Publications

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Data Visualization
C. Ware and Lewis, M., The DragMag Image Magnifier, ACM Computer Human Interaction (CHI). Denver, CO, USA, pp. 407-408, 1995.PDF icon Ware_1995_CHI_DragMag_image_magnifier.pdf (282.66 KB)
C. Ware, Gobrecht, C., and Paton, M., Algorithm for dynamic disparity adjustment, Society of Photographic Instrumentation Engineers (SPIE), vol. 2409. San Jose, CA, USA, pp. 150-156, 1995.
C. Gobrecht, Bhavsar, V., and Ware, C., PVMtrace: A 3D distibuted program visualizer, International Conference on High Performance Computers (HPCS). Ottawa, Ontario, Canada, 1996.
C. Ware, Moving Motion Metaphors, ACM Computer Human Interaction (CHI). Vancouver, British Columbia, Canada, pp. 225-226, 1996.
K. Lowther and Ware, C., Vection, ACM Computer Human Interaction (CHI). Vancouver, British Columbia, Canada, pp. 233-234, 1996.
C. Ware, Franck, G., Parkhi, G., and Dudley, T., Layout for Visualizing Large Software Structures in 3D, Interanational Conference on Visual Information Systems (VISUAL). San Diego, CA, USA, pp. 215-223, 1997.
C. Ware and Fleet, D., Context Sensitive Flying Interface, Computer Graphics International (CGI). Hasselt, Limburg, Belgium, pp. 39-46, 1997.PDF icon Ware_1997_CGI_Context_sensitive_flying_interface.pdf (581.69 KB)
C. Ware, Neufeld, E. M., and Bartram, L., Visualizing Causal Relations, IEEE Information Visualization (InfoVis). San Francisco, CA, USA, pp. 39-42, 1999.
L. Gee, Paton, M., Mayer, L. A., Ware, C., Gardner, J. V., and Depner, J., Interactive 3D visualization and analysis of multi-sensor, multi-relolution data sets, International Conference on High-Resolution Survey in Shallow Water (HRSSW). Portsmouth, NH, USA, 2001.
D. H. House and Ware, C., A Method for the Perceptual Optimization of Complex Visualizations, Advanced Visual Interface (AVI). St. Andrews, New Brunswick, Canada, pp. 148-158, 2002.PDF icon House_2002_AVI_Method_for_perceptual_optimization_of_complex_visualizations.pdf (414.58 KB)
C. Ware and Arsenault, R., Frames of Reference in Virtual Object Rotation, ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization (APGV). San Diego, CA, USA, 2004.
C. Ware and Sweet, G., View Direction, Surface Orientation and Texture Orientation for Perception of Surface Shape, Graphics Interface (GI). London, London, UK, pp. 97-106, 2004.PDF icon Ware_2004_GI_View_direction_surface_orientation_and_texture_orientation_for_percep_surface_shape.pdf (733.34 KB)
D. H. House, Bair, A., and Ware, C., On the Optimization of Visualizations of Complex Phenomena, IEEE Visualization (VIS). Minneapolis, MN, USA, pp. 87-94, 2005.
D. Pineo and Ware, C., Neural Modeling of Flow Rendering Effectiveness, Symposium on Applied Perception in Graphics and Visualization. Los Angeles, CA, USA, pp. 171-178, 2008.PDF icon Pineo_08_Neural.pdf (888.51 KB)
T. C. Lethbridge and Ware, C., Animation Using Behaviour Functions, in Visual Languages and Application, no. Tadeo Ichikarva, Erland Jungert and Robert Korfhage, Bingly, West Yorkshire, UK: Emerald Group Publishing Limited, 1990.
K. Hinckley, Jacob, R. K., and Ware, C., Input/Output Devices and Interaction Techniques, in The Computer Science and Engineering Handbook, 2nd ed., no. Chapman & Hall, CRC, Boca Raton, FL, USA: CRC Press, LLC, 2004.
