Academic literature on the topic 'Ocean mapping'
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Journal articles on the topic "Ocean mapping"
Probyn, Elspeth. "The ocean returns: Mapping a mercurial Anthropocean." Social Science Information 57, no. 3 (August 21, 2018): 386–402. http://dx.doi.org/10.1177/0539018418792402.
Full textStranne, Christian, Larry Mayer, Martin Jakobsson, Elizabeth Weidner, Kevin Jerram, Thomas C. Weber, Leif G. Anderson, Johan Nilsson, Göran Björk, and Katarina Gårdfeldt. "Acoustic mapping of mixed layer depth." Ocean Science 14, no. 3 (June 22, 2018): 503–14. http://dx.doi.org/10.5194/os-14-503-2018.
Full textSmith Menandro, Pedro, and Alex Cardoso Bastos. "Seabed Mapping: A Brief History from Meaningful Words." Geosciences 10, no. 7 (July 16, 2020): 273. http://dx.doi.org/10.3390/geosciences10070273.
Full textOtt, Norbert, and Hans Werner Schenke. "Southern Ocean Mapping Program Restarts." Eos, Transactions American Geophysical Union 88, no. 31 (July 31, 2007): 311. http://dx.doi.org/10.1029/2007eo310003.
Full textVoronovich, Alexander, and Cecile Penland. "Mapping of the ocean wind by ocean acoustic interferometers." Journal of the Acoustical Society of America 128, no. 4 (October 2010): 2302. http://dx.doi.org/10.1121/1.3508092.
Full textSeidov, Dan, Alexey Mishonov, James Reagan, Olga Baranova, Scott Cross, and Rost Parsons. "Regional Climatology of the Northwest Atlantic Ocean: High-Resolution Mapping of Ocean Structure and Change." Bulletin of the American Meteorological Society 99, no. 10 (October 2018): 2129–38. http://dx.doi.org/10.1175/bams-d-17-0205.1.
Full textFerrini, Vicki. "Assembling the Bathymetric Puzzle to Create a Global Ocean Map." Marine Technology Society Journal 54, no. 3 (May 1, 2020): 13–17. http://dx.doi.org/10.4031/mtsj.54.3.2.
Full textPoto, Margherita Paola, and Elise Johansen. "Modelling Ocean Connectivity." Arctic Review on Law and Politics 12 (2021): 186. http://dx.doi.org/10.23865/arctic.v12.3289.
Full textIssur, Kumari. "Mapping ocean-state Mauritius and its unlaid ghosts: Hydropolitics and literature in the Indian Ocean." Cultural Dynamics 32, no. 1-2 (January 25, 2020): 117–31. http://dx.doi.org/10.1177/0921374019900703.
Full textMasetti, Giuseppe, Semme Dijkstra, Rochelle Wigley, and Tyanne Faulkes. "Introducing programming to ocean mapping students." International Hydrographic Review 28 (November 1, 2022): 108–20. http://dx.doi.org/10.58440/ihr-28-a13.
Full textDissertations / Theses on the topic "Ocean mapping"
Rikoski, Richard J. (Richard James) 1976. "Delayed stochastic mapping." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/91338.
Full textSmith, Christopher Michael 1969. "Integrating mapping and navigation." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50047.
Full textJakobsson, Martin. "Mapping the Artic Ocean : bathymetry and Pleistoce paleoceanography /." Stockholm : Department of geology and geochemistry, Stockholm university, 2000. http://catalogue.bnf.fr/ark:/12148/cb409769608.
Full textRodriguez-Ortiz, Claudia Doria. "Automated bathymetry mapping using an autonomous surface craft." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/39621.
Full textKim, SungJoon 1970. "Efficient simultaneous localization and mapping algorithms using submap networks." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33448.
Full textIncludes bibliographical references (leaves 215-223).
Autonomous mapping of large-scale environments has been a critical challenge confronting researchers in mobile robotics. This thesis investigates two aspects of the large-scale simultaneous localization and mapping (SLAM) problem: (1) the behavior of the covariance matrix in the Kalman filter solution to the linear Gaussian SLAM problem, and (2) the development of new algorithms for efficient large-scale mapping. The key issue motivating study of the linear Gaussian SLAM problem is to understand the behavior of the uncertainty estimates with time. In this thesis, we provide an analysis of the asymptotic behavior of the full covariance SLAM solution. We present a novel generalized closed-form solution to the single degree-of-freedom SLAM problem (known as the MonoRob problem). We examine the cross correlation behavior for the case of observed and non-observed features, and show that a feature must be repeatedly reobserved for it to become fully correlated with other features. Additionally, we provide a new "tight" lower bound for the map uncertainty for a certain class of the MonoRob problem. The second part of the thesis develops new techniques for attacking the scaling problem in SLAM.
