Publications

Author [ Keyword(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
kilo moana
P. Johnson, Jerram, K., and Ferrini, V. L., R/V Kilo Moana - EM122 Multibeam Echosounder Review - KM1514 - August 9-13, 2015, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, Durham, NH, 2015.
P. Johnson and Jerram, K., R/V Kilo Moana - EM122 and EM710 Multibeam Echosounder System Review - KM1505 - April 28 – 30, 2015, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, Durham, NH, 2015.
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.
Juridical bays
C. Kastrisios and Tsoulos, L., An Integrated GIS Methodology for the Determination and Delineation οf Juridical Bays, Ocean & Coastal Management, vol. 122. Elsevier, pp. 30-36, 2016.
Joint Prisoners of War;Missing in Action Accounting Command
Y. Rzhanov, Review of Methods and Software for Processing of Underwater Imagery and Construction of Mosaics, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, Durham, NH, 2012.
IOCM
S. Robinson, Ping Once Use many times: NOAA Wilmington NC 2016 Field Season, 2017 U.S. Hydrographic Conference. p. Galveston, TX, 2017.
inverse distance weighting
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.
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.
interpolation
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.
Interoperability
B. M. Sullivan, S-111 and S-126: Surface Currents and the Physical Environment a Test Case, International Hydrographic Organization, Monaco, 2017.PDF icon NIPWG 4 WP3-01 S-111 and S-126.pdf (2.14 MB)
interoferometric
V. Schmidt, Weber, T. C., and Lurton, X., Optimizing Resolution and Uncertainty in Bathymetric Sonar Systems, Conference Underwater Acoustic Measurements: Technologies and Results. Corfu, Greece, 2013.
Internet of Things
B. R. Calder, Design of a Wireless, Inexpensive Ocean of Things System for Volunteer Bathymetry, IEEE Internet of Things Journal. IEEE, 2023.
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)
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)
interaction
T. Butkiewicz, Stevens, A. H., and Ware, C., Multi-touch 3D Positioning with the Pantograph Technique, ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, vol. 13. ACM, Montreal, Quebec, Canada, 2019.PDF icon Butkiewicz-Pantograph-i3D-2019.pdf (688.01 KB)
Integrated Ocean and Coastal Mapping
G. Imahori, Ferguson, J., Wozumi, T., Scharff, D., Pe'eri, S., Parrish, C. E., White, S. A., Jeong, I., Sellars, J., and Aslaksen, M., A procedure for developing an acceptance test for airborne bathymetric lidar data application to NOAA charts in shallow waters, National Oceanic and Atmospheric Administration (NOAA), National Ocean Survey (NOS), Silver Spring, MD, 2013.
inlets
T. C. Lippmann, Irish, J. D., and Hunt, J., Observations of the Vertical Structure of Tidal Currents in Two Inlets, Journal of Coastal Research, vol. 65, Special Issue. pp. 2029-2034, 2013.PDF icon ICS2013_lippmann_revised2.pdf (4.17 MB)
Inlet Dynamics
T. C. Lippmann, Subtidal Flow Structure in Tidally Modulated Inlets, Coastal Dynamics 2013, vol. 1. ASCE, Plymouth, England, United Kingdom, 2013.PDF icon 130_lippmann_thomas.pdf (7.65 MB)
Information and communication theory
J. Miksis-Olds, Are Manatees Modifying Their Vocalizations to Compensate for Noise?, Journal of the Acoustical Society of America, 2006.
Informatics
B. M. Sullivan, Using a Cruise Report to Generate XML Metadata, IEEE/MTS Oceans. IEEE/MTS, Hampton Roads, VA, 2012.PDF icon Sullivan_2012_Oceans_UsingCruiseReport.pdf (815.41 KB)
industrial laser scanner
J. Kidd, Pe'eri, S., Eren, F., and Armstrong, A. A., Performance Evaluation of the Velodyne VLP-16 System for Feature-Surface Surveying, 2016 Canadian Hydrographic Conference. Canadian Hydrographic Association, Halifax, Nova Scotia, Canada, 2016.