C. Ware, Why Do We Keep Turning Time into Space?, in Understanding Dynamics of Geographic Domains, Boca Raton, FL, USA: CRC Press, LLC, 2008, pp. 3-12.
C. Ware, Information Visualization Perception for Design, 1st ed. Burlington, MA, USA: Morgan Kaufman, 2000, p. 438.
C. Ware, Information Visualization: Perception for Design, 2nd ed. Burlington, MA, USA: Morgan Kaufman, 2004, p. 435.
C. Ware, Visual Thinking for Design. Boca Raton, FL, USA: CRC Press, LLC, 2008.
M. D. Plumlee and Ware, C., Zooming vs. Multiple Window Interfaces: Cognitive Costs of Visual Comparisons, ACM Transactions on Computer-Human Interaction, vol. 13. Association for Computing Machinery (ACM), New York, NY, USA, pp. 1-31, 2006.PDF icon Plumlee_06_TAP_Cognitive_costs_of_visual_comparisons.pdf (1.69 MB)
C. Ware, Information Visualization: Perception for Design. Edition III, 3rdrd ed. Boston, MA, United States: Morgan Kaufman, 2012, p. 512.
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.
R. Kosara, Healey, C. G., Interrante, V., Laidlaw, D. H., and Ware, C., Thoughts on User Studies: Why, How and When, IEEE Computer Graphics and Application. IEEE, Washington DC, Washington DC, USA, pp. 0-0, 1993.
C. Kastrisios, Ware, C., Calder, B. R., Butkiewicz, T., and Alexander, L., An Improved Method for Portraying CATZOC in ECDIS, 2020 Mariners' Workshop. Shipping Federation of Canada, Montreal, Canada, 2020.
C. Kastrisios, Ware, C., Calder, B. R., Butkiewicz, T., and Alexander, L., An alternative methodology (to the star symbols)., International Hydrogarphic Organization, Monaco, 2020.
C. Kastrisios, Ware, C., Calder, B. R., Butkiewicz, T., Alexander, L., and Hauser, O., Nautical Chart Data Uncertainty Visualization as the Means for Integrating Bathymetric, Meteorological, and Oceanographic Information in Support of Coastal Navigation, American Meteorological Society 100th Meeting. p. Boston, MA, 2020.PDF icon Kastrisios_etal_AMS2020_Abstract_ChartDataUncertaintyVisualizationAndIntegration.pdf (284.66 KB)
Data Visualization - Flow Visualization
T. Butkiewicz, Exploring Ocean Flow Models with a Multitouch 3D Interface, Sea Technology. pp. 44-46, 2012.
Data-driven Estimation
B. R. Calder, Distribution-free, Variable Resolution Depth Estimation with Composite Uncertainty, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, New Orleans, LA, USA, 2013.PDF icon calder_distributionfreedepthestimation.pdf (813.94 KB)
database
G. Masetti and Calder, B. R., Huddl: the Hydrographic Universal Data Description Language, International Hydrographic Review, vol. 13. International Hydrographic Bureau, Monaco, Monaco Cedex, Monaco, pp. 17-32, 2015.PDF icon Huddl_IHR_May2015.pdf (1.81 MB)
G. Masetti and Calder, B. R., Marine Object Manager as Information Fusion Tool for Detected and Database-Stored Shipwrecks, WRECKS OF THE WORLD III: Shipwreck Risk Assessment. Gothenburg, Sweden, 2015.
Decadal Trends
J. Miksis-Olds, Bradley, D. L., and Niu, X. M., Decadal Trends in Indian Ocean Ambient Sound, Journal of the Acoustical Society of America, vol. 134. Acoustical Society of America, pp. 3464-3475, 2013.
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., 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.
DEM
J. Rogers, Parrish, C. E., Ward, L. G., and Burdick, D. M., Assessment of Elevation Uncertainty in Salt Marsh Environments Using Discrete-Return and Full-Waveform Lidar, Journal of Coastal Research, vol. SI 76. Coastal Education & Research Foundation [CERF], Coconut Creek, FL, pp. 107-122, 2016.