(cont.) The work builds on the Constant Time SLAM (CTS) method developed by Newman and Leonard, which is the first SLAM algorithm to achieve global convergence while maintaining consistent error bounds with an 0(1) growth of complexity for the linear Gaussian SLAM problem. Our work makes four contributions: (1) We describe a new algorithm, termed CTS 2.0, that achieves better performance than CTS while maintaining constant-time performance. (2) We present an alternative subnmap network SLAM algorithm, termed Network Optimized SLAM (NOS), that transfers information across submaps in O(n) time to achieve faster convergence than CTS while maintaining its desirable consistency properties. (3) we provide a theoretical and experimental analysis of CTS, CTS 2.0, and NOS and compare all three algorithms with the full covariance solution. (4) We perform an analysis of the erro:cr metrics for measuring the global uncertainty of a SLAM solution, yielding new insights into the behavior of this type of algorithm.
b y SungJoon Jim.
Ph.D.
Hell, Benjamin. "Mapping bathymetry : From measurement to applications." Doctoral thesis, Stockholms universitet, Institutionen för geologiska vetenskaper, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-57291.
Full textAt the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Manuscript. Paper 3: Submitted.
Kim, Kyung Cheol. "Calibration and validation of high frequency radar for ocean surface current mapping." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FKim.pdf.
Full textRoman, Christopher N. "Self consistent bathymetric mapping from robotic vehicles in the deep ocean." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/39184.
Full textBibliography: p. 119-129.
Obtaining accurate and repeatable navigation for robotic vehicles in the deep ocean is difficult and consequently a limiting factor when constructing vehicle-based bathymetric maps. This thesis presents a methodology to produce self-consistent maps and simultaneously improve vehicle position estimation by exploiting accurate local navigation and utilizing terrain relative Measurements. It is common for errors in the vehicle position estimate to far exceed the errors associated with the acoustic range sensor. This disparity creates inconsistency when an area is imaged multiple times and causes artifacts that distort map integrity. Our technique utilizes small terrain "sub-maps" that can be pairwise registered and used to additionally constrain the vehicle position estimates in accordance with actual bottom topography. A delayed state Kalman filter is used to incorporate these sub-map registrations as relative position measurements between previously visited vehicle locations. The archiving of previous positions in a filter state vector allows for continual adjustment of the sub-map locations. The terrain registration is accomplished using a two dimensional correlation and a six degree of freedom point cloud alignment method tailored for bathymetric data.
(cont.) The complete bathymetric map is then created from the union of all sub-maps that have been aligned in a consistent manner. Experimental results from the fully automated processing of a multibeamn survey over the TAG hydrothermal structure at the Mid-Atlantic ridge are presented to validate the proposed method.
by Christopher N. Roman.
Ph.D.
Dixon, John Patrick. "Found at Sea: Mapping Ships on the Eighteenth-Century Atlantic Ocean." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11696.
Full textJohannsson, Hordur. "Toward lifelong visual localization and mapping." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82350.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 171-181).
Mobile robotic systems operating over long durations require algorithms that are robust and scale efficiently over time as sensor information is continually collected. For mobile robots one of the fundamental problems is navigation; which requires the robot to have a map of its environment, so it can plan its path and execute it. Having the robot use its perception sensors to do simultaneous localization and mapping (SLAM) is beneficial for a fully autonomous system. Extending the time horizon of operations poses problems to current SLAM algorithms, both in terms of robustness and temporal scalability. To address this problem we propose a reduced pose graph model that significantly reduces the complexity of the full pose graph model. Additionally we develop a SLAM system using two different sensor modalities: imaging sonars for underwater navigation and vision based SLAM for terrestrial applications. Underwater navigation is one application domain that benefits from SLAM, where access to a global positioning system (GPS) is not possible. In this thesis we present SLAM systems for two underwater applications. First, we describe our implementation of real-time imaging-sonar aided navigation applied to in-situ autonomous ship hull inspection using the hovering autonomous underwater vehicle (HAUV). In addition we present an architecture that enables the fusion of information from both a sonar and a camera system. The system is evaluated using data collected during experiments on SS Curtiss and USCGC Seneca. Second, we develop a feature-based navigation system supporting multi-session mapping, and provide an algorithm for re-localizing the vehicle between missions. In addition we present a method for managing the complexity of the estimation problem as new information is received. The system is demonstrated using data collected with a REMUS vehicle equipped with a BlueView forward-looking sonar. The model we use for mapping builds on the pose graph representation which has been shown to be an efficient and accurate approach to SLAM. One of the problems with the pose graph formulation is that the state space continuously grows as more information is acquired. To address this problem we propose the reduced pose graph (RPG) model which partitions the space to be mapped and uses the partitions to reduce the number of poses used for estimation. To evaluate our approach, we present results using an online binocular and RGB-Depth visual SLAM system that uses place recognition both for robustness and multi-session operation. Additionally, to enable large-scale indoor mapping, our system automatically detects elevator rides based on accelerometer data. We demonstrate long-term mapping using approximately nine hours of data collected in the MIT Stata Center over the course of six months. Ground truth, derived by aligning laser scans to existing floor plans, is used to evaluate the global accuracy of the system. Our results illustrate the capability of our visual SLAM system to map a large scale environment over an extended period of time.
