Publications

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3D reconstruction
H. Hu, Euclidean Reconstruction of Natural Underwater Scenes Using Optic Imagery Sequence, University of New Hampshire, Durham, NH, 2015.PDF icon Han_Thesis.pdf (2.78 MB)
Acoustic Echo Sounders
T. C. Weber, De Robertis, A., Greenaway, S. F., Smith, S. M., Mayer, L. A., and Rice, G. A., Estimating oil concentration and flow rate with calibrated vessel-mounted acoustic echo sounders, PNAS (Proceedings of the National Academy of Sciences of the United States of America), vol. 108. 2011.
Acoustic Scattering; Gas Bubbles;
A. M. Padilla, Rychert, K. M., and Weber, T. C., Experimental Observations of Acoustic Backscattering from Spherical and Wobbly Bubbles, 173rd Meeting of the Acoustical Society of America. p. Boston, MA, 2017.
Acoustic Scattering; Gas Bubbles; Multiple Scattering; Low-Frequency; Coal Oil Point Seep Field
A. M. Padilla, Loranger, S., and Weber, T. C., Evidence of Low-Frequency Multiple Scattering of Methane Gas Bubbles at Coal Oil Point, Santa Barbara, California, 174th Meeting of the Acoustical Society of America. p. New Orleans, LA, 2017.
Affine transformation
H. Hu, Euclidean Reconstruction of Natural Underwater Scenes Using Optic Imagery Sequence, University of New Hampshire, Durham, NH, 2015.PDF icon Han_Thesis.pdf (2.78 MB)
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.
Applied sciences; Change detection; Nonlinear model; Satellite derived bathymetry; Total uncertainty propagation
R. Freire, Evaluating Satellite Derived Bathymetry in Regard to Total Propagated Uncertainty, Multi-Temporal Change Detection, and Multiple Non-Linear Estimation, University of New Hampshire, Durham, NH, 2017.PDF icon friere-ricardo-dissertation-2017.pdf (2.82 MB)
ASVi
R. Kane, Gee, L., Roman, C., Schmidt, V., Sudek, M., Spathias, H., Coward, G., and Raineault, N. A., E/V Nautilus: Seafloor Exploration and Mapping in the National Marine Sanctuary of American Samoa, 2019 Fall Meeting of the American Geophysical Union. American Geophysical Union , San Francisco, CA, 2019.
automated procedures
G. Masetti, Faulkes, T., Wilson, M. J., and Wallace, J., Effective Automated Procedures for Hydrographic Data Review, Geomatics, vol. 2(3). MDPI, Basel, Switzerland, pp. 338-354, 2022.
Beer-Lambert law
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
chart updates
C. Bongiovanni and Schmidt, V., Evaluating Outside Source Interferometric Data for Chart Updates, 2016 Canadian Hydrographic Conference. Canadian Hydrographic Association, Halifax, Nova Scotia, Canada, 2016.PDF icon CHC_Schmidt_2016_final.pdf (2.9 MB)
color mapping
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
Crowdsourced Bathymetry
B. R. Calder, Estimating Observer and Data Reputation in Mariner-volunteered Bathymetry, International Hydrographic Review, vol. 2021. International Hydrographic Organisation, Monaco, pp. 77-96, 2021.
data quality visualization
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
data review
G. Masetti, Faulkes, T., Wilson, M. J., and Wallace, J., Effective Automated Procedures for Hydrographic Data Review, Geomatics, vol. 2(3). MDPI, Basel, Switzerland, pp. 338-354, 2022.
Data uncertainty
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
Data Visualization
C. Ware and Osborne, S., Explorations and Virtual Camera Control in Virtual Three Dimensional Enivronments, Computer Graphics, vol. 24. Association for Computing Machinery (ACM), New York, NY, USA, pp. 175-183, 1990.PDF icon Ware_1990_CG_Explorations_virtual_camera_control_in_virtual_3D_environs.pdf (843.15 KB)
C. Ware and Franck, G., Evaluating Stereo and Motion Cues for Visualizing Information Nets in Three Dimensions, ACM Computing Surveys, vol. 15. Association for Computing Machinery (ACM), New York, NY, USA, pp. 121-139, 1996.PDF icon Ware_1996_TOG_Evaluating_stereo_motion_cues_visualizing_info_nets_in_3D.pdf (148.76 KB)
K. Arthur, Booth, K. S., and Ware, C., Evaluating Human Performance for Fishtank Virtual Reality, ACM Transactions on Information Systems, vol. 11. Association for Computing Machinery (ACM), New York, NY, USA, pp. 239-265, 1993.