B. R. Calder and Elmore, P. A., Development of an Uncertainty Propagation Equation for Scalar Fields, Marine Geodesy, vol. 40, 5. Taylor & Francis Group, pp. 341-360, 2017.PDF icon calder-marine-geodesy-2017.pdf (2.27 MB)
Dense Matching
H. Hu, Rzhanov, Y., Hatcher, P. J., and R. Bergeron, D., Binary Adaptive Semi-Global Matching Based on Image Edges, 7th International Conference on Digital Image Processing, vol. 9631. SPIE, Los Angeles, CA, 2015.PDF icon yuri-SICDIP-96311D.pdf (572.27 KB)
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)
density dependent target strength
S. Loranger and Weber, T. C., Diameter and Density Dependent Target Strength of Submerged Oil Droplets Measured by a Broadband, High-frequency Echo Sounder, 169th Meeting of the Acoustical Society of America. p. Pittsburgh, PA, 2015.
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.
depth measurement
F. Eren, Pe'eri, S., and Weston, N., Relationship Between Depth Measurement Uncertainty and Seafloor Characteristics in Airborne Lidar Bathymetry Systems, 2017 U.S. Hydrographic Conference. Galveston, TX, p. Galveston, TX, 2017.
design study
C. Ware and Kastrisios, C., Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty, EuroVis 2022. The Eurographics Association, Rome, Italy, 2022.
C. Kastrisios and Ware, C., Textures for Coding Bathymetric Data Quality Sectors on Electronic Navigational Chart Displays: Design and Evaluation, Cartography and Geographic Information Science, vol. 49(6). Taylor & Francis, 2022.
detector array
F. Eren, Pe'eri, S., Rzhanov, Y., Thein, M. - W., and Celikkol, B., Pose Detection and control of multiple unmanned underwater vehicles using optical feedback, Oceans '14 MTS/IEEE. Taipei, Tawian, 2014.
F. Eren, Pe'eri, S., Rzhanov, Y., Thein, M. - W., and Celikkol, B., Detector Array Design for Optical Communication Between Unmanned Underwater Vehicles (UUVs), IEEE Journal of Oceanic Engineering, vol. 40(1). IEEE Oceanic Engineering Society, pp. 18-26, 2016.PDF icon Eren_et_al_2016_IEEE_JOE.pdf (1.41 MB)
M. Birkebak, Eren, F., Pe'eri, S., and Rzhanov, Y., Underwater-Detector Array for Laser Beam Diagnostics, 16th Annual JALBTCX Airborne Coastal Mapping and Charting Workshop. Corvallis, OR, 2015.
Distributed Processing
B. R. Calder, Parallel and Distributed Performance of a Depth Estimation Algorithm, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, New Orleans, LA, USA, 2013.PDF icon Calder_ParallelDistributedPerformance.pdf (1.87 MB)
Distributed-free Depth Estimation
B. R. Calder, Distribution-free, Variable Resolution Depth Estimation with Composite Uncertainty, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, New Orleans, LA, USA, 2013.PDF icon calder_distributionfreedepthestimation.pdf (813.94 KB)
dynamic biases
S. Pe'eri, Eren, F., Birkebak, M., Pradith, V., Kidd, J., and Riley, J., Measurement of Dynamic Biases in Hydrographic Surveying Using an Industrial Laser Scanner, 2016 Canadian Hydrographic Conference. Canadian Hydrographic Association, Halifax, Nova Scotia, Canada, 2016.PDF icon Kidd_et_al_CHC2016_proceeding_paper.pdf (1004.89 KB)
dynamic rivers
R. Freire, Pe'eri, S., Alexander, L., Rzhanov, Y., Parrish, C. E., and Lippmann, T. C., Use of Satellite Imagery for Monitoring the Mouths of Dynamic Rivers, 2016 Canadian Hydrographic Conference. Halifax, Nova Scotia, Canada, 2016.
dynamic soundscape
J. Miksis-Olds, Vernon, J. A., and Heaney, K., Applying the Dynamic Soundscape to Estimates of Signal Detection, 2nd Underwater Acoustics International Conference and Exhibition. Rhodes, Greece, 2014.
e-Navigation
L. Alexander, e-Navigation and Pilotage: Challenges and Opportunities, 2011 Canadian Maritime Pilots Association Congress. Halifax, Nova Scotia, Canada, 2011.
