Publications

[ Author(Asc)] Keyword 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 
S
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.
G. Seroka, Nagel, E., Hess, K., Weston, N., Greenlaw, J., Philips, J., Myers, E., and Powell, J., The Important Role of International Standards in Transforming Maritime Data into Usable Information for E-Navigation: Methods and Application, 2018 Fall Meeting, American Geophysical Union (AGU). p. Washington, DC, 2018.
K. D. Seger, Al-Badrawi, M. H., Miksis-Olds, J., Kirsch, N. J., and Lyons, A. P., An Empirical Mode Decomposition (EMD)-Based Detection and Classification Approach for Marine Mammal Vocal Signals, Journal of the Acoustical Society of America, vol. 144,6. Acoustical Society of America, pp. 3181-3190, 2018.
K. D. Seger and Miksis-Olds, J., A Decade of Marine Mammal Acoustical Presence and Habitat Preference in the Bering Sea, Polar Biology, vol. 43. pp. 1549–1569, 2020.
K. D. Seger and Miksis-Olds, J., Acoustic Documentation of Temperate Odontocetes in the Bering and Chukchi Seas, Marine Mammal Science, vol. 35. Society for Marine Mammalogy, pp. 1099-1111, 2019.PDF icon Seger_et_al-2019-Marine_Mammal_Science.pdf (3.33 MB)
K. Schwehr and Alexander, L., AIS Binary Message Format Using XML to Provide Hydrographic-related Information, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, Norfolk, VA, 2007.Image icon Schwehr_07_USHYDRO_AIS_binary_format_using_xml_for_hydrographic_info.jpg (481.49 KB)
K. Schwehr, Andres, P., Craig, J., Deen, R., De Jong, E., Fortino, N., Gorjian, Z., Kuramura, K., Lemmon, M., Levoe, S., Leung, C., Lutz, N., Ollerenshaw, R., Smith, P., Stetson, M., Suzuki, S., and the Phoenix Science Team, Visualizing the Operations of the Phoenix Mars Lander, American Geophysical Union (AGU). San Francisco, CA, USA, 2008.
K. Schwehr and Alexander, L., Right Whale AIS Project (RAP): Acoustic Detections in the Boston Approaches, Inland Navigation Technology. Vicksburg, MS, USA, 2009.
K. Schwehr and Alexander, L., Specification Format for AIS Binary Messages for Providing Hydrographic-related Information, U.S. Hydrographic Conference (US HYDRO). Norfolk, VA, USA, pp. 0-21, 2007.
K. Schwehr, Driscoll, N. W., and Tauxe, L., Origin of continental margin morphology: submarine-slide or downslope current-controlled bedforms, a rock magnetic approach, Marine Geology, vol. 240. Elsevier, New York, NY, USA, pp. 19-41, 2007.
K. Schwehr, Plumlee, M. D., Sullivan, B. M., and Ware, C., GeoCoastPilot - Linking the Coast Pilot with Geo-referenced Imagery & Chart Information, Shallow Water Survey Conference (SWS). Durham, NH, USA, 2008.PDF icon Schwehr_08_SNPWG_GeoCoastPilot.pdf (973.38 KB)
K. Schwehr and McGillivary, P. A., Marine Ship Automatic Identification System (AIS) for Enhanced Coastal Security Capabilities: An Oil Spill Tracking Application, IEEE Oceans. Vancouver, British Columbia, Canada, pp. 1-9, 2007.
K. Schwehr, Armstrong, A. A., Brennan, R. T., Fischman, D., Sellars, J., and Smith, S. M., Bathymetric Attributed Grids (BAGs): Discovery of Marine Datasets and Geospatial Metadata Visualization, Canadian Hydrographic Conference (CHC). Quebec City, Quebec, Canada, 2010.
K. Schwehr and Alexander, L., Proposed AIS Binary Message Format Using XML for Providing Hydrographic-related Information, U.S. Hydrographic Conference (US HYDRO). Norfolk, VA, USA, 2007.
K. Schwehr, Seismic-py: Reading Seismic Data with Python, The Python Papers, vol. 3. The Python Papers, pp. 0-8, 2008.PDF icon Schwehr_08_pythonpapers_seismic-py.pdf (3.24 MB)
K. Schwehr, Sullivan, B. M., and Gardner, J. V., Google Earth Visualizations: Preview and Delivery of Hydrographic and Other Marine Datasets, U.S. Hydrographic Conference (US HYDRO). Norfolk, VA, USA, pp. 0-0, 2007.PDF icon Schwehr_2007_USHYDRO_Google_Earth_Visualizations.pdf (62.86 KB)
K. Schwehr, AIS Binary Messages, Domain Examples and a Case for a XML Message Definition Language, USCG Puget Sound VTS. Seattle, WA, USA, pp. 1-47, 2007.
K. Schwehr and Alexander, L., Encoding AIS Binary Messages in XML Format for Providing Hydrographic-related Information, International Hydrographic Review, vol. 8. Geomatics Information & Trading Center - GITC, Lemmers, Amsterdam, The Netherlands, pp. 36-57, 2007.
K. Schwehr, Brennan, R. T., Sellars, J., and Smith, S. M., Discovery of Marine Datasets and Geospatial Metadata Visualization, American Geophysical Union (AGU). San Francisco, CA, USA, 2009.
K. Schwehr, Tauxe, L., Driscoll, N. W., and Lee, H. J., Detecting Compaction Disequilibrium with Anisotropy of Magnetic Susceptibility, Geochemistry Geophysics Geosystems, vol. 7. American Geophysical Union , Washington DC, Washington DC, USA, pp. 0-18, 2006.
K. Schwehr, Google's Spatial Tools in the Marine Environment - Decision Support, Google Tech Talk. San Francisco, CA, USA, 2008.