Data Visualization - Flow Visualization
T. Butkiewicz, Exploring Ocean Flow Models with a Multitouch 3D Interface, Sea Technology. pp. 44-46, 2012.
deconvolution
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
deep sea habitats
L. McKenna, Cantwell, K., Kennedy, B., Elliott, K., Lobecker, E., and Sowers, D., Exploring Deep Sea Habitats for Baseline Characterization Using NOAA Ship Okeanos Explorer, 2015 Fall Meeting, American Geophysical Union (AGU). San Francisco, CA, 2015.
Deepwater Horizon
T. C. Weber, De Robertis, A., Greenaway, S. F., Smith, S. M., Mayer, L. A., and Rice, G. A., Estimating oil concentration and flow rate with calibrated vessel-mounted acoustic echo sounders, PNAS (Proceedings of the National Academy of Sciences of the United States of America), vol. 108. 2011.
Dense Matching
H. Hu, Euclidean Reconstruction of Natural Underwater Scenes Using Optic Imagery Sequence, University of New Hampshire, Durham, NH, 2015.PDF icon Han_Thesis.pdf (2.78 MB)
depth contours
C. Kastrisios, Efforts to Streamline Bathymetry Compilation for Marine Navigation, 31st International Cartographic Conference. International Cartographic Association (ICA), Cape Town, South Africa, p. Cape Town, South Africa, 2023.
design study
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
e-Navigation
L. Alexander, e-Navigation and Pilotage: Challenges and Opportunities, 2011 Canadian Maritime Pilots Association Congress. Halifax, Nova Scotia, Canada, 2011.
G. Ringuette, Pelletier, S., Dagenais, D. A., and Alexander, L., e-Navigation on the St. Lawrence River in Canada: Past, Present and Future, e-Navigation Underway 2012. Copenhagen, Denmark, 2012.
L. Alexander, e-Navigation 101: What is it, Why important, and How should it Work?, e-Navigtion Underway 2014 - North America. Califorina Maritime Academy, Vallejo, CA, 2014.
L. Alexander, e-Navigation: Some Core Technologies and Solutions, 8th Seoul International Maritime Forum. Seoul, South Korea, 2014.
ecdis
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
Electronic Charting
H. Hecht, Berking, B., Jonas, M., and Alexander, L., The Electronic Chart. Fundamentals, Functions and other Essentials: A Textbook for ECDIS Use and Training, Third. Lemmer, The Netherlands: Geomares Publishing, 2011, p. 378.
Electronic Navigational Chart
C. Kastrisios, Contarinis, S., Butkiewicz, T., Nakos, B., Sullivan, B. M., Harmon, C., Christie, E., and Bartlett, M., Efforts for Developing Symbology for New S-1xx PS, IHO Nautical Cartography Working Group (NCWG), Wollongong, Australia, 2022.
EM 2040; Frequency dependency; Multibeam backscatter; Multifrequency backscatter; Seafloor characterization; Sonar equation
A. Peçanha, Evaluating the Usage of Multi-frequency Backscatter Data as an Additional Tool for Seafloor Characterization, University of New Hampshire, Durham, NH, 2016.PDF icon pecana-anderson-thesis.pdf (5.33 MB)
ENC validation checks; automated nautical cartography; digital terrain modelling; topographic surface; nautical surface; surface reconstruction;
C. Kastrisios, Calder, B. R., and Bartlett, M., ENC Depth Areas: Quality Control of Sea-bottom Surface Continuity and Error Fixes, 2020 Canadian Hydrographic Conference. Quebec City, Quebec, Canada, 2020.PDF icon Kastrisios_Calder_Bartlett_CHC2020_DepthAreasContinuity_Abstract_20200226.pdf (291.46 KB)
Essential Fish Habitat
J. L. Pirtle, Wilson, C. D., Rooper, C., Weber, T. C., and Heifetz, J., Essential Fish Habitat project status report, NOAA Alaska Fisheries Science Center, Seattle, WA, USA, 2011.
