Author Keyword [ Title(Asc)] 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 
J. V. Gardner and Mayer, L. A., Chatham Fan and Adjacent Upper Baranof Fan Channels and Levee, U.S. Gulf of Alaska Margin, in Atlas of Submarine Glacial Landforms: Modern, Quaternary and Ancient, vol. Memoirs, London, UK: Geological Society of London , 2016, p. 387.
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.
L. Gur Arie, Kamaruddin, Y., Kimeli, A., Klemm, A., Kurita, H., Pe'eri, S., Prasetyawan, I. B., Roh, J. - Y., Roperez, J., Samarakoon, N., Sydenham, J., Vallee-Anziani, M., and Wigley, R., Chart Adequacy: Workshop and GEBCO Training, GEBCO Science Day. Kuala Lampur, Malaysia, 2015.
A. Klemm, Pe'eri, S., Sartor, C., Nyberg, J., and Barber, J. E., Chart Adequacy Procedure Using Publicly-Available Information, 2016 Canadian Hydrographic Conference. Canadian Hydrographic Association, Halifax, Nova Scotia, Canada, 2016.
A. Klemm, Pe'eri, S., and Nyberg, J., Chart Adequacy Procedure Using Publically-Available Information, GEBCO Science Day. Kuala Lampur, Malaysia, 2015.
L. P. Snyder, Nyberg, J., Smith, S. M., Pe'eri, S., Madore, B., Rogers, J., Lowell, J., and DeAngelis, R., Chart Adequacy Evaluation of the Coastal Water of Haiti Using Satellite-Derived Bathymetry, National Oceanic and Atmospheric Administration (NOAA), National Ocean Survey (NOS), Silver Spring, MD, 2016.PDF icon TM_NOS_CS35_FY16_Snyder_ChartAdequacyEval.pdf (19.13 MB)
L. Hatch, Clark, C., Merrick, R., Van Parijs, S., Ponirakis, D., Schwehr, K., Thompson, M. A., and Wiley, D. N., Characterizing the Relative Contributions of Large Vessels to Total Ocean Noise Fields: A Case Study Using the Gerry E. Studds Stellwagen Bank National Marine Sanctuary, Environmental Management, vol. 42. Springer Publisher, New York, NY, USA, pp. 735-752, 2008.PDF icon Hatch_08_EM_Characterizing_contributions_of_vessels_to_ocean_noise_Stellwagen.pdf (715.69 KB)
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)
L. Pillsbury, Characterizing and Quantifying Marine Methane Gas Seeps Using Acoustic Observations and Bubble Dissolution Models, University of New Hampshire, Durham, NH, 2015.PDF icon pillsbury-liam-thesis.pdf (2.57 MB)
G. McGillicuddy, Characterization of Weak Rope Through the Design and Construction of a Portable Tensile Testing Machine, 2005.PDF icon Mcgillicuddy_2005_MS-Thesis_Characterization_of_Weak_Rope.pdf (7.43 MB)
O. Fadahunsi, Pe'eri, S., and Armstrong, A. A., Characterization of the Nigerian Shoreline using Publicly-Available Satellite Imagery, Hydro International, vol. 18(1). pp. 22-25, 2014.PDF icon Fadahunsi_et_al_2014_Hydro_Int.pdf (769.56 KB)
F. Eren, Pe'eri, S., and Thein, M. - W., Characterization of optical communication in a leader-follower unmanned underwater vehicle formation, SPIE Defense, Security and Sensing (Ocean remote sensing and monitoring V ), vol. 8724. SPIE, Baltimore, MD, USA, 2013.PDF icon SPIE 2013_Eren_Peeri_Thein_final.pdf (658.27 KB)
D. J. Pate, Cook, D. A., Lyons, A. P., and Hansen, R. E., Characterization of Internal Waves in Synthetic Aperture Sonar Imagery Via Ray Tracing, 175th Meeting of the Acoustical Society of America. p. Minneapolis, MN, 2018.
A. Tripathy, Miller, J. H., Potty, G. R., Amaral, J., Vigness-Raposa, K. J., Frankel, A. S., and Lin, Y. - T., Characteristics of the soundscape before and after the construction of the Block Island Wind Farm, The Journal of Acoustic Society of America, vol. 144(3). Acoustical Society of America, pp. 1856–1856, 2018.