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)
Indian Ocean
J. Miksis-Olds and Nichols, S. M., Is Low Frequency Ocean Sound Increasing Globally?, Journal of the Acoustical Society of America, vol. 139. Acoustical Society of America, pp. 501-511, 2016.
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.
M. H. Al-Badrawi, Bearing Stake 1977 Revisited: An understanding of Ambient Sound Sources in the Indian Ocean, Journal of the Acoustical Society of America - Express Letters, vol. 148, No. 4. pp. EL320-EL325, 2020.
Incidence angle
M. A. Malik, Lurton, X., and Mayer, L. A., A Framework to Quantify Uncertainties of Seafloor Backscatter from Swath Mapping Echosounders, Marine Geophysical Research, vol. 39(1-2). Springer, pp. 151-168, 2018.
IHO S-100 Data Model
G. Masetti, A Geo-database for Potentially Polluting Marine Sites and Associated Risk Index, University of New Hampshire, Durham, NH, 2012.PDF icon masetti-giuseppe-thesis.pdf (14.38 MB)
IHO S-100
G. Masetti, Calder, B. R., and Alexander, L., Potentially Polluting Marine Sites GeoDB: An S-100 Geospatial Database as an Effective Contribution to the Protection of the Marine Environment, International Hydrographic Review, vol. 8. International Hydrographic Bureau, Monaco, Monaco Cedex, Monaco, pp. 27-40, 2012.PDF icon PPMS_GeoDB_IHR_2012.pdf (1.41 MB)
hydrothermal activity
N. A. Raineault, Smart, C., Mayer, L. A., Ballard, R., Fisher, C. R., Marsh, L., and Shank, T. M., Signs of Recent Volcanism and Hydrothermal Activity Along the Eastern Segment of the Galapagos Spreading Center, 2016 Fall Meeting, American Geophysical Union (AGU). American Geophysical Union , San Francisco, CA, p. San Francisco, CA, 2016.
hydrography
G. Imahori, Ferguson, J., Wozumi, T., Scharff, D., Pe'eri, S., Parrish, C. E., White, S. A., Jeong, I., Sellars, J., and Aslaksen, M., A procedure for developing an acceptance test for airborne bathymetric lidar data application to NOAA charts in shallow waters, National Oceanic and Atmospheric Administration (NOAA), National Ocean Survey (NOS), Silver Spring, MD, 2013.
B. R. Calder, On Risk-Based Expression of Hydrographic Uncertainty, Marine Geodesy, vol. 38(2). Taylor & Francis, pp. 99-127, 2015.
D. Manda, Thein, M. - W., and Armstrong, A. A., Depth Adaptive Hydrographic Survey Behavior for Autonomous Surface Vessels, IEEE/MTS Oceans '15. IEEE, National Harbor, MD, 2015.PDF icon IEEEOceans_2015_Abstract_Manda.pdf (386.24 KB)
D. Manda, Thein, M. - W., D'Amore, A., and Armstrong, A. A., A Low Cost System for Autonomous Surface Vehicle based Hydrographic Survey, U.S. Hydrographic Conference 2015. 2015.PDF icon USHydro_2015_Manda_Final.pdf (1.26 MB)
B. R. Calder, Resolution Determination through Level of Aggregation Analysis, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, Biloxi, MS, 2019.PDF icon Calder_USHydro19_LevelOfAggregationAnalysis.pdf (815.13 KB)
S. Hoy and Calder, B. R., The Viability of Crowdsourced Bathymetry for Authoritative Use, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, Biloxi, MS, 2019.
J. M. Cordero Ros and Kastrisios, C., Characterizing Free and Open-Source Tools for Ocean-Mapping, 6th Hydrographic Engineering Conference. Lisbon, Portugal, pp. 53-56, 2020.PDF icon Cordero_Kastrisios_2020_FOSS4G_Procceedings.pdf (2.06 MB)
J. M. Cordero Ros and Kastrisios, C., EMODNET Bathymetry Services and Free and Open-Source Software in Support of Hydrographic Survey Procedures, EMODnet Open Conference. p. Online, 2021.