Essential Fish Habitat; Seafloor Characterization; Groundfish; Gulf of Alaska; Simrad ME70
J. L. Pirtle, Weber, T. C., Wilson, C. D., Rooper, C., and Heifetz, J., Essential Fish Habitat Project Status Report: Low-cost multibeam mapping to support habitat based groundfish assessment and deepwater coral research in the Gulf of Alaska, NOAA Alaska Fisheries Science Center, Seattle, WA, USA, 2012.
estimation of errors
M. Jakobsson, Calder, B. R., Mayer, L. A., and Armstrong, A. A., On the Estimation of Errors in Gridded Bathymetric Compilations, 2001 Fall Meeting, American Geophysical Union (AGU). American Geophysical Union , San Francisco, CA, 2001.Image icon Jakobsson_2001_AGU_On_the_estimation_of_error.jpg (741.29 KB)
euclidean reconstruction
H. Hu, Euclidean Reconstruction of Natural Underwater Scenes Using Optic Imagery Sequence, University of New Hampshire, Durham, NH, 2015.PDF icon Han_Thesis.pdf (2.78 MB)
Extreme Gradient Boosting
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.
forests
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
frequency response
S. Loranger and Weber, T. C., An Evaluation of the Frequency Response of Hydrocarbon Droplets, 171st Meeting of the Acoustical Society of America. p. Salt Lake City, UT, 2016.
Gaussian fitting
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
generalization
C. Kastrisios, Efforts to Streamline Bathymetry Compilation for Marine Navigation, 31st International Cartographic Conference. International Cartographic Association (ICA), Cape Town, South Africa, p. Cape Town, South Africa, 2023.
gridded bathymetric compilations
M. Jakobsson, Calder, B. R., Mayer, L. A., and Armstrong, A. A., On the Estimation of Errors in Gridded Bathymetric Compilations, 2001 Fall Meeting, American Geophysical Union (AGU). American Geophysical Union , San Francisco, CA, 2001.Image icon Jakobsson_2001_AGU_On_the_estimation_of_error.jpg (741.29 KB)
hydrocarbon
S. Loranger and Weber, T. C., An Evaluation of the Frequency Response of Hydrocarbon Droplets, 171st Meeting of the Acoustical Society of America. p. Salt Lake City, UT, 2016.
hydrographic survey
G. Masetti, Faulkes, T., Wilson, M. J., and Wallace, J., Effective Automated Procedures for Hydrographic Data Review, Geomatics, vol. 2(3). MDPI, Basel, Switzerland, pp. 338-354, 2022.
IHO Product Specification
C. Kastrisios, Contarinis, S., Butkiewicz, T., Nakos, B., Sullivan, B. M., Harmon, C., Christie, E., and Bartlett, M., Efforts for Developing Symbology for New S-1xx PS, IHO Nautical Cartography Working Group (NCWG), Wollongong, Australia, 2022.
Interfermometric data
C. Bongiovanni and Schmidt, V., Evaluating Outside Source Interferometric Data for Chart Updates, 2016 Canadian Hydrographic Conference. Canadian Hydrographic Association, Halifax, Nova Scotia, Canada, 2016.PDF icon CHC_Schmidt_2016_final.pdf (2.9 MB)
internal waves
R. E. Hansen, Lyons, A. P., Sæbø, T. O., Callow, H. J., and Cook, D. A., The Effect of Internal Wave-Related Features on Synthetic Aperture Sonar, IEEE Journal of Oceanic Engineering, vol. 40, No. 3. IEEE, pp. 621-631, 2015.PDF icon IEEE_JOE_vol_40_pages_621-631.pdf (2.88 MB)
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.
LAD
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
Law of the Sea
A. A. Armstrong and Mosher, D. C., Extended Continental Shelf Mapping Cruise in Vicinity of Palmyra Atoll, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, Durham, NH, 2016.PDF icon RB1601-line-islands-kingman-palmyra.pdf (7.63 MB)
leaf area density
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
lidar; bathymetry; uncertainty; surface waves
M. Birkebak, Eren, F., Pe'eri, S., and Weston, N., The Effect of Surface Waves on Airborne Lidar Bathymetry (ALB) Measurement Uncertainties, Remote Sensing: Special Issue – Advances in Undersea Remote Sensing, vol. 10(3). MDPI Publishing, p. 453, 2018.
Match propagation
H. Hu, Euclidean Reconstruction of Natural Underwater Scenes Using Optic Imagery Sequence, University of New Hampshire, Durham, NH, 2015.PDF icon Han_Thesis.pdf (2.78 MB)
Mobile Crowd Sensing
B. R. Calder, Estimating Observer and Data Reputation in Mariner-volunteered Bathymetry, International Hydrographic Review, vol. 2021. International Hydrographic Organisation, Monaco, pp. 77-96, 2021.
