Literatura académica sobre el tema "Ocean bottom – Remote-sensing maps"
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Artículos de revistas sobre el tema "Ocean bottom – Remote-sensing maps"
Frezzotti, Massimo. "Glaciological study in Terra Nova Bay, Antarctica, inferred from remote sensing analysis". Annals of Glaciology 17 (1993): 63–71. http://dx.doi.org/10.1017/s0260305500012623.
Texto completoFrezzotti, Massimo. "Glaciological study in Terra Nova Bay, Antarctica, inferred from remote sensing analysis". Annals of Glaciology 17 (1993): 63–71. http://dx.doi.org/10.3189/s0260305500012623.
Texto completoArnold, S. R., D. V. Spracklen, J. Williams, N. Yassaa, J. Sciare, B. Bonsang, V. Gros et al. "Evaluation of the global oceanic isoprene source and its impacts on marine organic carbon aerosol". Atmospheric Chemistry and Physics Discussions 8, n.º 4 (27 de agosto de 2008): 16445–71. http://dx.doi.org/10.5194/acpd-8-16445-2008.
Texto completode Lavergne, Casimir, Gurvan Madec, Julien Le Sommer, A. J. George Nurser y Alberto C. Naveira Garabato. "On the Consumption of Antarctic Bottom Water in the Abyssal Ocean". Journal of Physical Oceanography 46, n.º 2 (febrero de 2016): 635–61. http://dx.doi.org/10.1175/jpo-d-14-0201.1.
Texto completoHofmann, Andreas F., Peter M. Walz, Hans Thomas, Edward T. Peltzer y Peter G. Brewer. "High-Resolution Topography-Following Chemical Mapping of Ocean Hypoxia by Use of an Autonomous Underwater Vehicle: The Santa Monica Basin Example". Journal of Atmospheric and Oceanic Technology 30, n.º 11 (1 de noviembre de 2013): 2630–46. http://dx.doi.org/10.1175/jtech-d-12-00249.1.
Texto completoSpecht, Cezary, Emilian Świtalski y Mariusz Specht. "Application of an Autonomous/Unmanned Survey Vessel (ASV/USV) in Bathymetric Measurements". Polish Maritime Research 24, n.º 3 (1 de septiembre de 2017): 36–44. http://dx.doi.org/10.1515/pomr-2017-0088.
Texto completoWason, Haneet, Felix Oghenekohwo y Felix J. Herrmann. "Low-cost time-lapse seismic with distributed compressive sensing — Part 2: Impact on repeatability". GEOPHYSICS 82, n.º 3 (1 de mayo de 2017): P15—P30. http://dx.doi.org/10.1190/geo2016-0252.1.
Texto completoBunchuk, A. V. y A. N. Ivakin. "Remote acoustic sensing of manganese nodules on the ocean bottom". Journal of the Acoustical Society of America 95, n.º 5 (mayo de 1994): 2802–3. http://dx.doi.org/10.1121/1.409758.
Texto completoGreene, Chad A. y Preston S. Wilson. "Toward passive acoustic remote sensing of ocean‐bottom gas seeps." Journal of the Acoustical Society of America 127, n.º 3 (marzo de 2010): 1938. http://dx.doi.org/10.1121/1.3384877.
Texto completoReichstetter, Martina, Peter Fearns, Scarla Weeks, Lachlan McKinna, Chris Roelfsema y Miles Furnas. "Bottom Reflectance in Ocean Color Satellite Remote Sensing for Coral Reef Environments". Remote Sensing 7, n.º 12 (9 de diciembre de 2015): 16756–77. http://dx.doi.org/10.3390/rs71215852.
Texto completoTesis sobre el tema "Ocean bottom – Remote-sensing maps"
Baxter, Katrina. "Linking seafloor mapping and ecological models to improve classification of marine habitats : opportunities and lessons learnt in the Recherche Archipelago, Western Australia". University of Western Australia. School of Plant Biology, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0181.
Texto completoUmbert, Ceresuela Marta. "Exploiting the multiscale synergy among ocean variables : application to the improvement of remote sensing salinity maps". Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/321115.