J. M. Cordero Ros and Kastrisios, C., Using Free and Open-Source Software in Ocean Mapping: Case Study of the Spanish EEZ project near the Canary Islands, 2021 US Hydro Conference. p. Online, 2021.
N. Dyer, Kastrisios, C., and De Floriani, L., Sounding Labels and Scale for Bathymetric Data Generalization in Nautical Cartography, 2021 US Hydro Conference. p. Online, 2021.
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.
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.
N. Dyer, Kastrisios, C., and De Floriani, L., Label-Based Generalization of Bathymetry Data for Hydrographic Sounding Selection, Cartography and Geographic Information Science, vol. 49(4). Taylor & Francis, 2022.
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.
hydrographic workflow
C. Kastrisios and Calder, B. R., Industry Discovery for Ocean Mapping Workflow Associated Challenges, 2021 US Hydro Conference. p. Online, 2021.
Hydrographic Uncertainty
B. R. Calder, Use (and Potential Abuse) of Uncertainty in Hydrography, 6th International Conference on High-Resolution Survey in Shallow Water. Wellington, New Zealand, 2012.
HYDROGRAPHIC SURVEY;SEAFLOOR SAMPLES;ACOUSTIC CONCEPTS;SEDIMENT GRAIN
J. A. Alvarado, Acoustic Backscatter Processing for the Navy of Ecuador. 2012.
hydrographic survey
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)
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.
Hydrographic Data Processing
B. Lamey, Riley, J., Froelich, G., Miller, J., and Calder, B. R., Variable Resolution Bathymetric-Gridding Technology for Nautical Charting: Case Study CHRT Data, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, New Orleans, LA, USA, 2013.
hydroffice
G. Masetti, HydrOffice: Past, Present, and Future, NOAA OCS Field Procedures Workshop. p. Portland, OR, 2018.
G. Masetti, Wilson, M. J., Calder, B. R., Gallagher, B., and Zhang, C., Research-driven Tools for Ocean Mappers, Hydro International, vol. 22, 1. GeoMares Publishing, pp. 29-33, 2018.PDF icon hydro-international-2018-1-2-research-driven-tools-for-ocean-mappers.pdf (1.05 MB)
D. Manda and Masetti, G., Pydro & HydrOffice: Open Tools for Ocean Mappers, U.S. Hydro 2019. p. Biloxi, MS, 2019.
G. Masetti, Faulkes, T., and Kastrisios, C., Hydrographic Survey Validation and Chart Adequacy Assessment Using Automated Solutions, U.S. Hydro 2019. Biloxi, MS, USA, 2019.PDF icon USHydro2019_Masetti_et_al_Hydrographic_Survey_Validation_and_Chart_Adequacy_Assessment.pdf (882.67 KB)
G. Masetti and Faulkes, T., Pydro and HydrOffice, Effective Seabed Mapping Workflow. Canberra, ACT, Australia, 2019.
G. Masetti, Faulkes, T., and Calder, B. R., Opening the Black Boxes in Ocean Mapping: Design and Implementation of the HydrOffice Framework, AMSA 2019. p. Freemantle, WA, Australia, 2019.
J. M. Cordero Ros and Kastrisios, C., Characterizing Free and Open-Source Tools for Ocean-Mapping, 6th Hydrographic Engineering Conference. Lisbon, Portugal, pp. 53-56, 2020.PDF icon Cordero_Kastrisios_2020_FOSS4G_Procceedings.pdf (2.06 MB)
T. Faulkes, Wilson, M. J., Masetti, G., Cziraki, E., Wozumi, T., and Zhang, C., From Vision to Reality: Implementing NOAA's Re-envisioned Hydrographic Survey Specifications, Canadian Hydrographic Conference. St. John's, Newfoundland, Canada, 2024.
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.