L. Alexander, IALA’s Vision of e-Navigation, 2011 Canadian Maritime Pilots Association Congress. Halifax, Nova Scotia, Canada, 2011.
R. Ward and Alexander, L., The IHO’s Involvement in e-Navigation, IALA Bulletin, vol. 2011, No. 1. pp. 26-27, 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 and Fukuto, J., Portraying e-Navigation Information: Challenges and Opportunities, 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.
S. Lee and Alexander, L., Software Quality Assurance in e-Navigation: Developing Standards to Harmonize Ship and Shore e-Navigation, Sea Technology, vol. Volume 55, No. 1. pp. 46-48, 2014.
S. M. Kohlbrenner, Eager, M. K., Phommachanh, N. T., Kastrisios, C., Schmidt, V., and Kashyap, A., Toward a Marine Road Network for Ship Passage Planning and Monitoring, 30th International Cartographic Conference. International Cartographic Association, Florence, Italy, 2021.
C. Kastrisios, Schmidt, V., Kohlbrenner, S. M., Eager, M. K., Phommachanh, N. T., and Kashyap, A., Roads of the Sea, 2021 US Hydro Conference. p. Online, 2021.
Earth sciences; Deglacial; Glacial-marine sediments; Juan de Fuca Strait; Seafloor; Stratigraphy
A. T. Hewitt, Seafloor Geology, Deglacial History, and Early Post Glacial Evolution of Eastern Juan De Fuca Strait, University of New Hampshire, Durham, NH, 2002.PDF icon hewitt-antony-thesis.pdf (6.35 MB)
Earth sciences; Depositional history; Estuarine; Paraglacial; Portsmouth harbor; Sedimentary environments
K. Nifong, Sedimentary Environments and Depositional History of a Paraglacial, Estuarine Embayment and Adjacent Inner Continental Shelf: Portsmouth Harbor, New Hampshire,, University of New Hampshire, Durham, NH, 2016.PDF icon nifong-kelly-thesis.pdf (27.69 MB)
Earth sciences; Hydrography; Ocean mapping; Oceanography; Remote sensing; Surveying
C. Bongiovanni, Quantifying Vertical Uncertainty and the Temporal Variability of the Seafloor to Inform Hydrographic Survey Priorities, University of New Hampshire, Durham, NH, 2018.PDF icon Bongiovanni-Cassie-Thesis-2018.pdf (7.1 MB)
East Siberian Arctic Ocean
E. Weidner, Weber, T. C., Mayer, L. A., Jakobsson, M., Chemykh, D., and Semiltov, I., A Wideband Acoustic Method for Direct Assessment of Bubble-Mediated Methane Flux, Continental Shelf Research, vol. 173. Elsevier, pp. 104-115, 2019.
ECS
L. A. Mayer, U.S. Law of the Sea Cruise to Map the Foot of the Slope and 2500-m Isobath of the U.S. Arctic Ocean Margin, Barrow to Barrow. Cruise Report, University of New Hampshire (UNH), Center for Coastal and Ocean Mapping (CCOM)/Joint Hydrographic Center (JHC), 2003.PDF icon Mayer_03_cruise_report_HE-0302.pdf (1.5 MB)
L. A. Mayer and Armstrong, A. A., U.S. Law of the Sea Cruise to Map and Sample the US Arctic Ocean Margin, University of New Hampshire (UNH), Center for Coastal and Ocean Mapping (CCOM)/Joint Hydrographic Center (JHC), 2012.PDF icon HEALY1202_FINAL_CRUISE REPORT.pdf (9.31 MB)
L. A. Mayer, Calder, B. R., and Mosher, D. C., U.S. Law of the Sea Cruise to Map and Sample the US Arctic Ocean Margin, Healy 1603, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, University of New Hampshire, Durham, NH, 2016.