Nautical Chart
C. Kastrisios, Efforts to Streamline Bathymetry Compilation for Marine Navigation, 31st International Cartographic Conference. International Cartographic Association (ICA), Cape Town, South Africa, p. Cape Town, South Africa, 2023.
nautical charts
G. Masetti, Faulkes, T., Wilson, M. J., and Wallace, J., Effective Automated Procedures for Hydrographic Data Review, Geomatics, vol. 2(3). MDPI, Basel, Switzerland, pp. 338-354, 2022.
Observer Reputation
B. R. Calder, Estimating Observer and Data Reputation in Mariner-volunteered Bathymetry, International Hydrographic Review, vol. 2021. International Hydrographic Organisation, Monaco, pp. 77-96, 2021.
Ocean exploration
R. Kane, Gee, L., Roman, C., Schmidt, V., Sudek, M., Spathias, H., Coward, G., and Raineault, N. A., E/V Nautilus: Seafloor Exploration and Mapping in the National Marine Sanctuary of American Samoa, 2019 Fall Meeting of the American Geophysical Union. American Geophysical Union , San Francisco, CA, 2019.
Oil Concentration
T. C. Weber, De Robertis, A., Greenaway, S. F., Smith, S. M., Mayer, L. A., and Rice, G. A., Estimating oil concentration and flow rate with calibrated vessel-mounted acoustic echo sounders, PNAS (Proceedings of the National Academy of Sciences of the United States of America), vol. 108. 2011.
okeanos explorer
L. McKenna, Cantwell, K., Kennedy, B., Elliott, K., Lobecker, E., and Sowers, D., Exploring Deep Sea Habitats for Baseline Characterization Using NOAA Ship Okeanos Explorer, 2015 Fall Meeting, American Geophysical Union (AGU). San Francisco, CA, 2015.
optic imagery
H. Hu, Euclidean Reconstruction of Natural Underwater Scenes Using Optic Imagery Sequence, University of New Hampshire, Durham, NH, 2015.PDF icon Han_Thesis.pdf (2.78 MB)
Optical Imagery
C. E. Parrish, Sault, M., White, S. A., and Sellars, J., Empirical Analysis of Aerial Camera Filters for Shoreline Mapping, American Society for Photogrammetry and Remote Sensing (ASPRS). Baltimore, MD, USA, 2005.PDF icon Parrish_2005_Emperical_Anallysis_Of_Aerial_Camera_Filters.pdf (927.62 KB)
Other
D. Alexandrou, de Moustier, C., and Haralabus, G., Evaluation and Verification of Bottom Acoustic Reverberation Statistics Predicted by the Point Scattering Model, Journal of the Acoustical Society of America, vol. 91. Acoustical Society of America, Melville, NY, USA, pp. 1403-1413, 1992.PDF icon Alexandrou_1992_JASA_Evaluation_and_verification_of_bottom_acoustic_reverberation_stats_predicted_by_pt_scattering_model.pdf (834.46 KB)
M. S. Boettcher, McGarr, A., and Johnston, M. J., Extension of Gutenberg-Richter Distribution to Mw -1.3, No Lower Limit in Sight, Geophysical Research Letters, vol. 36. American Geophysical Union , Washington DC, Washington DC, USA, p. 1-, 2009.PDF icon Boettcher_09_GRL_Extension_of_Gutenberg-Richter_distribution.pdf (683.75 KB)
G. Masetti and Orsini, F., Environmental Risks Monitoring of Shipwrecks in Italian Seas, International Hydrographic Review, vol. 11. International Hydrographic Bureau, Monaco, Monaco Cedex, Monaco, pp. 52-60, 2009.PDF icon Masetti_2009_Environmental_Risks.pdf (369.02 KB)
R. Arsenault and Ware, C., Eye-Hand Co-ordination with Force Feedback, ACM Computer Human Interaction (CHI). The Hague, South Holland, The Netherlands, pp. 0-8, 2000.PDF icon Arsenault_2000_CHI_Eye-hand_co-ordination_with_force_feedback.pdf (101.68 KB)
M. Jakobsson, Calder, B. R., Mayer, L. A., and Armstrong, A. A., Error Estimation of Bathymetric Grid Models Derived from Historic and Contemporary Data Sets, U.S. Hydrographic Conference (US HYDRO). Norfolk, VA, USA, pp. 0-17, 2001.PDF icon Jakobsson_2001_THSOA_Error_estimation_of_bathymetric_grid_models_derived_from_historic_and_contemporary_datasets.pdf (226.25 KB)
M. D. Plumlee and Ware, C., An Evaluation of Methods for Linking 3D Views, ACM SIGGRAPH Symposium on Interactive 3D Graphics (I3D). Monterey, CA, USA, pp. 193-201, 2003.PDF icon Plumlee_2003_SIGGRAPH_An_evaluation_of_methods_for_linking_3d_views.pdf (2.51 MB)
M. Jakobsson, Calder, B. R., Mayer, L. A., and Armstrong, A. A., On the Estimation of Errors in Sparse Bathymetric Geophysical Data Sets, EOS Transactions, American Geophysical Union , vol. 82. Boston, MA, USA, pp. 0-0, 2001.