M. L. Schroth-Miller, A Statistical Analysis for Estimating Fish Number Density with the Use of a Multibeam Echosounder, University of New Hampshire, Durham, NH, 2013.
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.
M. L. Schroth-Miller and Weber, T. C., Estimating Atlantic Bluefin Tuna number density using the second moment of intensity, Acoustical Society of America. San Diego, CA, USA, 2011.
S. G. Schock, LeBlanc, L. R., and Mayer, L. A., The Development of Chirp Sonar Technology and Its Applications, EOS Transactions, American Geophysical Union , vol. 81. San Francisco, CA, USA, pp. 0-0, 2000.
V. Schmidt and Downs, R., Operations of an Autonomous Surface Vehicle Aboard the NOAA SHIP Fairweather, U.S. Hydrographic Conference (US HYDRO). The Hydrographic Society of America, Gulfport, MS, p. 13, 2019.PDF icon 2019_USHydro_ASV_on_Fairweather_vfinal_emailreduced.pdf (6.34 MB)
V. Schmidt, Arctic Sound Speed: A Desktop Study for Single Beam Echo Sounding, American Geophysical Union (AGU), vol. 89. San Francisco, CA, USA, 2008.
V. Schmidt, A New Method for Generation of Soundings from Phase-Difference Measurements, 2014 Canadian Hydrographic Conference. St. John's, NF, Canada, 2014.PDF icon CHC2014_ValSchmidt_paper_vfinal.pdf (9.18 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)
V. Schmidt, Empirical Uncertainty Estimation for the Klein 5000v2 Sonar, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, Durham, NH, USA, 2011.
V. Schmidt, Weber, T. C., Ware, C., Arsenault, R., Wiley, D. N., Johnson, M. P., Dawe, E., and Friedlaender, A. S., Whale tracking underwater: high frequency acoustic pingers and the instrumented tag (DTAG), Acoustical Society of America (ASA). New Orleans, LA, USA, pp. 0-0, 2007.
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)
V. Schmidt, Underwater Tracking of Humpback Whales with High-frequency Pingers and Acoustic Recording Tags, 2008.PDF icon Schmidt_2008_MS-Thesis_Underwater_Tracking_of_Humpack_Whales_with_Tags.pdf (3.9 MB)
V. Schmidt, Weber, T. C., Wiley, D. N., and Johnson, M. P., Underwater Tracking of Humpback Whales (Megaptera Novaeangliae) with High-Frequency Pingers and Acoustic Recording Tags, IEEE Journal of Oceanic Engineering, vol. 35. IEEE, Washington DC, Washington DC, USA, pp. 821-836, 2010.
V. Schmidt, Raineault, N. A., Skarke, A., Trembanis, A., and Mayer, L. A., Correction of Bathymetric Artifacts Resulting from Surface-Wave Inducted Modulations of an AUV Pressure Sensor, University of New Hampshire (UNH), Center for Coastal and Ocean Mapping (CCOM)/Joint Hydrographic Center (JHC), 2010.PDF icon Schmidt_2010_Report_Correction_of_Bathymetric_Survey_Artifacts_of_an_AUV.pdf (1.46 MB)
V. Schmidt, When is it Advantageous to Maximise Swath Width? When Bigger is Not Better, Hydro International, vol. 21,6. 2017.
V. Schmidt, Acoustic Surface Backscatter vs Incidence Angle from Glacial Ice, FEMME-2013. Boston, MA, USA, 2013.
V. Schmidt, Hydrographic Survey with Autonomous Surface Vessels: A Best Practices Guide, International Hydrographic Review, vol. P-1(24). International Hydrographic Organization, Monaco, pp. 189-201, 2020.PDF icon Hydrographic Survey with Autonomous Surface Vehicles.pdf (8.79 MB)
V. Schmidt, Downs, R., and Levano, M., Integration and Operation of DriX-12 Aboard NOAA Ship Thomas Jefferson, US Hydroraphic Conference. p. Biloxi, MS, 2023.PDF icon DriX12AboardTJ_vFINAL_Schmidt_compressed.pdf (1019.68 KB)
V. Schmidt, Raineault, N. A., Skarke, A., Trembanis, A., and Mayer, L. A., Correction of Bathymetric Survey Artifacts Resulting from Apparent Wave-induced Vertical Movement of an AUV, University of New Hampshire (UNH), Center for Coastal and Ocean Mapping (CCOM)/Joint Hydrographic Center (JHC), 2009.
V. Schmidt, Raineault, N. A., Skarke, A., Trembanis, A., and Mayer, L. A., Correction of Bathymetric Survey Artifacts Resulting from Apparent Wave-Induced Vertical Position of an AUV, Canadian Hydrographic Conference (CHC). Quebec City, Quebec, Canada, 2010.
V. Schmidt, Fairbarn, K. G., and McLeod, M. A., Emergency Towing of Drix, UNH Center for Coastal and Ocean Mapping, Durham, NH, 2023.PDF icon How to Tow with DriX.pdf (555.16 KB)
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.
V. Schmidt and Rzhanov, Y., Measurement of Micro-bathymetry with a GOPRO Underwater Stereo Camera Pair, IEEE Oceans. IEEE, Hampton Roads, VA, 2012.PDF icon PID2487337.pdf (797.86 KB)
V. Schmidt, A Solution to TSP for Survey Line Segments, North East Robotics Colloquium. Lowell, MA, 2022.PDF icon NERC_2022_ValSchmidt.pdf (550.08 KB)
G. P. Schmal, Hickerson, E. L., Weaver, D. C., and Gardner, J. V., High-resolution Multibeam Mapping and Habitat Characterization of Topographic Features in the Northwest Gulf of Mexico, U.S. Hydrographic Conference (US HYDRO). Biloxi, MS, USA, pp. 0-0, 2003.