Human-Made Model
J. Miksis-Olds, Tyack, P. L., and Buck, J. R., Captive Dolphins, Tursiops truncatus, Develop Signature Whistles That Match Acoustic Features of Human-Made Model Sounds, Journal of the Acoustical Society of America, vol. 112 (2). Acoustical Society of America, San Francisco, CA, pp. 728-739, 2002.
huddler
B. R. Calder and Masetti, G., Huddler: a multi-language compiler for automatically generated format-specific data drivers, U.S. Hydrographic Conference (US HYDRO) 2015. Gaylord Hotel, National Harbor, Maryland, USA, 2015.PDF icon Calder_Masetti_Huddler_a_multi-language_compiler_for_automatically_generated_format-specific_data_drivers.pdf (197.28 KB)
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)
huddl
B. R. Calder and Masetti, G., Huddler: a multi-language compiler for automatically generated format-specific data drivers, U.S. Hydrographic Conference (US HYDRO) 2015. Gaylord Hotel, National Harbor, Maryland, USA, 2015.PDF icon Calder_Masetti_Huddler_a_multi-language_compiler_for_automatically_generated_format-specific_data_drivers.pdf (197.28 KB)
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)
Healy
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.
HCI
T. Butkiewicz, Stevens, A. H., and Ware, C., Multi-touch 3D Positioning with the Pantograph Technique, ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, vol. 13. ACM, Montreal, Quebec, Canada, 2019.PDF icon Butkiewicz-Pantograph-i3D-2019.pdf (688.01 KB)
haptics
R. Komerska, Ware, C., Plumlee, M. D., and Arsenault, R., Haptic-GeoZui3D: Exploring the Use of Haptics in AUV Path Planning, Unmanned Untethered Submersible Technology Symposium (UUST). Autonomous Undersea Systems Institute , Durham, NH, 2003.Image icon Komerska_2003_UUST_Haptic-GeoZui3D-AUV_path_planning.jpg (722.73 KB)
habitats
B. O'Brien, Mello, K., Litterer, A., and Dijkstra, J. A., Fish and the Decline of Kelp in the Gulf of Maine, Benthic Ecology Meeting. p. Corpus Cristi, TX, 2018.
habitat suitability model
R. Gasborro, Sowers, D., Margolin, A., and Cordes, E., Distribution and Predicted Climatic Refugia for a Reef-Building Cold-Water Coral on the Southeast US Margin, Global Change Biology, vol. 28(23). John Wiley and Sons Ltd. , Online, pp. 7108-7125, 2022.PDF icon Global_Change_Biology_Final_Published_Gasborr_et_al.pdf (9.14 MB)
Habitat structure
B. O'Brien, Mello, K., Litterer, A., and Dijkstra, J. A., Seaweed Structure Shapes Trophic Interactions: A Case Study Using a Mid-Trophic Level Fish Species, Journal of Experimental Marine Biology and Ecology, vol. 506. Elsevier, pp. 1-8, 2018.PDF icon O'Brienetal_JEMBE.pdf (868.99 KB)
gulf of alaska
J. L. Pirtle, Weber, T. C., Wilson, C. D., and Rooper, C. N., Assessment of Trawlable and Untrawlable Seafloor Using Multibeam-Derived Metrics, Methods in Oceanography, vol. 12. Elsevier, pp. 18–35, 2015.PDF icon pirtle-weber-methods-oceanography-05-2015.pdf (1.34 MB)
L. A. Mayer and Gardner, J. V., Cascades and Plunge Pools in the Gulf of Alaska, in Atlas of Submarine Glacial Landforms: Modern, Quaternary and Ancient, vol. Memoirs, London, UK: Geological Society of London , 2016, pp. 389-390.
J. E. Miller, Munene, T., Gardner, J. V., and Armstrong, A. A., U.S. Extended Continental Shelf Cruise to Map Gulf of Alaska, Eastern Pacific, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, Durham, NH, 2018.PDF icon KM1811-Cruise-Report.pdf (3.46 MB)
Guanabara Bay
C. Borba, Integration of Tide/Water Level Information into ECDIS for Guanabara Bay, University of New Hampshire, Durham, NH, 2015.
Ground-Truth Studies
S. Pe'eri, Ackerman, S., Guilford, J., Gardner, J. V., and Morris, A., Ground truth operation for seafloor characterization, Coastal Geotools 2011. Myrtle Beach, SC, USA, 2011.