L. Alexander, Electronic Charts (Chapter 14), in The American Practical Navigator, Bethesda, MD, USA: National Imaging and Mapping Agency, 2003, pp. 199-215.PDF icon Alexander_2003_APN_Electronic_charts.pdf (278.37 KB)
J. P. Ericson, Vorosmarty, C. J., Dingman, S. L., Ward, L. G., and Meybeck, M., Effective sea-level rise in deltas: Causes of change and human dimension implications, Global and Planetary Change, vol. 50. Elsevier, New York, NY, USA, pp. 63-82, 2006.PDF icon Ericson_2005_GPC_Effective_sea-level_rise_and_deltas.pdf (839.07 KB)
T. C. Weber, Lyons, A. P., and Bradley, D. L., An Estimate of the Gas Transfer Rate from Oceanic Bubbles Derived from Multibeam Sonar Observations of a Ship Wake, Journal of Geophysical Research, vol. 110. American Geophysical Union, Washington, DC, pp. 1-11, 2005.
Portrayal
C. Kastrisios, Contarinis, S., Butkiewicz, T., Nakos, B., Sullivan, B. M., Harmon, C., Christie, E., and Bartlett, M., Efforts for Developing Symbology for New S-1xx PS, IHO Nautical Cartography Working Group (NCWG), Wollongong, Australia, 2022.
Ranking System
B. R. Calder, Estimating Observer and Data Reputation in Mariner-volunteered Bathymetry, International Hydrographic Review, vol. 2021. International Hydrographic Organisation, Monaco, pp. 77-96, 2021.
refraction effects
R. E. Hansen, Lyons, A. P., Sæbø, T. O., Callow, H. J., and Cook, D. A., The Effect of Internal Wave-Related Features on Synthetic Aperture Sonar, IEEE Journal of Oceanic Engineering, vol. 40, No. 3. IEEE, pp. 621-631, 2015.PDF icon IEEE_JOE_vol_40_pages_621-631.pdf (2.88 MB)
safety of navigation
C. Kastrisios, Contarinis, S., Butkiewicz, T., Nakos, B., Sullivan, B. M., Harmon, C., Christie, E., and Bartlett, M., Efforts for Developing Symbology for New S-1xx PS, IHO Nautical Cartography Working Group (NCWG), Wollongong, Australia, 2022.
C. Kastrisios, Efforts to Streamline Bathymetry Compilation for Marine Navigation, 31st International Cartographic Conference. International Cartographic Association (ICA), Cape Town, South Africa, p. Cape Town, South Africa, 2023.
Seafloor Characterization
S. M. Steele and Lyons, A. P., An Experimental Test of End-Fire Synthetic Aperture Sonar for Sediment Acoustics Studies, 176th Meeting Acoustical Society of America. p. Victoria, BC, Canada, 2018.
S. M. Steele and Lyons, A. P., End-fire Synthetic Aperture Sonar for Seafloor Volume Scattering Studies, The Journal of the Acoustical Society of America, p. Minneapolis Minnesota, 2018.
seafloor height fields
A. P. Lyons, Olson, D. R., Hansen, R. E., and Sæbø, T. O., Estimation of Seafloor Height Fields with Side-Looking Sonar Systems, Conference on Seabed and Sediment Acoustics: Measurements and Modeling . Bath, UK, 2015.
seafloor scattering
S. M. Steele and Lyons, A. P., An Experimental Test of End-Fire Synthetic Aperture Sonar for Sediment Acoustics Studies, 176th Meeting Acoustical Society of America. p. Victoria, BC, Canada, 2018.