A. C. G. Schimel, Beaudoin, J., Parnum, I. M., Le Bas, T., Schmidt, V., Keith, G., and Ierodiaconou, D., Multibeam Sonar Backscatter Data Processing, Marine Geophysical Research, 2018.PDF icon Schimel2018_Article_MultibeamSonarBackscatterDataP.pdf (2.3 MB)
A. C. G. Schimel, Rzhanov, Y., Fonseca, L., Mayer, L. A., and Immenga, D., Combining angular and spatial information from multibeam backscatter data for improved unsupervised acoustic seabed segmentation, Shallow Survey 2012. Wellington, New Zealand, 2012.
A. C. G. Schimel, Roche, M., Malik, M. A., Vrignaud, C., Masetti, G., and Dolan, M., Requesting and Comparing Intermediate Results from Several Backscatter Data Processing Software: A First Step Towards Future Consistency of Multibeam Backscatter Estimation, GeoHab 2018. p. Santa Barbara, CA, 2018.PDF icon Schimel_et_al_GeoHab_2018_Requesting_and_Comparing_Intermediate_Results.pdf (121.69 KB)
B. P. Scandella, Pillsbury, L., Weber, T. C., Ruppel, C., Hemond, H. F., and Juanes, R., Ephemerality of Discrete Methane Vents in Lake Sediments, Geophysical Research Letters, vol. 43,9. American Geophysical Union , pp. 4374–4381, 2016.
L. Sautter, Morrison, C. L., Cantwell, K., Sowers, D., and Lobecker, E., Windows to the Deep 2018: Exploration of the Southeast U.S. Continental Margin, Oceanography, vol. 32(1). pp. 82-85, 2019.PDF icon Windows_2018_32-1_supplement.pdf (1.25 MB)
M. Sault, Parrish, C. E., White, S. A., Sellars, J., and Woolard, J., A Sensor Fusion Approach to Coastal Mapping, Coastal Zone Conference. New Orleans, LA, USA, 2005.PDF icon Parrish_2005_A_Sensor_Fusion_Approach.pdf (652.42 KB)
R
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.
Y. Rzhanov, Cutter Jr., R. G., Matal, Y., and Kastner, R., Detection, measurement and recognition of fish species underwater, Mesh Atlantic Video Survey Techniques Workshop. Faro, Algarve, POR, 2011.
Y. Rzhanov, Mayer, L. A., Beaulieu, S. E., Soule, S. A., and Fornari, D. J., Non-iterative Global Alignment of Image Sequences, International Association of Science and Technology for Development (IASTED). Honolulu, HI, USA, 2006.
Y. Rzhanov, Huff, L. C., and Cutter Jr., R. G., Seafloor Video Mapping: Modeling, Algorithms, Apparatus, International Conference on Image Processing (ICIP). Rochester, NH, USA, pp. 0-4, 2002.
Y. Rzhanov and Pe'eri, S., Registration of the Hyperspectral Data to Aerial Photography (USACE's CHARTS Systems)., FUDOTERAM Workshop Reminder on LiDAR Bathymetric Studies. Montreal, Quebec, Canada, 2009.
Y. Rzhanov, Mayer, L. A., Beaulieu, S. E., Soule, S. A., Shank, T. M., and Fornari, D. J., Automated Generation of Geo-referenced Mosaics from Video Data Collected by Deep Submergence Vehicles: Preliminary Results, EOS Transactions, American Geophysical Union . San Francisco, CA, USA, pp. 0-0, 2005.
Y. Rzhanov, Mayer, L. A., and Fornair, D., Deep-sea image processing, IEEE Oceans. Kobe, Kobe, Japan, pp. 647-652, 2004.
Y. Rzhanov, Pe'eri, S., Guilford, J., and Gardner, J. V., Seafloor characterization using airborne hyperspectral co-registration procedures independent from attitude and positioning sensors, Coastal Geotools 2011. Myrtle Beach, SC, USA, 2011.
Y. Rzhanov, Huff, L. C., and Cutter Jr., R. G., Improvement of Image Alignment Using Camera Attitude Information, International Symposium on Signal Processing and Its Applications (SPIA). Kuala Lumpur, Kuala Lumpur, Malaysia, pp. 0-4, 2001.
Y. Rzhanov, Mayer, L. A., Beaulieu, S. E., Shank, T. M., Soule, S. A., and Fornari, D. J., Deep Sea Geo-referenced Video Mosaics, IEEE Oceans. Boston, MA, USA, 2006.
Y. Rzhanov, Huff, L. C., and Cutter Jr., R. G., Underwater Video Survey: Planning and Data Processing, International Conference on Signal and Image Processing (SIP). Kauai, HI, USA, pp. 0-4, 2002.
Y. Rzhanov, Methodology of Processing of Stereoimagery of Fish Underwater: Software and Algorithms, Center for Coastal and Ocean Mapping / Joint Hydrographic Center, Durham, NH, 2012.
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.
Y. Rzhanov and Pe'eri, S., Mosaic tools for lidar surveying, Joint Airborne LIDAR Bathymetry Technical Center of Expertise Coastal Mapping and Charting Workshop (JALBTCX). Seattle, WA, USA, 2007.
Y. Rzhanov, Pe'eri, S., and Shashkov, A., Probabilistic Reconstruction of Color for Species' Classification Underwater, IEEE/MTS Oceans '15. Genova, Italy, 2015.PDF icon PID3655693.pdf (392.19 KB)
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.
Y. Rzhanov and Gu, F., Multi resolution quality improvement for patch-bases texture synthesis in wavelet domain, International Association of Science and Technology for Development (IASTED). Honolulu, HI, USA, 2006.
