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 
geomorphological signatures
E. Weidner, Mayer, L. A., Jerram, K., Weber, T. C., Jakobsson, M., Chernykh, D., Ananiev, R., Mohammad, R., and Semiltov, I., Acoustic and Geomorphological Signatures of Gas Seeps on the East Siberian Margin, 2016 Graduate Research Conference. University of New Hampshire, Durham, NH, 2016.
Geographic Information Systems
G. Masetti, Kelley, J. G., Johnson, P., and Beaudoin, J., A Ray-Tracing Uncertainty Estimation Tool for Ocean Mapping, IEEE Access, vol. 6. IEEE, pp. 2136 - 2144, 2017.PDF icon preprint_08183436.pdf (906.82 KB)
GeoCoder
L. C. Huff, Fonseca, L., Hou, T., and McConnaughey, R., Comparison Between Physical Sediment Samples and Grain-size Estimates from GeoCoder, International Hydrographic Conference (HYDRO). Cape Town, Western Cape, South Africa, 2009.
Y. Rzhanov, Fonseca, L., and Mayer, L. A., High-resolution Delineation of Acoustically Homogeneous Areas in Multibeam Backscatter Maps, Gulf of Maine Symposium. St. Andrews, New Brunswick, Canada, 2009.
Y. Rzhanov, Fonseca, L., and Mayer, L. A., Construction of seafloor thematic maps from multibeam acoustic backscatter angular response data, Computers and Geosciences Journal. Elsevier, Cambridge, MA, USA, 2011.
Geo-referenced data
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)
generalization
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.
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.
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.
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.
GEBCO
D. Monahan, GEBCO: The Second Century. Looking Towards a General Bathymetric Chart, Hydro International, vol. 8. Geomatics Information & Trading Center - GITC, Lemmers, Amsterdam, The Netherlands, pp. 45-47, 2004.
D. Monahan, GEBCO and Deep Water: data assembler, converter, interpreter and disseminator, Hydro International, vol. 11. Geomatics Information & Trading Center - GITC, Lemmers, Amsterdam, The Netherlands, pp. 7-9, 2007.
D. Monahan, Angwenyi, C., Montoro, H., Morishita, T., Abdullahi, A., Reynoso, W., and Sharma, S., Multi-dimensional, multi-national, multi-faceted hydrographic training: the Nippon Foundation GEBCO training program at the University of New Hampshire, U.S. Hydrographic Conference (US HYDRO). San Diego, CA, USA, pp. 0-0, 2005.
D. Monahan, History and Activities of GEBCO Guiding Committee, Symposium on Application of Marine Geophysical Data and Undersea Features. Incheon, Sudogwon, Korea, pp. 4-13, 2007.
K. Marks, Smith, W. H., Weatherall, P., Eakins, B., Elmore, P. A., Masry, M., Amante, C., and Abramova, A., GEBCO Cookbook, Errors and Uncertainty in the Gridded Bathymetry, GEBCO. Durham, NH, USA, 2010.
D. Monahan, Schwehr, K., Wigley, R., Uddin, M. J., Tinmouth, N., Jinadasa, P., Ito, K., and Goncalves, D., GEBCO Visual Library, Proof of Concept, International Bathymetric Science Day. Tokyo, Tokyo, Japan, pp. 1-1, 2008.Image icon monahan_08_ISBD2.png (476.56 KB)
A. Abramova, Comparison and Evaluation of Publicly Available Global Bathymetric Grids, GEBCO. Lima, Peru, Peru, 2010.
R. M. Anderson, Jakobsson, M., Monahan, D., Hall, J. K., Montoro, H., and Mustapha, A., GEBCO: A New 1:35000000 Scale Printed Map, EOS Transactions, American Geophysical Union . San Francisco, CA, USA, pp. 0-0, 2005.
D. Monahan, Nippon Foundation/GEBCO Training Project at the University of New Hampshire 4/2004 - 8/2005, University of New Hampshire (UNH), Center for Coastal and Ocean Mapping (CCOM)/Joint Hydrographic Center (JHC), 2006.
R. Wigley, Zarayskaya, Y., Bazhenova, E., Falconer, R., and Zwolak, K., Nippon Foundation / GEBCO Ocean Mapping Training Program at the University of New Hampshire: 13 Years of Success and Alumni Activities, OCEANS 2017. IEEE, Aberdeen, UK, 2017.
K. Zwolak, Proctor, A., Zarayskaya, Y., and Wigley, R., The Shell Ocean Discovery XPRIZE Competition Impact on the Development of Ocean Mapping Possibilities, Annual of Navigation, vol. 2018(25). pp. 125-136, 2018.
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)
gap filler
C. Ware, Mayer, L. A., and Johnson, P., BathyGlobe GapFiller: A Planning Tool to Help Fill the Gaps in World Bathymetry, The International Hydrographic Review, vol. 29(2). International Hydrographic Organization, pp. 16-27, 2023.
galpagos
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.