M. S. Boettcher, Wolfson-Schwehr, M. L., Forestall, M., and Jordan, T., Characteristics of Oceanic Strike-Slip Earthquakes Differ Between Plate Boundary and Intraplate Settings, 2012 Fall Meeting, American Geophysical Union (AGU). 2012.
M. A. Malik, Mayer, L. A., Weber, T. C., Calder, B. R., and Huff, L. C., Challenges of defining uncertainty in multibeam sonar derived seafloor backscatter, International Underwater Acoustic Conference and Exhibition. Corfu, Greece, 2013.
G. Seroka, Nagel, E., Greenlaw, J., Kelley, J. G., Weston, N., Myers, E., Pe'eri, S., and Powell, J., Challenges in Generating S-104/HDF5 Files of Water Level Forecast Guidance from NOAA/NOS’s Operational Ocean Forecast Systems (OFS), 101th AMS Annual Meeting. 2021.
T. C. Weber, A CFAR Detection Approach for Identifying Gas Bubble Seeps With Multibeam Echo Sounders, IEEE Journal of Oceanic Engineering. pp. 1-10, 2021.
A. Berry, Cezairle, Y., Chowdhury, M., Englert, C., Gunasinghage , P., Guo, X., Hassan, N., Masetti, G., Minami, H., Nguyen, T., Thein, S., Welton, B., Wilson, M. J., Armstrong, A. A., Dijkstra, S. J., Smith, B., and Terry, E., CCOM-JHC Summer Hydro 2012: A High-Res Survey Under 12 Flags, Eighth Annual GEBCO Bathymetric Science Day. Venice, Italy, 2013.PDF icon ccom_poster_gebco_2013.pdf (730.59 KB)
P. D. Colarusso, Carman, M. R., Nelson, E. P., Chintala, M. M., Grunden, D. W., Wong, M. C., McKenzie, C., Matheson, K., Davidson, J., Heinig, C., Fox, S., Neckles, H., Schott, S., Pickerell, C., and Dijkstra, J. A., Casual observations, random musings and wild extrapolations based on some actual data on the impact of invasive tunicates to eelgrass, New England Estuarine Research Society. Salem, MA, 2014.
T. Beduhn, A Case Study of Robust Bottom Detection and Eelgrass Mapping in Great Bay, New Hampshire. 2011.
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.
G. Masetti, Carte nautiche elettroniche dell'I.I.M. e cartografia tecnica regionale: studio di fattibilita per una necessaria integrazione, Atti 13a Conferenza Nazionale ASITA. Bari, Bari, Italy, pp. 1387-1392, 2009.PDF icon Masetti_Carte_nautiche_elettroniche.pdf (790.43 KB)
G. Masetti, Sacile, R., and Trucco, A., Caratterizzazione remota del fondale marinotramite analisi e mosaicatura del backscatter, Atti 14a Conferenza ASITA. Brescia, Brescia, Italy, pp. 1275-1280, 2010.PDF icon Masetti_2010_backscatter_295.pdf (611.46 KB)
M. Grassi, Carmisciano, C., Cocchi, L., Dialti, L., Filippone, M., Guideri, M., Ivaldi, R., Masetti, G., Muccini, F., Pratellesi, M., Ricci, E., and Stefanelli, P., Caratterizzazione dell’ambiente marino dei Campi Flegrei. Risultati preliminari della campagna oceanografica RICAMAR 2013, 17a Conferenza Nazionale ASITA. Atti 17a Conferenza Nazionale ASITA, Riva del Garda, Italy, 2013.PDF icon Masetti_2013_RICAMAR_ASITA13.pdf (895.86 KB)
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.
J. M. Jech, Boswell, K., Barao, T., Condiotty, J., Melvin, G., Taylor, J., Wakefield, W., and Weber, T. C., Calibration of two orthogonal dual-frequency identifications onars (DIDSONS), 11th European Conference on Underwater Acoustics, Edinburgh, Scotland. 2012.
C. Lanzoni and Weber, T. C., Calibration of multibeam echo sounders: a comparison between two methodologies, 11th European Conference on Underwater Acoustics, Edinburgh, Scotland. 2012.