S. M. Steele and Lyons, A. P., End-fire Synthetic Aperture Sonar for Seafloor Volume Scattering Studies, The Journal of the Acoustical Society of America, p. Minneapolis Minnesota, 2018.
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.
Sonar Capabilities
R. Hare, Hughes Clarke, J. E., Whittaker, C., Broadus, M., Martinolich, R., and Beaudoin, J., Establishing a Multibeam Sonar Evaluation Test Bed near Sidney, British Columbia, 2012 Canadian Hydrographic Conference. Niagara Falls, Ontario, Canada, 2012.
Sounding Selection
C. Kastrisios, Calder, B. R., Masetti, G., and Holmberg, P., On the Effective Validation of Charted Soundings and Depth Curves, U.S. Hydro 2019. Biloxi, MS, 2019.PDF icon Kastrisios_etal_2019_On_the_effective_validation_of_charted_soundings_and_depth_curves_USHydro.pdf (1.66 MB)
C. Kastrisios, Efforts to Streamline Bathymetry Compilation for Marine Navigation, 31st International Cartographic Conference. International Cartographic Association (ICA), Cape Town, South Africa, p. Cape Town, South Africa, 2023.
symbology
C. Kastrisios, Contarinis, S., Butkiewicz, T., Nakos, B., Sullivan, B. M., Harmon, C., Christie, E., and Bartlett, M., Efforts for Developing Symbology for New S-1xx PS, IHO Nautical Cartography Working Group (NCWG), Wollongong, Australia, 2022.
synthetic aperture sonar
R. E. Hansen, Lyons, A. P., Sæbø, T. O., Callow, H. J., and Cook, D. A., The Effect of Internal Wave-Related Features on Synthetic Aperture Sonar, IEEE Journal of Oceanic Engineering, vol. 40, No. 3. IEEE, pp. 621-631, 2015.PDF icon IEEE_JOE_vol_40_pages_621-631.pdf (2.88 MB)
S. M. Steele and Lyons, A. P., An Experimental Test of End-Fire Synthetic Aperture Sonar for Sediment Acoustics Studies, 176th Meeting Acoustical Society of America. p. Victoria, BC, Canada, 2018.
S. M. Steele and Lyons, A. P., End-fire Synthetic Aperture Sonar for Seafloor Volume Scattering Studies, The Journal of the Acoustical Society of America, p. Minneapolis Minnesota, 2018.
Underwater image
H. Hu, Euclidean Reconstruction of Natural Underwater Scenes Using Optic Imagery Sequence, University of New Hampshire, Durham, NH, 2015.PDF icon Han_Thesis.pdf (2.78 MB)
user surveys
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
Vessel-Mounted Acoustic Echo Sounders
T. C. Weber, De Robertis, A., Greenaway, S. F., Smith, S. M., Mayer, L. A., and Rice, G. A., Estimating oil concentration and flow rate with calibrated vessel-mounted acoustic echo sounders, PNAS (Proceedings of the National Academy of Sciences of the United States of America), vol. 108. 2011.
Visual Variables
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
Visualization
T. Butkiewicz and Stevens, A. H., Effectiveness of Structured Textures on Dynamically Changing Terrain-like Surfaces, IEEE Visualization (VIS). IEEE, Chicago, IL, USA, 2015.
Volunteered Bathymetric Information
B. R. Calder, Estimating Observer and Data Reputation in Mariner-volunteered Bathymetry, International Hydrographic Review, vol. 2021. International Hydrographic Organisation, Monaco, pp. 77-96, 2021.
Volunteered Geographic Information
B. R. Calder, Estimating Observer and Data Reputation in Mariner-volunteered Bathymetry, International Hydrographic Review, vol. 2021. International Hydrographic Organisation, Monaco, pp. 77-96, 2021.
waveform LiDAR
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
Weiner deconvolution
T. Adams, Beets, P., and Parrish, C. E., Extracting More Data from LiDAR in Forested Areas by Analyzing Waveform Shape, Remote Sensing, vol. 4. MDPI Publishing, Basel, Switzerland, pp. 682-702, 2012.PDF icon remotesensing-04-00682-v2-1.pdf (3.89 MB)
Zones of Confidence
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.