Y. Rzhanov and Pe'eri, S., CHARTS Data Fusion: Multi-sensor Imagery Co-registration., Joint Airborne LIDAR Bathymetry Technical Center of Expertise Coastal Mapping and Charting Workshop (JALBTCX). Mobil, AL, USA, 2010.
Y. Rzhanov and Kozlov, I., Quantitative Assessment of Camera Calibration for 3D Reconstruction of Underwater Scenes in the Presence of Refraction, Oceans '18. IEEE, Charleston, SC, pp. 1-5, 2018.
Y. Rzhanov, Mamaenko, A., and Yoklavich, M., UVSD: Software for Detection of Color Underwater Features, IEEE Oceans. St. Andrews, New Brunswick, Canada, pp. 0-4, 2005.
Y. Rzhanov and Pe'eri, S., Registration of the hyperspectral data to aerial photography (USACE's CHARTS systems), Joint Airborne LIDAR Bathymetry Technical Center of Expertise Coastal Mapping and Charting Workshop (JALBTCX). San Francisco, CA, USA, 2008.
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.
Y. Rzhanov, Cutter Jr., R. G., and Mayer, L. A., Seafloor Segmentation Based on Bathymetric Measurements from Multibeam Echosounders Data, International Symposium on Signal Processing and Its Applications (SPIA). Paris, Paris, France, pp. 0-0, 2003.
Y. Rzhanov, Pe'eri, S., and Shashkov, A., Ambiguity of Underwater Color Measurement and Color-based Habitat Classification, 4th Topical Meeting on Blue Photonics. Barcelona, Spain, 2015.PDF icon BluePhotonics15-CCOM.pdf (133.62 KB)
Y. Rzhanov, Hu, H., and Boyen, T., Dense reconstruction of underwater scenes from monocular sequences of images, Oceans 2014. 2014.PDF icon Rzhanov-DenseReconstruction.pdf (91.7 KB)
Y. Rzhanov, Pe'eri, S., and Shashkov, A., Probabilistic Reconstruction of Color for Species' Classification Underwater, IEEE/MTS Oceans '15. Genova, Italy, p. Genova, Italy, 2015.PDF icon Oceans15-UNH-CCOM-Abstract.pdf (303.97 KB)
Y. Rzhanov and Pe'eri, S., Pushbroom-frame Imagery Co-registration: USACE's CHARTS, Marine Geodesy, vol. 35. pp. 141-157, 2012.
Y. Rzhanov and Gu, F., Enhancement of Underwater Video Mosaics for Post-Processing, IEEE Oceans. Vancouver, British Columbia, Canada, 2007.
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.
Y. Rzhanov, Eren, F., Pe'eri, S., and Thein, M. - W., An image processing approach for determining of relative pose of unmanned underwater vehicles, Oceans'14 MTS/IEEE. Taipei, Taiwan, 2014.PDF icon Rzhanov_et_al_2014-Final.pdf (218.39 KB)
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, Huff, L. C., Cutter Jr., R. G., and Mayer, L. A., Sensor-assisted Video Mapping of the Seafloor, IEEE Oceans. Biloxi, MS, USA, pp. 0-0, 2002.
Y. Rzhanov, Mayer, L. A., Fornair, D., Shank, T. M., Humphris, S., Scheirer, D., Kinsey, J., and Whitcomb, L. L., High-resolution Photo-mosaicing of the Rosebud Hydrothermal Vent Site and Surrounding Lava Flows, Galapagos Rift 86W: Techniques and Interpretation, EOS Transactions, American Geophysical Union , vol. 84. San Francisco, CA, USA, pp. 0-0, 2003.
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)
K. M. Rychert and Weber, T. C., Acoustic Measurements of a Controlled Gas Seep, The Journal of the Acoustical Society of America, vol. 141(5). Acoustical Society of America, pp. 3524-3524, 2017.
K. M. Rychert and Weber, T. C., Tests of Acoustic Target Strength and Bubble Dissolution Models Using a Synthetic Bubble Generator, Journal of Atmospheric and Oceanic Technology. American Meteorological Society, 2020.
C. Russel, Pinner, W., Lovalvo, D., Skarke, A., Lobecker, E., Malik, M. A., and Nadeau, L. T. M., Technology: NOAA Ship Okeanos Explorer, Oceanography , vol. 25. pp. 12-15, 2012.
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.
E. H. Roth, Schmidt, V., Hildebrand, J. A., and Wiggins, S. M., Underwater radiated noise levels of a research icebreaker in the central Arctic Ocean, The Journal of the Acoustical Society of America, vol. 133, pp. 1971–1980, 2013.PDF icon Roth et al. - 2013 - Underwater radiated noise levels of a research ice.pdf (4.65 MB)
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.
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, Improved Sound Speed Control Through Remotely Detecting Strong Changes in the Thermocline, University of New Hampshire, Durham, NH, 2018.PDF icon cordero-ms-2018.pdf (7.99 MB)
M. Rognstad, Anderson, R. M., Chayes, D. N., and Mayer, L. A., Seafloor Sounding in Polar and Remote Regions (SSPARR) Project - Initial Field Trials, EOS Transactions, American Geophysical Union . San Francisco, CA, USA, pp. 0-0, 2005.
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.
J. Rogers, Parrish, C. E., Ward, L. G., and Burdick, D. M., Improving Salt Marsh Digital Elevation Model Accuracy with Full-Waveform Lldar and Nonparametric Predictive Modeling, Estuarine, Coastal and Shelf Science, vol. 202. Elsevier, pp. 193-211, 2018.
J. Rogers, Parrish, C. E., Ward, L. G., and Burdick, D. M., Evaluation of Field-Measured Vertical Obscuration and Full Waveform Lidar to Assess Salt Marsh Vegetation Biophysical Parameters, Remote Sensing of Environment, vol. 156. pp. 264-275, 2015.