I. Guimaraes and Hughes Clarke, J. E., Calibrating broadband multibeam seabed backscatter, Canadian Hydrographic Conference. p. Quebec City, 2020.PDF icon Guimaraes_CHC2020_abstract_202-TKqb-2110.pdf (190.28 KB)
T. M. O'Brien, Brumley, K., Miller, E. L., and Mayer, L. A., The Caledonian suture in the high Arctic? New Data from the Chukchi Borderland, Amerasia Basin, 2013 Fall Meeting, American Geophysical Union (AGU). San Francisco, CA, 2013.
Z. Saeed, Weidner, E., Johnson, B. A., and Mandel, T. L., Buoyancy-Modified Entrainment in Plumes: Theoretical Predictions, Physics of Fluids, vol. 34(1). 2022.
M. Di Stefano, Building an Open Source Toolkit for Integrating Multiple Datasets for Seafloor Characterization and Habitat Mapping, University of New Hampshire, Durham, NH, 2023.
S. Pe'eri, Guilford, J., Lundgren, I., and Battista, T., Buck Island, St. Croix - Seafloor characterization using optic remote sensing, 12th Annual JALBTCX Airborne Coastal Mapping & Charting Technical Workshop. Baltimore, MD, USA, 2011.
A. McGarr, Boettcher, M. S., Fletcher, J. B., Sell, R., Johnston, M. J., Durrheim, R., Spottiswoode, S., and Milev, A., Broadband Records of Earthquakes in Deep Gold Mines and a Comparison with Results from SAFOD, California, Bulletin of the Seismological Society of America, vol. 99. Seismological Society of America, pp. 2815-2824, 2009.PDF icon McGarr_2009_BSSA_Broadband_records_of_earthquakes_in_gold_mines.pdf (372.8 KB)
E. Weidner, Stranne, C., and Sundberg, J. Henati, A Broadband Acoustic Study of the Spatiotemporal Variability of the Baltic Sea Anoxic Zone, 2020 Ocean Sciences Meeting. p. San Diego, CA, 2020.
S. Loranger, Pedersen, G., and Weber, T. C., Broadband Acoustic Scattering from Oblate Hydrocarbon Droplets, The Journal of the Acoustical Society of America, vol. 146(2). Acoustical Society of America, pp. 1176-1188, 2019.
E. Weidner, Jerram, K., and Weber, T. C., Broadband Acoustic Observations of Individual Naturally Occurring Hydrate-Coated Bubbles in the Gulf of Mexico, 176th Meeting Acoustical Society of America. p. Victoria, BC, 2018.
K. M. Rychert, Broadband Acoustic Measurements of a Controlled Seep with Multiple Gases for Verification of Flux Estimates Through Bubble Dissolution and Target Strength Models, University of New Hampshire, Durham, NH, 2018.PDF icon rychert-ms-2018.pdf (2.85 MB)
C. Ware, Wiley, D. N., Friedlaender, A. S., Weinrich, M. T., Abernathy, K., Hazen, E., Bocconcelli, A., Stimpert, A. K., and Thompson, M. A., Bottom-Roll Feeding by Humpback Whales (Megaptera Novaeangliae) in the Southern Gulf of Maine, Marine Mammal Science, vol. 30, Issue 2. pp. 495-511, 2014.
F. Eren, Pe'eri, S., Rzhanov, Y., and Ward, L. G., Bottom Characterization by Using Airborne Lidar Bathymetry (ALB) Waveform Features Obtained from Bottom Return Residual Analysis, Remote Sensing of Environment, vol. 206. Elsevier, pp. 260-274, 2018.
C. Nellemann, Corcoran, E., Duarte, C. M., Valdes, L., DeYoung, C., Fonseca, L., and Grimsditch, G., Blue Carbon: The role of healthy oceans in binding carbon, 2010.PDF icon Nellemann_2010_BlueCarbon_book.pdf (17.54 MB)
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)
S. Pe'eri, Azuike, C., Alexander, L., Parrish, C. E., and Armstrong, A. A., Beyond the Chart: The use of Satellite Remote Sensing for Assessing the Adequacy and Completeness Information, 2012 Canadian Hydrographic Conference. Niagara Falls, Ontario, Canada, 2012.
C. E. Parrish and Dijkstra, J. A., Benthic Habitat Mapping in Barnegat Bay with Topographic-Bathymetric Lidar Waveform Features, European LiDAR Mapping Forum. Amsterdam, North Holland, The Netherlands, 2014.
J. W. Good, Benefits of Geographic Information Systems for State and Regional Ocean Management, Oregon State University , Corvallis, OR, USA, 1999.