by Hordur Johannsson.
Ph.D.
Books on the topic "Ocean mapping"
Robert, Kunzig, ed. Mapping the deep. London: Sort Of, 2000.
Find full textMapping the seas. New York: Franklin Watts, 2002.
Find full textKunzig, Robert. Mapping the deep: The extraordinary story of ocean science. New York: Norton, 2000.
Find full textColton, Marie C. OPTOMA Program interim report: The Airborne Ocean Thermal Structure Mapping Project, February, 1983 through February, 1985. Monterey, Calif: Naval Postgraduate School, 1985.
Find full textExclusive, Economic Zone Symposium on Mapping and Research (1991 Portland Or ). Proceedings of the 1991 Exclusive Economic Zone Symposium on Mapping and Research: Working together in the Pacific EEZ. Washington, D.C: U.S. G.P.O., 1992.
Find full textOcean and Coastal Mapping Integration Act: Report (to accompany H.R. 2400) (including cost estimate of the Congressional Budget Office). [Washington, D.C: U.S. G.P.O., 2007.
Find full textOcean and Coastal Mapping Integration Act: Report of the Committee on Commerce, Science, and Transportation on S. 364. Washington: U.S. G.P.O., 2005.
Find full textOcean and Coastal Mapping Integration Act: Report of the Committee on Commerce, Science, and Transportation on S. 2489. Washington: U.S. G.P.O., 2004.
Find full textSuárez, Thomas. Early mapping of the Pacific: The epic story of seafarers, adventurers, and cartographers who mapped the Earth's greatest ocean. Singapore: Periplus, 2004.
Find full textBreaker, Laurence C. Mapping and monitoring large-scale ocean fronts off the California Coast using imagery from the GOES-10 geostationary satellite: July 2000-June 2004. San Diego, CA: Sea Grant College Program, University of California, 2005.
Find full textBook chapters on the topic "Ocean mapping"
Lehman, Jessica. "Mapping." In The Routledge Handbook of Ocean Space, 23–33. London: Routledge, 2022. http://dx.doi.org/10.4324/9781315111643-4.
Full textPautot, Guy. "Investigating France’s EEZ: Mapping and Technology." In Ocean Resources, 49–56. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2131-3_4.
Full textSong, Changhui. "Simultaneous Localization and Mapping." In Encyclopedia of Ocean Engineering, 1–8. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_298-1.
Full textSong, Changhui. "Simultaneous Localization and Mapping." In Encyclopedia of Ocean Engineering, 1706–13. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-10-6946-8_298.
Full textKlepsvik, John O., and Hans Olav Torsen. "Recent Advances in Accurate Underwater Mapping and Inspection Techniques." In Ocean Resources, 171–83. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2133-7_17.
Full textHeier, Oivind. "Signal Processing for Precise Ocean Mapping." In Progress in Underwater Acoustics, 697–705. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_83.
Full textTychsen, John. "Mapping, Evaluation and Exploitation of Resources and Conditions in Danish Domestic Waters." In Ocean Resources, 139–52. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2131-3_11.
Full textLexander, J., O. Steinvall, S. Svensson, T. Claesson, C. Ekstrom, and B. Ericsson. "Underwater Optical Surveying and Mapping — Transferred Research Effort Strengthens Ocean Technology Development." In Ocean Resources, 149–54. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2133-7_15.
Full textPACKARD, T. T. "Oxygen Consumption in the Ocean: Measuring and Mapping with Enzyme Analysis." In Mapping Strategies in Chemical Oceanography, 177–209. Washington, D.C.: American Chemical Society, 1985. http://dx.doi.org/10.1021/ba-1985-0209.ch010.
Full textAndersen, Ole B. "Application of inversion to global ocean tide mapping." In Inverse Methods, 239–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0011782.
Full textConference papers on the topic "Ocean mapping"
Perry, R. "Mapping the exclusive economic zone." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160219.