S. Robinson, Ping Once Use many times: NOAA Wilmington NC 2016 Field Season, 2017 U.S. Hydrographic Conference. p. Galveston, TX, 2017.
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.
G. A. Rice and Calder, B. R., Data Density and Grid Resolution, U.S. Hydrographic Conference (US HYDRO). Norfolk, VA, USA, 2009.
G. A. Rice, Weber, T. C., Beaudoin, J., and Pirtle, J. L., Descriptive Report for Project BY1001, NOAA Integrated Ocean and Coastal Mapping Center, Durham, NH, USA, 2011.
G. A. Rice, Gammelseter, O. Bernt, and Weber, T. C., Seafloor Mapping with a Cylindrical Array, The Journal of the Acoustical Society of America, vol. 141(5). Acoustical Society of America, 2017.
G. A. Rice, Wyllie, K., Gallagher, B., and Geleg, P., The National Bathymetric Source, OCEANS 2023 - MTS/IEEE U.S. Gulf Coast. Biloxi, MS, pp. 1-7, 2023.
G. A. Rice, Weber, T. C., and Pirtle, J. L., Descriptive Report to Accompany NOAA Ship Oscar Dyson 2011, 2012.PDF icon DY1103_Descriptive_Report.pdf (1.65 MB)
G. A. Rice and Riley, J., Measuring the Water Level Datum Relative to the Ellipsoid During Hydrographic Survey, U.S. Hydrographic Conference (US HYDRO). Tampa, FL, USA, 2011.
G. A. Rice, Trip Report for Nancy Foster IOCM Project 2010, National Oceanic and Atmospheric Adminiatration (NOAA), Internal Report, 2010.
G. A. Rice, Greenaway, S. F., Weber, T. C., and Beaudoin, J., Methods for Collecting and Using Backscatter Field Calibration Information for the Reson 7000 Series Multibeam, 2012 Canadian Hydrographic Conference. Niagara Falls, Canada, 2012.PDF icon Rice_CHC2012.pdf (239.36 KB)
B. Reser, OS51D-1907. The Evolution of Information Management in Oceanographic Exploration, 2012 Fall Meeting, American Geophysical Union (AGU). 2012.
M. Reidel, Kelley, D. S., Delaney, J. R., Spence, G. D., Hyndman, R. D., Mayer, L. A., Calder, B. R., Lilley, M. D., Olson, H. C., Schrenk, M. O., and Coffin, R., Discovery of an Active Submarine Mud Volcano Along the Nootka Fault West of Vancouver Island, EOS Transactions, American Geophysical Union , vol. 82. San Francisco, CA, USA, pp. 0-0, 2001.
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)
S. Reed, Providing Nautical Chart Awareness to Autonomous Surface Vehicles, University of New Hampshire, Durham, NH, 2018.PDF icon reed-sam-thesis-2018.pdf (4.57 MB)
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)
S. Randeni, Parameter identification of a nonlinear model: replicating the motion response of an autonomous underwater vehicle for dynamic environments, Nonlinear Dynamics. Springer Netherlands, pp. 1-19, 2017.
R. Ranasinghe, Holman, R., de Schipper, M., Lippmann, T. C., Wehof, J., T. Duong, M., Roelvink, D., and Stive, M., Quantifying Nearshore Morphological Recovery Time Scales Using ARGUS Video Imaging: Palm Beach, Sydney and Duck, NC, 33rd International Conference on Coastal Engineering, vol. 24. ASCE, Santander, Spain, pp. 1-7, 2012.PDF icon Ranasinghe et al_ICCE paper (353).pdf (191.75 KB)
D. W. Ramsey, Dartnell, P., Bacon, C. R., Robinson, J. E., and Gardner, J. V., Crater Lake Revealed - Investigations I-2790, U.S. Geological Survey (USGS), 2003.
D. W. Ramsey, Robinson, J. E., Dartnell, P., Bacon, C. R., Gardner, J. V., Mayer, L. A., and Buktenica, M., Crater Lake Revealed: Using GIS to Visualize and Analyze Post Caldera Volcanoes Beneath Crater Lake, EOS Transactions, American Geophysical Union , vol. 82. San Francisco, CA, USA, pp. 0-0, 2001.
N. A. Raineault, Mayer, L. A., Ballard, R., and Irish, O., Mapping the Eastern Pacific Ocean, Oceanography, vol. 29, No.1, Supplement. The Oceanography Society, pp. 38-9, 2016.PDF icon mayer-oceanography-v29-no1-eastern-pacific.pdf (484.31 KB)
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.
N. A. Raineault, Ballard, R., Fahy, J., Mayer, L. A., Heffron, E., Kranosky, K., Roman, C., Schmidt, V., McLeod, A., Bursek, J., and Broad, K., Correlating Sea Level Rise Still-stands to Marine Terraces and Undiscovered Submerged Shoreline Features in the Channel Islands (USA) Using Autonomous and Remotely Operated Systems, 2017 Fall Meeting, American Geophysical Union (AGU). p. New Orleans, LA, 2017.
N. A. Raineault, Ballard, R., Mayer, L. A., Fisher, C. R., Carey, S., Marsh, L., Kane, R., Tüzün, S., Shank, T. M., and Smart, C., Exploration of Hydrothermal Vents Along the Galapagos Spreading Center, Oceanography, vol. 29, No.1, Supplement. The Oceanography Society, pp. 35-7, 2016.PDF icon mayer-oceanography-v29-no1-galapagos.pdf (692.56 KB)
P
V. E. Price, Dijkstra, J. A., O'Neil-Dunne, J. P. M., Parrish, C. E., Nagel, E., and Pe'eri, S., Developing methodology for efficient eelgrass habitat mapping across lidar systems, Marine Geological and Biological Habitat Mapping (GEOHAB). Salvador, Brazil, 2015.