M. Morlighem, Williams, C. N., Rignot, E., An, J., Arndt, J. E., Bamber, J. L., Catania, G., Chauche, N., Dowdeswell, J., Dorschel, B., Fenty, I., Hogan, K., Howat, I., Hubbard, A., Jakobsson, M., Jordan, T., Kjeldsen, K. K., Millan, R., Mayer, L. A., Mouginot, J., Noel, B. P. Y., O'Cofaigh, C., Palmer, S., Rysgaard, S., Seroussi, H., Siegert, M., Slabon, P., Straneo, F., van den Broeke, M. R., Weinrebe, W., Wood, M., and Zinglersen, K. B., BedMachine v3: Complete Bed Topography and Ocean Bathymetry Mapping of Greenland From Multibeam Echo Sounding Combined With Mass Conservation, Geophysical Research Letters, vol. 44. John Wiley and Sons, Inc., p. 11, 2017.
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.
G. Masetti and Calder, B. R., A Bayesian marine debris detector using existing hydrographic data products, IEEE Oceans. IEEE, Genoa, Italy, 2015.PDF icon Masetti_Calder_Oceans15_Abstract.pdf (294.89 KB)
G. Masetti, Mayer, L. A., and Ward, L. G., A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation, Geosciences, vol. 8 (1). MDPI Publishing, Basel, Switzerland, p. 14, 2018.PDF icon geosciences-08-00014.pdf (7.16 MB)
G. Bjork, Jakobsson, M., Assmann, K., Andersson, L., Nilsson, J., Stranne, C., and Mayer, L. A., Bathymetry and Oceanic Flow Structure at Two Deep Passages Crossing the Lomonosov Ridge, Ocean Science, vol. 14. Copernicus Publications, pp. 1-13, 2018.
D. Monahan, Bathymetry, in Encyclopedia of Ocean Sciences, 3rdrd ed., K. J. Cochran, Bokuniewicz, H., and Yager, P., Eds. Elsevier, 2019, pp. 45-52.
M. S. Moser, Bathymetric Uncertainty Model for the L-3 Klein 5410 Sidescan Sonar, 2009.PDF icon Moser_2009_MS-Thesis_Bathymetric_Uncertainty_Model_for_the_L-3_Klein_5410.pdf (2.93 MB)
B. D. Andrews, Chaytor, J. D., Brink, U. Sten, Brothers, D. S., Gardner, J. V., Lobecker, E., and Calder, B. R., Bathymetric Terrain Model of the Atlantic Margin for Marine Geological Investigations, Version 2.0, U.S. Geological Survey (USGS), Woods Hole, MA, 2016.PDF icon ofr2012-1266_V2_Clean_23Feb16.pdf (1.21 MB)
B. D. Andrews, Bathymetric terrain model of the Atlantic margin for marine geological investigations., 2013.PDF icon USGS OFR 2012-1266.pdf (316.55 KB)
M. Jakobsson, Stranne, C., O'Regan, M., Greenwood, S., Gustafsson, B., Humborg, C., and Weidner, E., Bathymetric Properties of the Baltic Sea, Ocean Sciences, vol. 15(4). pp. 905-924, 2019.
C. Kastrisios, Bathymetric Data Quality and Autonomous Navigation Related Research Projects, International Hydrographic Organization, Online, 2021.
G. Masetti, Mayer, L. A., Ward, L. G., and Sowers, D., Bathymetric and Reflectivity-derived Data Fusion for Preliminary Seafloor Segmentation and Strategic Bottom Sampling, GeoHab 2018. p. Santa Barbara, CA, 2018.PDF icon Masetti_et_al_GeoHab_2018_Bathymetric_and_Reflectivity_derived_Data_Fusion.pdf (112.08 KB)
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.
D. M. Burdicki, Moore, G., Grizzle, R. E., Ward, K., Mathieson, A., and Pe'eri, S., Baseline Survey of Habitats and Resources of the North Mill Pond, New Hampshire Department of Environmental Services (DES), New Hampshire Coastal Program (NHCP), 2009.
S. B. Mukasa, Andronikov, A., Brumley, K., Mayer, L. A., and Armstrong, A. A., Basalts from the Chukchi Borderland: 40Ar/39Ar Ages and Geochemistry of Submarine Intraplate Lavas Dredged from the Western Arctic Ocean, Journal of Geophysical Research: Solid Earth, vol. 125. American Geophysical Union, 2020.