education
G. Masetti, Dijkstra, S. J., Wigley, R., and Faulkes, T., Introducing Programming to Ocean Mapping Students, International Hydrographic Review, vol. 28. International Hydrographic Office (IHO), Monaco, pp. 108-120, 2022.
eelgrass
A. R. Norton, Brown, M., Trembanis, A., and Borrelli, M., Mapping and quantifying morphological parameters of eelgrass (Zostera marina) beds in eastern Cape Cod Bay, MA using an interferometric sonar system, Coastal and Estuarine Research Federation Meeting, Daytona Beach, FL. 2011.
A. R. Norton and Dijkstra, S. J., Detecting and Characterizing the Deep Edge and Canopy Height of Eelgrass Beds Using a Multi-beam Echosounder, Coastal and Estuarine Research Federation Biennial Conference. Portland, OR, 2015.
M. R. Carman, Colarusso, P. D., Nelson, E. P., Grunden, D. W., Wong, M. C., McKenzie, C., Matheson, K., Davidson, J., Fox, S., Neckles, H., Bayley, H., Schott, S., Dijkstra, J. A., and Stewart-Clark, S., Distribution and Diversity of Tunicates Utilizing Eelgrass as Substrate in the Western North Atlantic: A Latitudinal Study Between N 39° and N 47°, Management of Biological Invasions, vol. 7. pp. 51-57, 2016.PDF icon MBI_2016_Carman_etal_1.pdf (291.95 KB)
A. R. Norton and Dijkstra, S. J., Mapping and Measuring Eelgrass with a Multi-beam Sonar in the Great Bay Estuary, New Hampshire, 24th Annual Zosterapalooza. EPA District 1, Boston, MA, 2015.PDF icon 2015_03_21ZosterapaloozaPoster.pdf (2.98 MB)
A. R. Norton and Dijkstra, S. J., Observations of Acoustic Backscatter and Current Velocity Above an Eelgrass Canopy Over Multiple Tidal Cycles, New England Estuarine Research Society Fall Meeting. p. Block Island, RI, 2016.PDF icon Norton_FallNEERSAbstract.pdf (97.52 KB)
A. R. Norton, Development of a New Acoustic Mapping Method for Eelgrass Using a Multi-Beam Echo-Sounder, GeoHab 2017. p. Halifax, Nova Scotia, Canada, 2017.PDF icon Norton_GeoHab2017_Abstract.pdf (203.77 KB)
A. R. Norton and Dijkstra, S. J., Comparing Acoustic- and Aerial Imagery-based Methods of Eelgrass Mapping at Two New England Sites, Coastal and Estuarine Research Federation Biennial Conference. p. Providence, RI, 2017.PDF icon Norton_Abstract_CERF2017_final.pdf (140.67 KB)
eelgrass mapping
A. R. Norton and Dijkstra, S. J., Developments in Eelgrass Mapping Methodology Using Hydrographic Multi-beam Sonar, 25th Annual Zosterapalooza. EPA District 1 Offices, Boston, MA, 2016.PDF icon Zosterapalooza2016poster.pdf (1.42 MB)
effects of noise
K. H. Varghese, Lurton, X., Smith, M., Miksis-Olds, J., and Mayer, L. A., Soundscape Assessment of a Deepwater (12 kHz) Multibeam Mapping Survey, in The Effects of Noise on Aquatic Life, 1stst ed., Springer Cham, 2024, pp. 1-17.
Electronic Chart Display and Information System (ECDIS)
C. Kastrisios, Sullivan, B. M., Powell, J., and Baek, Y., Hydrographic Geospatial Data Standards, in The Geographic Information Science & Technology Body of Knowledge, 2nd Quarter 2022 nd ed., 2022.