V. Pradith, Pe'eri, S., Maddock, D., Oroshnik, D., Riley, J., and Murray, B., Integrating Industrial Laser Scanners for Small Vessel Operations, US Hydrographic Conference 2015. 2015.
J. Powell, Greenlaw, J., Hess, K., Nagel, E., Seroka, G., Weston, N., and Kelley, J. G., The World of S-100: Data Standards for Navigation Systems and Beyond, 100th AMS Annual Meeting. p. Boston, MA, 2020.
J. Powell, Armstrong, A., Baek, Y., Brazier, D., Hess, K., Philips, J., Seroka, G., and Weston, N., Data Standards for Navigation Systems and Beyond – The World of S-100, US Hydrographic Conference 2019. Hydrographic Society of America, Biloxi, MS, 2019.
F. Pohner, Bakke, J., Nilsen, O., Kjaer, T., and Fonseca, L., Integrating Imagery from Hull Mounted Sidescan Sonars with Multibeam Bathymetry, U.S. Hydrographic Conference (US HYDRO). Norfolk, VA, USA, pp. 0-0, 2007.
M. D. Plumlee, Schwehr, K., Alexander, L., Sullivan, B. M., and Ware, C., GeoCoastPilot: A Better Way of Organizing and Displaying Information in Support of Port Familiarization, IEEE Oceans. Biloxi, MS, USA, 2009.PDF icon Plumlee_09_Oceans_GeoCoastPilot_a_better_way_of_organizing_info_support_port_familiarization.pdf (1.75 MB)
M. D. Plumlee and Ware, C., Integrating Multiple 3D Views through Frame-of-reference Interaction, Coordinated and Multiple Views in Exploratory Visualization (CMV). London, London, UK, pp. 34-43, 2003.
M. D. Plumlee, Arsenault, R., Brennan, R. T., and Ware, C., The CCOM Chart of the Future Project: Maximizing Mariner Effectiveness Through Fusion of Marine & Visualization Technologies, Marine Transportation System Research and Technology Coordination Conference. St. Andrews, New Brunswick, Canada, pp. 0-0, 2004.
M. D. Plumlee, Ware, C., Komerska, R., Chappell, A. G., and Arsenault, R., Monitoring Distributed Autonomous Entities Through Linkable 3D Windows, Unmanned Untethered Submersible Technology Symposium (UUST). Durham, NH, USA, pp. 0-0, 2001.
M. D. Plumlee and Ware, C., Zooming, Multiple Windows, and Visual Working Memory, Advanced Visual Interface (AVI). St. Andrews, New Brunswick, Canada, pp. 59-68, 2002.PDF icon Plumlee_2002_AVI_Zooming_multiple_windows_and_visual_working_memory.pdf (1.42 MB)
M. D. Plumlee, Linking Focus and Context in 3D Multiscale Environments, 2004.PDF icon Plumlee_2004_PHD-Thesis_Linking_Focus_and_Context_in_3D_Multiscale_Environments.pdf (14.62 MB)
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)
M. D. Plumlee, Ware, C., Arsenault, R., and Brennan, R. T., Panoramic Images for Situational Awareness in a 3D Chart-of-the-Future Display, U.S. Hydrographic Conference (US HYDRO). San Diego, CA, USA, pp. 0-8, 2005.
M. D. Plumlee and Ware, C., Frame of Reference Interaction. User Interface Software Technology Demonstration, User Interface Software Technology (UIST). Paris, Paris, France, pp. 41-42, 2002.
M. D. Plumlee and Ware, C., An Evaluation of Methods for Linking 3D Views, ACM SIGGRAPH Symposium on Interactive 3D Graphics (I3D). Monterey, CA, USA, pp. 193-201, 2003.PDF icon Plumlee_2003_SIGGRAPH_An_evaluation_of_methods_for_linking_3d_views.pdf (2.51 MB)
J. L. Pirtle, Ibarra, S. N., and Eckert, G. L., Nearshore subtidal community structure compared between inner coast and outer coast sites in Southeast Alaska, Polar Biology, vol. 35. pp. 1889-1910, 2012.
J. L. Pirtle, Weber, T. C., Wilson, C. D., and Rooper, C., Seafloor Characterization for Trawlability and Fish Habitat Using the Simrad ME70 Multibeam Echosounder in the Gulf of Alaska, 2nd National Habitat Assessment Workshop: Fisheries Science to Support NOAA’s Habitat Blueprint. NOAA Fisheries Office of Science and Technology, Seattle, WA, USA, 2012.
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. L. Pirtle, Weber, T. C., Wilson, C. D., Rooper, C., and Calder, B. R., Seafloor Characterization for Trawlability Using the Simrad ME70 Multibeam Echosounder in the Gulf of Alaska, GeoHab, Marine Geological and Biological Habitat Mapping Meeting. Orcas Island, WA, United States, 2012.
J. L. Pirtle, Eckert, G. L., and Stoner, A. W., Habitat structure influences the survival and predator-prey interactions of early juvenile red king crab Paralithodes camtschaticus, Marine Ecology Progress Series, vol. 465. pp. 169-184, 2012.PDF icon Pirtle et al. 2012_MEPS.pdf (466.68 KB)
J. L. Pirtle, Weber, T. C., Wilson, C. D., and Rooper, C., Seafloor Characterization for Trawlability and Fish Habitat Using the Simrad ME70 Multibeam Echosounder in the Gulf of Alaska, Ocean Sciences Meeting - ASLO/AGU/TOS. Salt Lake City, UT, United States, 2012.
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.
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.
D. Pineo and Ware, C., Neural Modeling of Flow Rendering Effectiveness, ACM Transactions on Applied Perception (TAP), vol. 7. Association for Computing Machinery (ACM), New York, NY, USA, pp. 1-15, 2010.