B. R. Calder, BAG 2.0: Continuing Development of an Open, Grid-based Data Transfer Format, Canadian Hydrographic Conference. Canadian Hydrographic Association, Quebec City, Quebec, Canada, 2020.
L. Fonseca, Mayer, L. A., Kraft, B. J., Brandsdottir, B., and Richter, B., AVO Analysis of Multibeam Backscatter, an Example from Little Bay, NH and Skjalfandi Bay, Iceland, EOS Transactions, American Geophysical Union . San Francisco, CA, USA, pp. 0-0, 2004.Image icon Fonseca_2004_AVO_Analysis_of_backscatter_little_bay_Skjalfandi_bay.jpg (1.16 MB)
C. Ware, Averaged Propulsive Body Acceleration (APBA) Can Be Calculated from Biologging Tags That Incorporate Gyroscopes and Accelerometers to Estimate Swimming Speed, Hydrodynamic Drag and Energy Expenditure for Steller Sea Lions, PLOS ONE. PLOS, San Francisco, CA, 2016.
S. Byrne, Schmidt, V., Hegrenaes, O., and Brodet, S., AUV-Acquired Bathymetry, Methods: Scrutinizing AUV Mission Planning, Operations and Data Processing, Sea Technology, vol. 11. pp. 17-22, 2015.
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)
J. Pierce, Automating the Boring Stuff: A Deep Learning and Computer Vision Workflow for Coral Reef Habitat Mapping, University of New Hampshire, Durham, NH, 2020.
B. R. Calder, Automatic Processing of Bathymetric Data from Multibeam Echosounders, 2001 Fall Meeting, American Geophysical Union. American Geophysical Union , San Francisco, CA, 2001.Image icon Calder_2001_AGU_Automatic_processing_of_bathymetric_data.jpg (531.95 KB)
M. Di Stefano and Mayer, L. A., An Automatic Procedure for the Quantitative Characterization of Submarine Bedforms, Geosciences, vol. 8(1). MDPI, p. 28, 2018.
M. Quinn, Automatic Illustration of Ocean Currents, 2005.PDF icon Quinn_2005_MS-Thesis_Automatic_Illustration_of_Ocean_Currents.pdf (5.52 MB)
K. Zwolak, Marchel, L., Bohan, A., Sumiyoshi, M., Roperez, J., Grządziel, A., Wigley, R., and Seeboruth, S., Automatic Identification of Internal Wave Characteristics Affecting Bathymetric Measurement Based on Multibeam Echosounder Water Column Data Analysis, Energies, vol. 14(16). MDPI, 2021.
B. R. Calder, Fonseca, L., and Francolin, J. B., Automatic Estimation of the Seafloor Geomorphology of the Santos Basin, Brazil, EOS Transactions, American Geophysical Union , vol. 83. San Francisco, CA, USA, pp. 0-0, 2002.Image icon Calder_2002_AGU_Automatic_estimation_seafloor_geomorphology.jpg (971.4 KB)
L. Fonseca, Rzhanov, Y., McGonigle, C., and Brown, C., Automatic Construction of Acoustic Themes for Benthic Habitat Mapping at Stanton Banks, UK, GeoHab. Trondheim, Trondheim, Norway, 2009.
M. J. Wilson, Masetti, G., and Calder, B. R., Automated Tools to Improve the Ping-to-Chart Workflow, International Hydrographic Review, vol. 17. International Hydrographic Bureau, Monaco, pp. 21-30, 2017.PDF icon IHR_May2017_QCTools.pdf (801.62 KB)
R. G. Cutter Jr., Rzhanov, Y., and Mayer, L. A., Automated Texture-based Segmentation of Multibeam Sonar Bathymetry Data for Benthic Habitat Mapping in the Piscataqua River, New Hampshire. 2002.Image icon Cutter_2002_BD_Automated_texture-based_seg_of_multibeam_sonar_for_benthic_habitat_mapping.jpg (825.58 KB)
V. Schmidt, Weber, T. C., and Trembanis, A., Automated Optimal Processing of Phase Differencing Side-scan Sonar Data using the Most Probable Angle Algorithm, IEEE OCEANS 2012. IEEE, Hampton Roads, VA, 2012.PDF icon PID2487337.pdf (381.85 KB)
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.