Electronic Chart Display and Information Systems (ECDIS)
S. Contarinis, Kastrisios, C., and Nakos, B., Marine protected areas and electronic navigational charts: legal foundation, mapping methods, IHO S‑122 portrayal, and advanced navigation services, Euro-Mediterranean Journal for Environmental Integration, vol. 8. Springer, 2023.
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.
L. Alexander and Casey, M. J., Portable Piloting Unit (PPU) Replacement Study: Phase 2, Laurentian Pilotage Authority, Montreal, Quebec, Canada, 2012.
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.
C. Kastrisios and Ware, C., Data Quality Indicators for Bathymetric Data on ECDIS Display, IHO Nautical Cartography Working Group (NCWG), Wollongong, Australia, 2022.
S. Contarinis, Kastrisios, C., and Nakos, B., S-122 Portrayal and Integration Concepts and Services, Canadian Hydrographic Conference . p. Ottawa, Canada, 2022.
C. Kastrisios, Contarinis, S., Butkiewicz, T., Nakos, B., Sullivan, B. M., Harmon, C., Christie, E., and Bartlett, M., User-Centered Design of Nautical Chart Symbols, 2023 US Hydro Conference. p. Mobile, AL, 2023.
Electronic Navigational Chart (ENC)
C. Kastrisios, Sullivan, B. M., Powell, J., and Baek, Y., Hydrographic Geospatial Data Standards, in The Geographic Information Science & Technology Body of Knowledge, 2nd Quarter 2022 nd ed., 2022.
S. Contarinis, Kastrisios, C., and Nakos, B., Marine protected areas and electronic navigational charts: legal foundation, mapping methods, IHO S‑122 portrayal, and advanced navigation services, Euro-Mediterranean Journal for Environmental Integration, vol. 8. Springer, 2023.
Electronic Navigational Charts ENC
C. Kastrisios, Ware, C., Calder, B. R., Butkiewicz, T., Alexander, L., and Broekman, R., Improved Techniques for Depth Quality Information on Navigational Charts, 8th International Conference on Cartography and GIS, vol. 1. Nessebar, Bulgaria, pp. 73-80, 2020.PDF icon Kastrisios_etal_2020_DepthQualityOnCharts_8ICCGIS_Proceedings_Vol1_(8).pdf (1.75 MB)
Ellipsoid-Referenced Survey
B. R. Calder and Dijkstra, S. J., A Design for a Trusted Community Bathymetry System, Marine Geodesy. Taylor and Francis, 2020.
Ellipsoidal Survey Methods
B. R. Calder, Dijkstra, S. J., Hoy, S., Himschoot, K., and Schofield, A., Design of a Trusted Community Bathymetry System, 2018 Canadian Hydrographic Conference. Canadian Hydrographic Association, Victoria, BC, Canada, 2018.PDF icon 2018-02-19_Calder_etal_TrustedCommunityBathymetry_CHC18.pdf (1.6 MB)
ellipsoidal tessellation
C. Kastrisios and Tsoulos, L., Voronoi Tessellation on the Ellipsoidal Earth for Vector Data, International Journal of Geographical Information Science. Taylor & Francis, pp. 1-17, 2018.
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
S. Reed and Schmidt, V., Nautical Chart Awareness for Autonomous Surface Vehicles, 2016 Canadian Hydrographic Conference. Canadian Hydrographic Association, Halifax, Nova Scotia, Canada, 2016.PDF icon Reed_Sam_CHC_Journal.pdf (599.98 KB)
C. Kastrisios and Ware, C., S-57 CATZOC to S-101 QoBD: From Stars to an Intuitive Visualization with a Sequence of Textures, 2021 US Hydro Conference. p. Online, 2021.
