric mapping
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, vol. 35(8) (DOI:10.1080/13658816.2020.1925790). Taylor and Francis, pp. 1592-1610, 2021.
beaked whale behavior
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.
Before-After Control-Impact
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.
change-point analysis
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.
confusion matrix decomposition
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.
coral reefs
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., “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.
COVID-19
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.
deep learning
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.
Dissimilarity Index
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.
Extreme Gradient Boosting
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 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.
Florida Keys
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.
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.
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.
Geospatial Analysis
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.
GLC approach
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.
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.
hydrography
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.
hypothesis testing
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.
imbalanced samples
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.
interpolated bathymetry
E. Adediran, Lowell, K., Kastrisios, C., and Rice, G. A., “A Machine Learning Approach to Characterizing Uncertainty in Interpolated Bathymetric Datasets”, 2023 US Hydro Conference. p. Mobile, AL, 2023.
interpolation-based digital bathymetric models
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-means clustering
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.
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.
kurtosis
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.
LIDAR
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, vol. 35(8) (DOI:10.1080/13658816.2020.1925790). Taylor and Francis, pp. 1592-1610, 2021.
Lidar Data Processing
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.
lidar metadata
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.
Machine Learning
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, 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, vol. 35(8) (DOI:10.1080/13658816.2020.1925790). Taylor and Francis, pp. 1592-1610, 2021.
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.
E. Adediran, Lowell, K., Kastrisios, C., and Rice, G. A., “A Machine Learning Approach to Characterizing Uncertainty in Interpolated Bathymetric Datasets”, 2023 US Hydro Conference. p. Mobile, AL, 2023.
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.
marine acoustics
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.
marine mammal
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.
marine traffic
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.
metrics
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.
multibeam echosounder
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.
Nautical Charting
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.
Ocean Sound
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.
probability decision threshold
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.
semantic segmentation
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.
shallow water bathymetry
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.
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.
sound level
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.
Soundscape
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.
spatial autocorrelation
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.
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.
spatial change
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.
structural complexity
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.
structure-from-motion (SfM) photogrammetry
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.
Uncertainty Estimation
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.