K. Lowell, Automated Machine Learning-based Extraction of Shallow Water Bathymetry from LiDAR Point Clouds: Developing an Operational Workflow Via Accuracy Analysis, U.S. Hydro 2023. p. Mobile, AL, 2023.PDF icon Lowell_etal_USHydro_2023.pdf (599.77 KB)
G. Masetti, Faulkes, T., and Kastrisios, C., Automated Identification of Discrepancies Between Nautical Charts and Survey Soundings, ISPRS International Journal of Geo-Information, vol. 7. MDPI Publishing, Basel, Switzerland, p. 392, 2018.
J. Hare and Hay, A. E., Attenuation and Group Speed in Water-saturated Granular Materials at MHz Frequencies, Journal of the Acoustical Society of America, vol. 143. 2018.
J. Miksis-Olds, Ainslie, M. A., Martin, S. B., Warren, J., Heaney, K., and Lyons, A. P., Atlantic Deep-water Ecosystem Observatory Network (ADEON): An Integrated System, OCEANOISE2017. p. Barcelona, Spain, 2017.
C. Monfort and Lippmann, T. C., Assimilation of airborne imagery with a wave model for bathymetric estimation., Journal of Coastal Research, Special Issue: Applied LIDAR Techniques, vol. 62. Coastal Education & Research Foundation, Inc. [CERF], West Palm Beach, FL, USA, pp. 40-49, 2011.PDF icon 15_monfort_lippmann_2011.pdf (452.91 KB)
C. E. Parrish, Rogers, J., and Calder, B. R., Assessment of Waveform Shape Features for Lidar Uncertainty Modeling in a Coastal Salt Marsh Environment, Geoscience and Remote Sensing Letters, vol. Vol. 11, No. 2. IEEE, pp. 569 - 573, 2014.
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)
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.
L. G. Ward, Assessing the Stability of New Hampshire Beaches: Research Involving the University of New Hampshire, New Hampshire State Agencies, and Citizen Scientists, The Beaches Conferences 2019: Our Maine and New Hampshire Beaches and Coast. p. Kittery, ME, 2019.
S. L. Denes, Miksis-Olds, J., Mellinger, D. K., and Nystuen, J. A., Assessing the Cross Platform Performance of Marine Mammal Indicators Between Two Collocated Acoustic Recorders, Ecological Informatics, vol. 21. Elsevier, pp. 74-80, 2014.
D. T. Jones, Weber, T. C., Rooper, C., Butler, J. L., Wilson, C. D., and De Robertis, A., Assessing rockfish abundance in complex habitats using acoustics and cameras, 161st meeting of the Acoustical Society of America. Seattle, WA, USA, 2011.
S. Parks, Miksis-Olds, J., and Denes, S. L., Assessing Marine Ecosystem Acoustic Diversity Across Ocean Basins, Ecological Informatics, vol. 21. European Association for Aquatic Mammals, pp. 81-88, 2014.
K. Lowell and Calder, B. R., Assessing Marginal Shallow-Water Bathymetric Information Content of Lidar Sounding Attribute Data and Derived Seafloor Geomorphometry, Remote Sensing, vol. 13(9), 1604. MDPI, 2021.PDF icon lowell-calder-2021-remotesensing-13-01604.pdf (3.71 MB)
M. L. Schroth-Miller and Weber, T. C., Assessing juvenile Atlantic bluefin tuna schools in the Northwest Atlantic using sonar data and aerial imagery, 161st meeting of the Acoustical Society of America. Seattle, WA, USA, 2011.
Thomas Dahlgren, Schläppy, M. - L., Shashkov, A., Andersson, M., Rzhanov, Y., Fer, I., and Heggøy, E., Assessing impact from wind farms at subtidal, exposed marine areas, in Marine Renewable Energy and Environmental Interactions, Springer, 2013.
L. McKenna, Dijkstra, J. A., and Parrish, C. E., Assessing hurricane Sandy impacts on benthic habitats in Barnegut Bay with new topographic-bathymetric LIDAR technology, 2014 AGU Ocean Sciences Meeting. Honolulu, HI, 2014.
J. Miksis-Olds, Are Manatees Modifying Their Vocalizations to Compensate for Noise?, Journal of the Acoustical Society of America, 2006.