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)
Great Bay
S. J. Dijkstra, Seafloor Characterization Using Vertical Incidence Echosounders: A Study in Portsmouth Harbor and the Great Bay Estuary, New Hampshire, International Conference on High-Resolution Survey in Shallow Water (HRSSW). Portsmouth, NH, USA, pp. 0-0, 2001.
M. Jakobsson, Armstrong, A. A., Calder, B. R., and Mayer, L. A., Comparing Historical and Contemporary Hydrographic Data Sets: An Example from Great Bay, New Hampshire, International Conference on High-Resolution Survey in Shallow Water (HRSSW). Portsmouth, NH, USA, pp. 0-0, 2001.
Y. Rzhanov, Cutter Jr., R. G., and Huff, L. C., Sensor-Assisted Video Mosaicing for Seafloor Mapping, International Conference on Image Processing (ICIP). St. Andrews, New Brunswick, Canada, pp. 0-4, 2001.
J. R. Adams, Dijkstra, S. J., Grizzle, R. E., Nelson, J., and Ward, L. G., Comparison of Acoustic Techniques, Videography, and Quadrant Sampling for Characterizing Subtidal Oyster Reefs, National Shellfisheries Association (NSA). Mystic, CT, USA, 2001.
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)
S. Denney, A Tidal Study of Great Bay, New Hampshire, University of New Hampshire, Durham, NH, 2012.PDF icon denney-sean-thesis.pdf (11.58 MB)
Gravel
L. G. Ward, McAvoy, Z. S., and Vallee-Anziani, M., New Hampshire and Vicinity Continental Shelf: Sand and Gravel Resources, Bureau of Ocean Energy Management (BOEM) Marine Minerals Branch, Herndon, VA, 2016.
Graphical Methods of Delimitation
C. Kastrisios, Graphical Methods of Maritime Outer Limits Delimitation, Nausivios Chora, vol. 4. Hellenic Naval Academy, Piraeus, Greece, pp. E3 - E22, 2015.
Google Maps
B. M. Sullivan, ChUM: Chart Update Mashup, IEEE Oceans. IEEE/MTS, Hampton Roads, VA, 2012.PDF icon Sullivan-2012-Oceans-ChUM.pdf (1.24 MB)
GML
G. Masetti, Calder, B. R., and Alexander, L., Potentially Polluting Marine Sites GeoDB: An S-100 Geospatial Database as an Effective Contribution to the Protection of the Marine Environment, International Hydrographic Review, vol. 8. International Hydrographic Bureau, Monaco, Monaco Cedex, Monaco, pp. 27-40, 2012.PDF icon PPMS_GeoDB_IHR_2012.pdf (1.41 MB)
V. Zetterland and Sullivan, B. M., Marine Managed Area Mapping Experiments in Machine S-122 Data Generation, International Hydrographic Organization, Monaco, 2017.
Global Trends
J. Miksis-Olds, Global Trends in Ocean Noise, in Effects of Noise on Aquatic Life II, vol. 2, A. N. Popper and Hawkins, A., Eds. New York, NY: Springer Science & Business Media, LLC, 2016, pp. 713-718.
global bathymetry; Seabed 2030; Nippon Foundation/GEBCO; seafloor mapping technologies; seafloor mapping standards and protocols
L. A. Mayer, Jakobsson, M., Allen, G., Dorschel, B., Falconer, R., Ferrini, V. L., Lamarche, G., Snaith, H., and Weatherall, P., The Nippon Foundation-GEBCO Seabed 2030 Project: The Quest to See the World's Oceans Completely Mapped by 2030, Geosciences, vol. 8 (2). 2018.
GIS Database; Risk Index for Potentially Polluting Marine Sites; GML; PPMS; MaSiRI; shipwreck; IHO S-100
G. Masetti, Calder, B. R., and Alexander, L., Developing a GIS-Database and Risk Index for Potentially Polluting Marine Sites, 2012 Canadian Hydrographic Conference. Niagara Falls, Ontario, Canada, 2012.PDF icon Masetti-et-al_Developing a GIS-Database and Risk Index for PPMSs_2012.pdf (808.98 KB)

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