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)
D. Pineo and Ware, C., Data Visualization Optimization via a Computational Modeling of Perception, IEEE Transactions on Visualization and Computer Graphics, vol. 18. Association for Computing Machinery (ACM), New York, NY, USA, pp. 309-320, 2012.
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)
L. Pillsbury and Weber, T. C., Fate of Methane Gas Bubbles Emitted from the Seafloor Along the Western Atlantic Margin as Observed by Active Sonar, The Journal of the Acoustical Society of America, vol. 137(4). Acoustical Society of America, pp. 2361-2361, 2015.
D. H. F. Pilar, Representing Flow Patterns by Using Streamlines with Glyphs, IEEE Transactions on Visualization and Computer Graphics, vol. 19. pp. 1331-1341, 2013.
D. H. F. Pilar, Visualizing Magnitude and Direction in Flow Fields, University of New Hampshire, Durham, NH, 2012.PDF icon pilar-david-thesis.pdf (3.18 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.
J. Pierce, Butler, M. J., Rzhanov, Y., Lowell, K., and Dijkstra, J. A., Classifying 3-D Models of Coral Reefs Using Structure-from-Motion and Multi-View Semantic Segmentation, Frontiers in Marine Science, vol. 8:706674. 2021.
J. Pierce, Rzhanov, Y., Lowell, K., and Dijkstra, J. A., Reducing Annotation Times: Semantic Segmentation of Coral Reef Survey Images, Global Oceans 2020. IEEE, U.S. Gulf Coast, Biloxi, MS, USA, pp. 1-9, 2020.
P. Piauilino, Fonseca, L., and Maldonado, P., Acquisition of sonography, bathymetric and high-frequency profile data in Campos Basin, International Congress of Geophysics. Rio de Janeiro, Rio de Janeiro, Brazil, 1995.
J. C. Phillips, Abbott, J. L., and de Moustier, C., Multiple Sound Source Synchronizer for Seafloor Surveying, Offshore Technology Conference (OTC). Houston, TX, USA, pp. 0-8, 1988.
D. Perkovic, Lippmann, T. C., and Frasier, S. J., Longshore Surface Currents Measured by Doppler Radar and Video PIV Techniques, IEEE Transactions on Geoscience and Remote Sensing, vol. 47(8). IEEE, Washington DC, Washington DC, USA, pp. 2787-2800, 2009.PDF icon 14_perkovic_etal_2009.pdf (1.06 MB)
D. Perkovic, Frasier, S. J., and Lippmann, T. C., Marine Doppler radar surface current measurements in the surf zone, 9th Current Measurement Technical Conference, vol. 1. IEEE/OES/CMTC, Charleston, SC, pp. 194-202, 2008.PDF icon 19_perkovic_etal_2008.pdf (679.79 KB)
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)
S. Pe'eri, Morgan, L. V., and Armstrong, A. A., Airborne Lidar Bathymetry Products for Shoreline Mapping, Joint Airborne LIDAR Bathymetry Technical Center of Expertise Coastal Mapping and Charting Workshop (JALBTCX). San Francisco, CA, USA, 2008.
S. Pe'eri, Keown, P., and Gonsalves, M., Reconnaissance Surveying Using Satellite-derived Bathymetry, Hydro International, vol. 19 (7). pp. 21-23, 2015.PDF icon Peeri_et_al_2015_Hydro_Int.pdf (592.97 KB)
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.
S. Pe'eri, Tibor, G., Madore, B., and Ketter, T., Satellite-derived bathymetry of the Achziv coastal area, northern Israel, The 10th Annual Meeting of the Israeli Association for Aquatic Sciences. 2013.PDF icon IAAS_Peeri_et_al_final_2013_GT.pdf (1.13 MB)
S. Pe'eri, Auclert, G., Wittrock, A., Nyberg, J., and Harmon, C., Rescheming Plan for NOAA's Electronic Navigational Chart Coverage, International Cartographic Conference (ICC). Washington, DC, p. Washington, DC, 2017.
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)
S. Pe'eri, Keown, P., Snyder, L. P., Gonsalves, M., and Nyberg, J., Reconnaissance Surveying of Bechevin Bay, AK Using Satellite-Derived Bathymetry, US Hydrographic Conference 2015. 2015.
S. Pe'eri, Kidd, J., Pradith, V., Jablonski, H., and Davidson, M., Integrating Industrial Multichannel Laser Scanners for Small Vessel Operation, 16th Annual JALBTCX Airborne Coastal Mapping and Charting Workshop. Corvallis, OR, USA, 2015.
S. Pe'eri, Parrish, C. E., Alexander, L., Azuike, C., Armstrong, A. A., and Sault, M., Future directions in hydrography using satellite-derived bathymetry, US Hydrographic Conference 2013. THSOA, New Orleans, LA, USA, 2013.
S. Pe'eri and Long, B., Lidar Technology Applied in Coastal Studies and Management, Journal of Coastal Research, vol. S162. pp. p. 1-5, 2011.
S. Pe'eri, Gardner, J. V., Ward, L. G., Morrison, J. R., and Lillycrop, J., Identifying subtidal coastal environments using airborne lidar bathymetry (ALB), American Geophysical Union (AGU). San Francisco, CA, USA, 2007.
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.
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.
S. Pe'eri, Kumar, A. M., and Calder, B. R., Simulating an Airborne Lidar Bathymetry (ALB) System, Optical Remote Sensing of the Environment (ORS). Tucson, AZ, USA, 2010.
S. Pe'eri and Shwaery, G., Radiometric and Photometeric Determinations of Simulated Shallow-Water Environment, International Journal of Remote Sensing, vol. 34(18). Taylor & Francis, pp. 6437-6450, 2013.