Texto completoRemote sensing imagery of the ocean surface provides a synoptic view of the complex geometry of ocean circulation, which is dominated by mesoscale variability. The signature of filaments and vortices is present in different ocean scalars advected by the oceanic flow. The most probable origin of the observed structures is the turbulent character of ocean currents, and those signatures are persistent over time scales compatible with ocean mesoscale dynamics. At spatial scales of kilometers or more, turbulence is mainly 2D, and a complex geometry, full of filaments and eddies of different sizes, emerges in remote sensing images of surface chlorophyll-a concentration and surface salinity, as well as in other scalars acquired with higher quality such as surface temperature and absolute dynamic topography. The aim of this thesis is to explore and apply mapping methodologies to improve the quality of remote sensing maps in general, but focusing in the case of remotely sensed sea surface salinity (SSS) data. The different methodologies studied in this thesis have been applied with the specific goal of improving surface salinity maps generated from data acquired by the European Space Agency's mission SMOS, the first satellite able to measure soil moisture and ocean salinity from space at a global scale. The first part of this thesis will introduce the characteristics of the operational SMOS Level 2 (L2) SSS products and the classical approaches to produce the best possible SSS maps at Level 3 (L3), namely data filtering, weighted average and Optimal Interpolation. In the course of our research we will obtain a set of recommendations about how to process SMOS data starting from L2 data. A fusion technique designed to exploit the common turbulent signatures between different ocean variables is also explored in this thesis, in what represents a step forward from L3 to Level 4 (L4). This fusion technique is theoretically based on the geometrical properties of advected tracers. Due to the effect of the strong shear in turbulent flows, the spatial structure of tracers inherit some properties of the underlying flow and, in particular, its geometrical arrangement. As a consequence, different ocean variables exhibit scaling properties, similar to the turbulent energy cascade. The fusion method takes a signal affected by noise, data gaps and/or low resolution, and improves it in a geophysically meaningful way. This signal improvement is achieved by using an appropriate data, which is another ocean variable acquired with higher quality, greater spatial coverage and/or finer resolution. A key point in this approach is the assumption of the existence of a multifractal structure in ocean images, and that singularity lines of the different ocean variables coincide. Under these assumptions, the horizontal gradients of both variables, signal and template, can be related by a smooth matrix. The first, simplest approach to exploit such an hypothesis assumes that the relating matrix is proportional to the identity, leading to a local regression scheme. As shown in the thesis, this simple approach allows reducing the error and improving the coverage of the resulting Level 4 product; Moreover, information about the statistical relationship between the two fields is obtained since the functional dependence between signal and template is determined at each point.
Siemes, Kerstin. "Establishing a sea bottom model by applying a multi-sensor acoustic remote sensing approach". Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209381.
Texto completoChapters 4 and 5 are adapted from published work, with permission:
DOI:10.1121/1.3569718 (link: http://asadl.org/jasa/resource/1/jasman/v129/i5/p2878_s1) and
DOI:10.1109/JOE.2010.2066711 (link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5618582&queryText%3Dsiemes)
In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of the Université libre de Bruxelles' products or services.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
Nguyen, Phu Duy. "Physics Based Approach for Seafloor Classification". PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/4060.
Texto completoMuzi, Lanfranco. "Advances in Autonomous-Underwater-Vehicle Based Passive Bottom-Loss Estimation by Processing of Marine Ambient Noise". PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2612.
Texto completoLOUAHALA, SAM. "Signatures spectrales de roches en milieu tempere : valeurs reelles et valeurs percues par le satellite". Paris 7, 1988. http://www.theses.fr/1988PA077109.
Texto completoAbou, Karaki Najib. "Synthese et carte sismotectonique des pays de la bordure orientale de la mediterranee : sismicite du systeme de failles du jourdain-mer morte". Université Louis Pasteur (Strasbourg) (1971-2008), 1987. http://www.theses.fr/1987STR13067.
Texto completoEl, Hourany Roy. "Télédétection du phytoplancton par méthode neuronale : du global au régional, de la composition pigmentaire aux biorégions". Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS095.
Texto completoThis thesis presents a novel approach to analyze and observe the phytoplankton community structure at global and regional scale using satellite data (Ocean colour and Sea surface temperature) and in-situ observations. The approach is based on neural network classification methods, such as Self-Organizing Maps (SOM) trained on a large global database composed of satellite observations collocated with in-situ measurements. First, we developed a method to estimate secondary phytoplankton pigments from satellite measurements in the global ocean. Then we focused our studies on the Mediterranean Sea. Phytoplankton groups (PFTs) were identified from the secondary pigments estimated in the first phase. We then characterized seven bio-regions by clustering annual cycles MLD obtained from Argo floats, SST and Chla by using an advanced SOM. At last, these bio-regions were characterized in terms of PFTs. The methods developed in this thesis allowed us to estimate uncertainties on secondary pigments and PFTs. The applicability of these methods are broad and can be used to investigate other oceanic areas
Diurba, Erin S. "Automated rugosity values from high frequency multibeam sonar data for benthic habitat classification". Thesis, 2007. http://hdl.handle.net/10125/20623.
Texto completoGrandin, Christopher John. "Associating remotely sensed seafloor types with groundfish species in Hecate Strait". Thesis, 2006. http://hdl.handle.net/1828/2087.
Texto completoLibros sobre el tema "Ocean bottom – Remote-sensing maps"
Schlee, John Stevens. Imaging the sea floor. [Washington]: U.S. G.P.O., 1995.
Buscar texto completoBlondel, Philippe. Handbook of seafloor sonar imagery. Chichester, [Eng.]: Wiley published in association with Praxis Pub., 1997.
Buscar texto completoLobkovskiĭ, L. I. Shirokougolʹnoe glubinnoe seĭsmicheskoe profilirovanie dna akvatoriĭ. Moskva: Nauka, 2001.
Buscar texto completoBreaker, 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.
Buscar texto completoCaruso, Michael J. Biweekly maps of wind stress for the North Pacific from the ERS-1 scatterometer, 1992-1995. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1997.