M. Jakobsson, Grantz, A., Kristoffersen, Y., and Macnab, R., Arctic Ocean Physiography, EOS Transactions, American Geophysical Union , vol. 83. San Francisco, CA, USA, pp. 0-0, 2002.Image icon Jakobsson_2002_AGU_Arctic_ocean_physiography.jpg (1.16 MB)
M. Jakobsson, Andreassen, K., Bjarndottir, L. R., Dove, D., Dowdeswell, J., England, J. H., Funder, S., Hogan, K., Ingolfsson, O., Jennings, A., Larson, N. K., Kirchner, N., Landvik, J. Y., Mayer, L. A., Mikkelsen, N., Moller, P., Niessen, F., Nilsson, J., O'Regan, M. A., Polyak, L., Norgaard-Pedersen, N., and Stein, R., Arctic Ocean Glacial History, Quaternary Science Reviews, vol. 92. pp. 42-67, 2014.
M. Jakobsson, Arctic Ocean Bathymetry: A required geospatial framework, The Arctic Observing Summit . 2013.
M. Jakobsson, Mayer, L. A., and Monahan, D., Arctic Ocean Bathymetry: A Necessary Geospatial Framework, ARCTIC, vol. 68, No. 5. Arctic Institute of North America, Calgary, Canada, pp. 41-47, 2015.PDF icon jakobsson-mayer-monahan-arctic-2015.pdf (500.23 KB)
L. A. Mayer, Arctic Marine Research: A U.S. Practitioner's Perspective, in Arctic Science, International Law and Climate Change, Berlin, Germany: Springer Heidleberg, 2012, pp. 83-95.
L. A. Mayer, The Arctic Continental Shelf and Its Evolving Morphologic Context, in Challenges of the Changing Arctic: Continental Shelf, Navigation and Fisheries, vol. 19, M. Nordquist, Moore, J. M., and Long, R., Eds. Leiden, The Netherlands: Brill Nijhoff Press, 2016, pp. 17–41.
T. Kokoszka, Pham, H., Sullivan, B. M., and Butkiewicz, T., AR-ChUM: Augmented Reality Chart Update Mashup, Oceans. IEEE Oceanic Engineering Society, Charleston, SC, 2018.PDF icon OCEANS18-ARNav.pdf (1.61 MB)
D. H. House, Blair, A. D., and Ware, C., An Approach to the Perceptual Optimization of Complex Visualizations, IEEE Transactions on Visualization and Computer Graphics, vol. 12. IEEE, Washington DC, Washington DC, USA, pp. 509-521, 2006.PDF icon House_06_VCG_Perceptual_optimization_of_complex_visualizations.pdf (7.93 MB)
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.
G. Masetti, Smith, M., Mayer, L. A., and Kelley, J. G., Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping, Frontiers in Marine Science, vol. 6:804. Frontiers Media, 2020.
G. Masetti, Augustin, J. - M., Lurton, X., and Calder, B. R., Applications of Sonar Detection Uncertainty for Survey Quality Control and Data Processing, Shallow Survey 2018. p. St. John's, NL, Canada, 2018.PDF icon Masetti_SS2018_Sonar_Detection_Uncertainty_abstract.pdf (409.17 KB)
H. K. Heidemann, Stoker, J., Brown, D., Olsen, M. J., Singh, R., Williams, K., Chin, A., Karlin, A., McClung, G., Janke, J., Shan, J., Kim, K. H., Sampath, A., Ural, S., Parrish, C. E., Waters, K., Wozencraft, J., Macon, C. L., Brock, John, Wright, C. Wayne, Hopkinson, C., Pietroniro, A., Madin, I., and Conner, J., Applications, in Airborne Topographic Lidar Manual, Bethesda, Maryland: American Society for Photogrammetry and Remote Sensing (ASPRS), 2012, pp. 283-423.
D. Sowers, Dijkstra, J. A., Mello, K., Masetti, G., Malik, M. A., and Mayer, L. A., Application of the Coastal and Marine Ecological Classification Standard to Gosnold Seamount, North Atlantic Ocean, in Seafloor Geomorphology as Benthic Habitat, 2nd nd ed., P. Harris and Baker, E., Eds. Elsevier, 2020, pp. 903-916.