S. Pe'eri and Rzhanov, Y., CHARTS data fusion: Multi-sensor imagery co-registration, Coastal Geotools. Myrtle Beach, SC, USA, pp. 62-63, 2009.
S. Pe'eri and Philpot, W. D., Increasing the Existence of Very Shallow-water LIDAR Measurements Using the Red-channel Waveforms, IEEE Transactions on Geoscience and Remote Sensing, vol. 75. IEEE, Washington DC, Washington DC, USA, pp. 1217-1223, 2006.
S. Pe'eri, Nyberg, J., Auclert, G., Barber, J. E., Morrow, D., and Wittrock, A., Large-Scale Navigational Chart Update Using Data Collected During the Super Storm Sandy Disaster Relief Efforts, Association of American Geographers (AAG) Annual Meeting. Boston, MA, p. Boston, MA, 2017.
S. Pe'eri and Rzhanov, Y., Mosaicking Tools for Aerial Imagery from a LIDAR Bathymetry Survey, International Hydrographic Review, vol. 9. Geomatics Information & Trading Center - GITC, Lemmers, Amsterdam, The Netherlands, pp. 35-44, 2008.
S. Pe'eri, Morrison, J. R., Frederick, S., Mathieson, A., Brook, A., and Trowbridge, P., Macroalgae and Eelgrass Mapping in Great Bay Estuary Using AISA Hyperspectral Imagery., The New Hampshire Estuaries Project, Piscataqua Regional Estuary Program, 2009.
S. Pe'eri, Smith, S. M., Snyder, L. P., and Madore, B., Satellite-Derived Bathymetry Using Multiple Images: The Alaska North Slope Case Study, 2014 Canadian Hydrographic Conference. St. John's, NF, Canada, 2014.
S. Pe'eri, Madore, B., Alexander, L., Parrish, C. E., Klemm, A., Armstrong, A. A., Azuike, C., and Tetteh, E., Satellite-Derived Bathymetry, in The IHO-IOC GEBCO Cook Book (IHO Publication B-11 and IOC Manuals and Guides, 63), 11.1.16th ed., Monaco, Monaco Cedex, Monaco: International Hydrographic Office (IHO)/ International Ocean Commision (IOC), 2016, pp. 346-422.
S. Pe'eri and Shwaery, G., Light Field and Water Clarity Simulation of Natural Environments in Laboratory Conditions, SPIE Defense, Security and Sensing (Ocean remote sensing and monitoring IV ). Baltimore, MD, 2012.
S. Pe'eri, Madore, B., Nyberg, J., Snyder, L. P., Parrish, C. E., and Smith, S. M., Evaluation of Chart Adequacy over the Arctic North Slope using a Satellite-Derived Bathymetry multi-temporal approach, Journal of Coastal Research. pp. 56-63, 2016.PDF icon Peeri_et_al_JCR_2016_si76-06.pdf (2.98 MB)
S. Pe'eri, Morrison, J. R., Frederick, S., Mathieson, A., and Trowbridge, P., Macroalgae and Eelgrass Mapping in Great Bay Estuary Using AISA Hyperspectral Imagery, Coastal Geotools. Myrtle Beach, SC, USA, pp. 110-111, 2009.
S. Pe'eri, Parrish, C. E., Alexander, L., and Armstrong, A. A., Satellite-derived bathymetry: A reconnaissance tool for hydrography, JALBTCX 14th Annual workshop. Mobile, AL, 2013.
S. Pe'eri, Morgan, L. V., Philpot, W. D., and Armstrong, A. A., Shoreline mapping resolved from airborne LIDAR bathymetry (ALB) waveforms., Journal of Coastal Research, Special Issue: Applied LIDAR Techniques, vol. 62. Coastal Education & Research Foundation, Inc. [CERF], West Palm Beach, FL, USA, pp. 75-85, 2011.
S. Pe'eri and Gardner, J. V., Evaluation of Airborne LIDAR Bathymetry (ALB) in Sub-tidal Coastal Environments, Joint Airborne LIDAR Bathymetry Technical Center of Expertise Coastal Mapping and Charting Workshop (JALBTCX). Portland, OR, USA, 2009.
S. Pe'eri, Tibor, G., Madore, B., Illin, V., Ben-Avraham, Z., Rilov, G., Ketter, T., and Dijkstra, J. A., Seafloor characterization and monitoring of the inner shelf in northern Israel using remote sensing, Ocean Optics XXII. Portland, ME, 2014.
S. Pe'eri, Satellite-Derived Bathymetry as a Reconnaissance Tool for Hydrography, Hydro International, vol. 17(7). pp. 16-19, 2013.PDF icon Peeri_et_al_2013_Hydro_Int.pdf (1.22 MB)
S. Pe'eri, Evaluation of Airborne LIDAR Bathymetry (ALB) in Sub Tidal Coastal Environments, GeoTech. Silver Springs, MD, USA, 2009.
S. Pe'eri, Philpot, W. D., Guenther, G., and Gardner, J. V., Shoreline Mapping Using LIDAR Red-channel Waveforms, American Geophysical Union (AGU). San Francisco, CA, USA, 2006.
S. Pe'eri, Morrison, J. R., Frederick, S., Mathieson, A., and Lippmann, T. C., Eelgrass and Macroalgal Mapping to Develop Nutrient Criteria in New Hampshire's Estuaries Using Hyperspectral Imagery, Journal of Coastal Research, vol. SI76. pp. 209-218, 2016.PDF icon Peeri_et_al_JCR_2016_si76-018.pdf (3.62 MB)
S. Pe'eri, Gardner, J. V., and Ward, L. G., Validating coastal flooding models using ALB-derived shorelines, Canadian Hydrographic Conference. 2008.

Pages