Fusion of geospatial data
Y. Rzhanov, Pe'eri, S., and Gardner, J. V., Airborne hyperspectral co-registration independent from attitude and positioning sensors, Coastal GeoTools 2011. Myrtle Beach, SC, USA, 2011.
Functional traits
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)
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.
FOSS4G
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)
format
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)
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)
Foraging Habitats
J. Miksis-Olds, Donaghay, P. L., Miller, J. H., Tyack, P. L., and Nystuen, J. A., Noise Level Correlates with Manatee Use of Foraging Habitats, Journal of the Acoustical Society of America, vol. 121. Acoustical Society of America, San Francisco, CA, pp. 3011-3020, 2007.
Fluid dynamics
S. Chopakatla, Lippmann, T. C., and Richardson, J., Field verification of a CFD model for wave transformation and breaking in the surf zone, Journal of Waterways Port Coastal Engineering, vol. 134 (2). ASCE, pp. 71-80, 2008.PDF icon 12_chopakatla_etal_2008.pdf (893.98 KB)
flow patterns
C. Ware, Bolan, D., Miller, R., Rogers, D. H., and Ahrens, J. P., Animated Versus Static Views of Steady Flow Patterns, Proceedings of the ACM Symposium on Applied Perception. ACM, Anaheim, CA, pp. 77–84, 2016.PDF icon ware-2016-acm-sap-proceedings.pdf (1.65 MB)
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.
fliers
M. J. Wilson, Masetti, G., and Calder, B. R., Finding Fliers: New Techniques and Metrics, 2017 U.S. Hydrographic Conference. The Hydrographic Society of America, Galveston, TX, 2017.PDF icon Wilson_USHydro_2017_Finding_Fliers.pdf (1.22 MB)
FishPac LRSS Sonar
L. C. Huff, Fonseca, L., Hou, T., and McConnaughey, R., A Workable Schema for Editing Multibeam Backscatter, Shallow Water Survey Conference (SWS). Durham, NH, USA, 2008.
Fin Whale
D. V. Harris, Miksis-Olds, J., Thomas, L., and Vernon, J., Fin Whale Density and Distribution Estimation Using Acoustic Bearings Derived From Sparse Arrays, Journal of the Acoustical Society of America, vol. 143. American Institute of Physics, pp. 2980-2993, 2018.PDF icon Harris et al. 2018_JASA DE.pdf (2.51 MB)
field experiment
M. E. Wengrove, Foster, D. L., de Schipper, M. A., and Lippmann, T. C., Wave and Current Induced Ripple Formation and Migration During a Storm, Coastal Dynamics '17, vol. 129. Helsingør, Denmark, pp. 955-965, 2017.PDF icon 27_wengrove_etal_2017.pdf (960.42 KB)
feature-surface surveying
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.
Fault segmentation
M. L. Wolfson-Schwehr and Boettcher, M. S., Global Characteristics of Oceanic Transform Fault Structure and Seismicity, in Transform Plate Boundaries and Fracture Zones, J. C. Duarte, Ed. Elsevier, 2019, pp. 21-59.PDF icon Wolfson-Schwehr_Elsevier_2019.pdf (2.27 MB)
falkor
P. Johnson and Jerram, K., R/V Falkor Multibeam Echosounder System Review - September 25-30, 2015, Center for Coastal and Ocean Mapping/Joint Hydrographic Center, Durham, NH, 2015.
FAIR Principles
S. Contarinis and Kastrisios, C., Marine Spatial Data Infrastructure, in The Geographic Information Science & Technology Body of Knowledge, 2022.
Exclusive Economic Zone
C. Kastrisios and Tsoulos, L., Maritime Zones Delimitation Problems and Solutions, International Cartographic Conference (ICC), vol. 1. International Cartographic Association (ICA), Washington, DC, 2017.PDF icon Kastrisios_Tsoulos_2017_ICC_Maritime zones delimitation-Problems and solutions_ICC 2017 Proceedings.pdf (1.25 MB)
Evaluation
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)
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)
estuarine hydrodynamics
S. Cook and Lippmann, T. C., Tidal Energy Dissipation in Three Estuarine Environments, Coastal Dynamics '17, vol. 267. Helsingør, Denmark, pp. 346-355, 2017.PDF icon 28_cook_lippmann_2017.pdf (2.37 MB)
estuarine gradient; eelgrass beds; salt marsh communities
S. S. Rumrill, Concurrent Assessment of Eelgrass Beds (Zostera narina) and Salt Marsh Communities Along the Estuarine Gradient of the South Slough, Oregon, Journal of Coastal Research, vol. SI 55. pp. 121-134, 2008.
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)
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)
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 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.
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.
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.
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.
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)
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.
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)
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.
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)
Ellipsoid-Referenced Survey
B. R. Calder and Dijkstra, S. J., A Design for a Trusted Community Bathymetry System, Marine Geodesy. Taylor and Francis, 2020.
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)
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 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 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 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 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.
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)
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)
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.
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.

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