Full textAbileah, Ron. "Mapping Ocean Currents With IKONOS." In OCEANS 2007 - Europe. IEEE, 2007. http://dx.doi.org/10.1109/oceanse.2007.4302203.
Full textHahn, D., G. Williams, M. Wilcox, and P. Wilcox. "A computerized high resolution underwater ultrasound triangulation mapping system." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160107.
Full textNicosevici, Tudor, and Rafael Garcia. "Online Robust 3D Mapping Using Structure from Motion Cues." In OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean. IEEE, 2008. http://dx.doi.org/10.1109/oceanskobe.2008.4531022.
Full textWilson, Jerry C. "Using Airborne Hydrographic LiDAR To Support Mapping of California's Waters." In OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean. IEEE, 2008. http://dx.doi.org/10.1109/oceanskobe.2008.4530980.
Full textSaito, Kazuyuki, Yuji Nagata, Tatsuya Nakada, and Chieko Taketomi. "High-Resolution Bathymetry Mapping for the Bering Continental Shelf." In 2018 OCEANS - MTS/IEEE Kobe Techno-Ocean (OTO). IEEE, 2018. http://dx.doi.org/10.1109/oceanskobe.2018.8559448.
Full textHammerstad, E., A. Lovik, S. Minde, L. Krane, and M. Steinset. "Field Performance of the Benigraph High-Resolution Multibeam Seafloor Mapping System." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160138.
Full textSawa, Takao, Takura Yanagi, Yoshinori Kusayanagi, Shingo Tsukui, and Akira Yoshida. "Seafloor Mapping by 360 Degree View Camera with Sonar Supports." In 2018 OCEANS - MTS/IEEE Kobe Techno-Ocean (OTO). IEEE, 2018. http://dx.doi.org/10.1109/oceanskobe.2018.8559360.
Full textKiefer, Dale A., Charles A. Atkinson, and Dan Ondercin. "Bio-optical mapping procedure for the North Atlantic Ocean." In Ocean Optics XII, edited by Jules S. Jaffe. SPIE, 1994. http://dx.doi.org/10.1117/12.190059.
Full textHuang, Chen-Fen, T. C. Yang, Jin-Yuan Liu, Tom Burchfield, and Jeff Schindall. "Ocean current mapping using networked distributed sensors." In ADVANCES IN OCEAN ACOUSTICS: Proceedings of the 3rd International Conference on Ocean Acoustics (OA2012). AIP, 2012. http://dx.doi.org/10.1063/1.4765935.
Full textReports on the topic "Ocean mapping"
Milazzo, Damien Michael. Mapping The Brightness Of The Ocean Bottoms. Office of Scientific and Technical Information (OSTI), March 2016. http://dx.doi.org/10.2172/1244323.
Full textWOODS HOLE OCEANOGRAPHIC INSTITUTION MA. Global Acoustic Mapping of Ocean Temperatures (GAMOUT). Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada275777.
Full textSayre, R. G., D. J. Wright, S. P. Breyer, K. A. Butler, K. Van Graafeiland, M. J. Costello, P. T. Harris, et al. A three-dimensional mapping of the ocean based on environmental data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305925.
Full textHagerman, G., and G. Scott. Mapping and Assessment of the United States Ocean Wave Energy Resource. Office of Scientific and Technical Information (OSTI), December 2011. http://dx.doi.org/10.2172/1219363.
Full textJones, Burton H. Bio-Optical Instrumentation for Mapping of the Upper Ocean Using SeaSoar. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada572519.
Full textJacobson, Paul T., George Hagerman, and George Scott. Mapping and Assessment of the United States Ocean Wave Energy Resource. Office of Scientific and Technical Information (OSTI), December 2011. http://dx.doi.org/10.2172/1060943.
Full textVesecky, John F. Mapping of Ocean Surface Currents and Vertical Shear by High Frequency Radar. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada628156.
Full textCarnell, P. E., S. E. Reeves, E. Nicholson, P. Macreadie, D. Ierodiaconou, M. Young, J. Kelvin, et al. Mapping Ocean Wealth Australia: The value of coastal wetlands to people and nature. The Nature Conservancy, November 2019. http://dx.doi.org/10.21153/carnell2019mapping.
Full textKaltenbacher, Eric, David Costello, and Kendall Carder. Compact Optical Imager for Real-time, 3-D Range, Intensity and Fluorescence Mapping of the Ocean Floor. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada612266.
Full textColle, Brian A., Cristina Archer, Dana Veron, Fabrice Verson, Willett Kempton, and Michael Dvorak. Improving atmospheric models for offshore wind resource mapping and prediction using LIDAR, aircraft, and in-ocean observations. Office of Scientific and Technical Information (OSTI), December 2016. http://dx.doi.org/10.2172/1342513.
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