A. Gracia, Guinda Salsamendi, X., Juanes, J. A., Rzhanov, Y., and Mayer, L. A., Application of Landscape Mosaics for the Ecological Status Assesment of Subtidal Macroalgae Communities Using the CFR Index, XIII International Symposium on Oceanography of the Bay of Biscay. Santander, Spain, 2012.
X. Guinda Salsamendi, Gracia, A., Puente, A., Juanes, J. A., Rzhanov, Y., and Mayer, L. A., Application of landscape mosaics for the biological quality assessment of subtidal macroalgae communities using the CFR index, Deep Sea Research. 2013.PDF icon Guinda-13-MosaicsAlgaeCommunities.pdf (1.02 MB)
A. Šaškov, Dahlgren, Thomas, Schläppy, M. - L., and Rzhanov, Y., Application of color based semi-automatic computer analysis for underwater videomosaics: North Atlantic hard bottom case, MAREANO Workshop. Trondheim, Norway, 2012.
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)
L. Fonseca, Brown, C., Calder, B. R., Mayer, L. A., and Rzhanov, Y., Angular Range Analysis of Acoustic Themes from Stanton Banks Ireland: A Link Between Visual Interpretation and Multibeam Echosounder Angular Signatures, ACM Transactions on Applied Perception (TAP), vol. 70. Association for Computing Machinery (ACM), New York, NY, USA, pp. 1298-1304, 2009.PDF icon Fonseca_2009_AA_Angular_range_analysis_of_acoustic_themes_from_Stanton_Banks_Ireland.pdf (2.61 MB)
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L. G. Ward, Morrison, R. C., McAvoy, Z. S., and Vallee-Anziani, M., Analysis of Vibracores from the New Hampshire Continental Shelf from 1984 and 1988, Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Division, Sterling, VA, 2021.
I. Kozlov, Analysis of Uncertainty in Underwater Multiview Reconstruction, University of New Hampshire, Durham, NH, 2018.PDF icon kozlov-ms-2018.pdf (793.6 KB)
M. Smith, Analysis of the Radiated Soundfield of a Deep Water Multibeam Echosounder Using a Submerged Navy Hydrophone Array, University of New Hampshire, Durham, NH, 2019.
M. Smith, Weber, T. C., Mayer, L. A., Moretti, D., Lyons, A. P., and Schmidt, V., Analysis of the Radiated Sound Field of Deep Water Multibeam Echo Sounders for Return Intensity Calibration Using an Underwater Hydrophone Array, The Journal of the Acoustical Society of America, vol. 142(2). Acoustical Society of America, pp. 2731-2731, 2017.
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F. Eren, Birkebak, M., and Pe'eri, S., Analysis of Airborne Lidar Bathymetry (ALB) Bottom Return Waveforms, 17th Annual JALBTCX Airborne Coastal Mapping and Charting Workshop. Silver Spring, MD, 2016.
E. Heffron, Analysis of Acoustic Scattering Layers In and Around Petermann Fjord, Northwest Greenland, University of New Hampshire, Durham, NH, 2022.
C. Stranne, Nilsson, J., Ulfsbo, A., O'Regan, M., Coxall, H. K., Merie, L., Muchowski, J., Mayer, L. A., Brüchert, V., Fredriksson, J., Thornton, B., Chawarski, J., West, G., Weidner, E., and Jakobsson, M., Amplified Climate Sensitivity of Northern Greenland Fjords through Sea-Ice Damming, Communications Earth & Environment, vol. 2(70). 2021.
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R. Wigley, Alumni of the First Ten Years of Nippon Foundation/GEBCO Postgraduate Certificate in Ocean Bathymetry Training Program, Fifth Extraordinary International Hydrographic Conference . Monaco, 2014.
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M. Birkebak, Airborne Lidar Bathymetry Beam Diagnostics Using an Underwater Optical Detector Array, University of New Hampshire, Durham, NH, 2017.PDF icon Matthew_Birkebak_FinalThesis.pdf (6.43 MB)
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T. C. Weber, Mayer, L. A., De Robertis, A., Greenaway, S. F., Rice, G. A., Beaudoin, J., and Shedd, B., Acoustic observations of oil and gas in the northern Gulf of Mexico during and after the Deepwater Horizon spill, 243rd Meeting of the American Chemical Society. 2012.
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A. R. Norton, Acoustic Methods for Mapping and Characterizing Submerged Aquatic Vegetation Using a Multibeam Echosounder, University of New Hampshire, Durham, NH, 2019.
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