N. Dyer, Kastrisios, C., and De Floriani, L., Towards an Automated Chart-Ready Cartographic Sounding Selection, Canadian Hydrographic Conference . p. Ottawa, Canada, 2022.
K. Cowan, Bernardini, A., Mercedes, A., Troupiotis-Kapeliaris, A., Zissis, D., Kastrisios, C., and Schmidt, V., Toward a Readily Available Maritime Route Suggestion and Prediction System Using Historic "Roads of the Sea", Canadian Hydrographic Conference . p. Ottawa, Canada, 2022.
W. Lingzhi and Kastrisios, C., Cross Check of Data Quality Chapters of S-1xx Product Specifications, 2022 Canadian Hydrographic Conference. p. Ottawa, Canada, 2022.
T. Nada, Kastrisios, C., Calder, B. R., Christie, E., Greene, C., Bethell, A., and Hosuru, M., The Nautical Cartographic Constraints and an Automated Generalization Model, Canadian Hydrographic Conference 2022. p. Ottawa, Canada, 2022.
J. Affonso, Kastrisios, C., Christopher, P., and Calder, B. R., A Geographically Adaptive Model for Satellite Derived Bathymetry, 2022 Canadian Hydrographic Conference. p. Ottawa, Canada, 2022.
T. Butkiewicz, Atkin, I., Sullivan, B. M., Kastrisios, C., Stevens, A. H., and Beregovyi, K., Web-based Visualization of Integrated NextGeneration S-100 Hydrographic Datasets, Oceans 2022. Hampton Roads, VA, 2022.
N. Dyer, Kastrisios, C., and De Floriani, L., Chart Features, Data Quality, and Scale in Cartographic Sounding Selection from Composite Bathymetric Data, Geo-spatial Information Science. Taylor & Francis, 2023.
enc compilation
T. Nada, Kastrisios, C., Calder, B. R., Christie, E., Greene, C., and Bethell, A., Towards Automating the Nautical Chart Generalization Workflow, Geo-spatial Information Science. Taylor & Francis, pp. 1-26, 2024.
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)
ENCs
S. Reed, Providing Nautical Chart Awareness to Autonomous Surface Vessel Operations, OCEANS 2016 MTS/IEEE Monterey. IEEE, Monterey, CA, 2016.PDF icon Reed_Oceans2016_FINAL.pdf (1.12 MB)
V. Schmidt, Autonomous Navigation on US (Electronic) Nautical Charts, 2018 Canadian Hydrographic Conference. Canadian Hydrographic Society, Victoria, CA, 2018.PDF icon ENCsforASVs_VS_vfinal.pdf (4.34 MB)
T. Nada, Kastrisios, C., Calder, B. R., Christie, E., Greene, C., and Bethell, A., An Automated Nautical Chart Generalization Model, US Hydro 2023. p. Mobile, AL, 2023.
T. Nada, Kastrisios, C., Calder, B. R., Christie, E., Greene, C., and Bethell, A., Towards Automated Nautical Chart Compilation and Verification of Output Topology and Safety, 31st International Cartographic Conference. International Cartographic Association (ICA), Cape Town, South Africa, 2023.
Engineering
Y. Rzhanov, Photo-mosaicking of images of pipe inner surface, Signal, Image and Video Processing. Springer Science+Business Media B.V., London, UK, pp. 1-7, 2011.
Environmentally Sensitive Sea Areas (ESSA)
S. Contarinis, Kastrisios, C., and Nakos, B., Marine protected areas and electronic navigational charts: legal foundation, mapping methods, IHO S‑122 portrayal, and advanced navigation services, Euro-Mediterranean Journal for Environmental Integration, vol. 8. Springer, 2023.
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.
essential ocean variable
B. Howe, Miksis-Olds, J., Rehm, E., Sagen, H., Worcester, P. F., and Haralabus, G., Observing the Oceans Acoustically, Frontiers in Marine Science, vol. 6. p. 426, 2019.PDF icon Howe et al_2019_Frontiers.pdf (6.67 MB)
estimation of errors
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