Buscar texto completoBothner, Michael H. Processes influencing the transport and fate of contaminated sediments in the coastal ocean: Boston Harbor and Massachusetts Bay. Reston, Va: U.S. Geological Survey, 2007.
Buscar texto completoComiso, Josefino C. Polar microwave brightness temperatures from Nimbus-7 SMMR: Time series of daily and monthly maps from 1978 to 1987. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.
Buscar texto completoD, Kooker Lawrence, Boyle Michael E y Geological Survey (U.S.), eds. MudScan: PC based sidescan sonar real-time data acquisition logging and display system. [Menlo Park, Ca.?]: U.S. Dept. of the Interior, U.S. Geological Survey ; a [Denver, Colo., 1993.
Buscar texto completoBlondel, Philippe. The Handbook of Sidescan Sonar. Springer, 2014.
Buscar texto completoBlondel, Philippe. The Handbook of Sidescan Sonar. Springer, 2008.
Buscar texto completoCapítulos de libros sobre el tema "Ocean bottom – Remote-sensing maps"
Zheng, Q. "SAR Detection of Ocean Processes and Bottom Topography". En Comprehensive Remote Sensing, 145–96. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-409548-9.10403-8.
Texto completoXu, Qing, Quanan Zheng, Shuangshang Zhang y Xiaofeng Li. "SAR Detection of Ocean Bottom Topography". En Advances in SAR Remote Sensing of Oceans, 147–76. CRC Press, 2018. http://dx.doi.org/10.1201/9781351235822-10.
Texto completoHorning, Ned, Julie A. Robinson, Eleanor J. Sterling, Woody Turner y Sacha Spector. "Wetlands—estuaries, inland wetlands, and freshwater lakes". En Remote Sensing for Ecology and Conservation. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199219940.003.0014.
Texto completoHorning, Ned, Julie A. Robinson, Eleanor J. Sterling, Woody Turner y Sacha Spector. "Marine and coastal environments". En Remote Sensing for Ecology and Conservation. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780199219940.003.0013.
Texto completoActas de conferencias sobre el tema "Ocean bottom – Remote-sensing maps"
Kovalenko, Evgenii O., Igor V. Prokhorov, Andrei A. Sushchenko y Vladimir A. Kan. "Problem of multibeam remote sensing of sea bottom". En XXV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, editado por Gennadii G. Matvienko y Oleg A. Romanovskii. SPIE, 2019. http://dx.doi.org/10.1117/12.2540977.
Texto completoBostater, Charles R. y Tyler Rotkiske. "Influence of bottom depths and bottom types on water surface reflectance". En Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2018, editado por Charles R. Bostater, Stelios P. Mertikas y Xavier Neyt. SPIE, 2018. http://dx.doi.org/10.1117/12.2515669.
Texto completoFerre-Lillo, P., N. Rodriguez-Alvarez, X. Bosch-Lluis, E. Valencia, J. F. Marchan-Hernandez y I. Ramos-Perez A. Camps. "Delay-Doppler Maps study over ocean, land and ice from space". En 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5418190.
Texto completoZavorotny, Valery U. y Alexander G. Voronovich. "GNSS-R delay-Doppler maps of ocean surface at weak winds". En 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127545.
Texto completoFont, J., C. Gabarro, J. Ballabrera, A. Turiel, J. Martinez, M. Umbert, F. Perez et al. "SMOS CP34 soil moisture and ocean salinity maps". En 2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad). IEEE, 2012. http://dx.doi.org/10.1109/microrad.2012.6185236.
Texto completoZhao, Yu y Yan Qiu Chen. "Robust contour model for matching synthetic aperture radar (SAR) images with maps". En Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, editado por Stephen G. Ungar, Shiyi Mao y Yoshifumi Yasuoka. SPIE, 2003. http://dx.doi.org/10.1117/12.467785.
Texto completoCohen, Sagy, Austin Raney, Dinuke Munasinghe, John Galantowicz y G. Robert Brakenridge. "Estimating floodwater depths from flood inundation maps and topography". En Remote Sensing of the Open and Coastal Ocean and Inland Waters, editado por Robert J. Frouin y Hiroshi Murakami. SPIE, 2018. http://dx.doi.org/10.1117/12.2324982.
Texto completoLi, Yan, Jianyu Hu, Jing Li, Bin Fu y Liming Ma. "Optical image modulation above the submarine bottom topography: a case study on the Taiwan Banks, China". En Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, editado por Robert J. Frouin, Yeli Yuan y Hiroshi Kawamura. SPIE, 2003. http://dx.doi.org/10.1117/12.466156.
Texto completoWenxing Ji, Chundi Xiu, Weiqiang Li y Lijun Wang. "Ocean surface target detection and positioning using the spaceborne GNSS-R Delay-Doppler maps". En IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947313.
Texto completoKazama, Yoriko y Tomonori Yamamoto. "Shallow water bathymetry correction using sea bottom classification with multispectral satellite imagery". En Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, editado por Charles R. Bostater, Stelios P. Mertikas, Xavier Neyt y Sergey Babichenko. SPIE, 2017. http://dx.doi.org/10.1117/12.2280305.
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