Relevant bibliographies by topics / Oceanographic radars

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Oceanographic radars'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Oceanographic radars"

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Emery, Brian, Anthony Kirincich, and Libe Washburn. "Direction Finding and Likelihood Ratio Detection for Oceanographic HF Radars." Journal of Atmospheric and Oceanic Technology 39, no. 2 (February 2022): 223–35. http://dx.doi.org/10.1175/jtech-d-21-0110.1.

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Abstract Previous work with simulations of oceanographic high-frequency (HF) radars has identified possible improvements when using maximum likelihood estimation (MLE) for direction of arrival; however, methods for determining the number of emitters (here defined as spatially distinct patches of the ocean surface) have not realized these improvements. Here we describe and evaluate the use of the likelihood ratio (LR) for emitter detection, demonstrating its application to oceanographic HF radar data. The combined detection–estimation methods MLE-LR are compared with multiple signal classification method (MUSIC) and MUSIC parameters for SeaSonde HF radars, along with a method developed for 8-channel systems known as MUSIC-Highest. Results show that the use of MLE-LR produces similar accuracy, in terms of the RMS difference and correlation coefficients squared, as previous methods. We demonstrate that improved accuracy can be obtained for both methods, at the cost of fewer velocity observations and decreased spatial coverage. For SeaSondes, accuracy improvements are obtained with less commonly used parameter sets. The MLE-LR is shown to be able to resolve simultaneous closely spaced emitters, which has the potential to improve observations obtained by HF radars operating in complex current environments. Significance Statement We identify and test a method based on the likelihood ratio (LR) for determining the number of signal sources in observations subject to direction finding with maximum likelihood estimation (MLE). Direction-finding methods are used in broad-ranging applications that include radar, sonar, and wireless communication. Previous work suggests accuracy improvements when using MLE, but suitable methods for determining the number of simultaneous signal sources are not well known. Our work shows that the LR, when combined with MLE, performs at least as well as alternative methods when applied to oceanographic high-frequency (HF) radars. In some situations, MLE and LR obtain superior resolution, where resolution is defined as the ability to distinguish closely spaced signal sources.
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Zhu, Langfeng, Fan Yang, Yufan Yang, Zhaomin Xiong, and Jun Wei. "Designing Theoretical Shipborne ADCP Survey Trajectories for High-Frequency Radar Based on a Machine Learning Neural Network." Applied Sciences 13, no. 12 (June 16, 2023): 7208. http://dx.doi.org/10.3390/app13127208.

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A machine learning neural network-based design for shipborne ADCP navigation is proposed to improve the quality of high-frequency radar measurements. In traditional inversion algorithms for HF radars, sea surface velocity is directly extracted from electromagnetic echoes without constraints from oceanographic processes. Hence, we incorporated oceanographic information from observational data into seabed radar inversion results via an LSTM neural network model to enhance data accuracy. Through a series of numerical simulation experiments, we showed improved data accuracy and feasibility by incorporating both fixed-point and navigation observational data. The results indicate a significant reduction in (related) errors. This study has implications for guiding future navigation observations.
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Washburn, Libe, Eduardo Romero, Cyril Johnson, Brian Emery, and Chris Gotschalk. "Measurement of Antenna Patterns for Oceanographic Radars Using Aerial Drones." Journal of Atmospheric and Oceanic Technology 34, no. 5 (May 2017): 971–81. http://dx.doi.org/10.1175/jtech-d-16-0180.1.

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AbstractA new method is described employing small drone aircraft for antenna pattern measurements (APMs) of high-frequency (HF) oceanographic radars used for observing ocean surface currents. Previous studies have shown that accurate surface current measurements using HF radar require APMs. The APMs provide directional calibration of the receive antennas for direction-finding radars. In the absence of APMs, so-called ideal antenna patterns are assumed and these can differ substantially from measured patterns. Typically, APMs are obtained using small research vessels carrying radio signal sources or transponders in circular arcs around individual radar sites. This procedure is expensive because it requires seagoing technicians, a vessel, and other equipment necessary to support small-boat operations. Furthermore, adverse sea conditions and obstacles in the water can limit the ability of small vessels to conduct APMs. In contrast, it is shown that drone aircraft can successfully conduct APMs at much lower cost and in a broader range of sea states with comparable accuracy. Drone-based patterns can extend farther shoreward, since they are not affected by the surfzone, and thereby expand the range of bearings over which APMs are determined. This simplified process for obtaining APMs can lead to more frequent calibrations and improved surface current measurements.
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Ilcev, Dimov Stojce. "Introduction to Coastal HF Maritime Surveillance Radars." Polish Maritime Research 26, no. 3 (September 1, 2019): 153–62. http://dx.doi.org/10.2478/pomr-2019-0056.

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Abstract This paper presents the main technical characteristics and working performances of coastal maritime surveillance radars, such as low-power High-Frequency Surface Wave Radars (HFSWR) and Over the Horizon Radars (OTHR). These radars have demonstrated to be a cost-effective long-range early-warning sensor for ship detection and tracking in coastal waters, sea channels and passages. In this work, multi-target tracking and data fusion techniques are applied to live-recorded data from a network of oceanographic HFSWR stations installed in Jindalee Operational Radar Network (JORN), Wellen Radar (WERA) in Ligurian Sea (Mediterranean Sea), CODAR Ocean Sebsorsin and in the German Bight (North Sea). The coastal Imaging Sciences Research (ISR) HFSWR system, Multi-static ISR HF Radar, Ship Classification using Multi-Frequency HF Radar, Coastal HF radar surveillance of pirate boats and Different projects of coastal HF radars for vessels detecting are described. Ship reports from the Automatic Identification System (AIS), recorded from both coastal and satellite Land Earth Stations (LES) are exploited as ground truth information and a methodology is applied to classify the fused tracks and to estimate system performances. Experimental results for all above solutions are presented and discussed, together with an outline for future integration and infrastructures.
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Emery, Brian, and Libe Washburn. "Uncertainty Estimates for SeaSonde HF Radar Ocean Current Observations." Journal of Atmospheric and Oceanic Technology 36, no. 2 (February 1, 2019): 231–47. http://dx.doi.org/10.1175/jtech-d-18-0104.1.

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Abstract HF radars typically produce maps of surface current velocities without estimates of the measurement uncertainties. Many users of HF radar data, including spill response and search and rescue operations, incorporate these observations into models and would thus benefit from quantified uncertainties. Using both simulations and coincident observations from the baseline between two operational SeaSonde HF radars, we demonstrate the utility of expressions for estimating the uncertainty in the direction obtained with the Multiple Signal Classification (MUSIC) algorithm. Simulations of radar backscatter using surface currents from the Regional Ocean Modeling System show a close correspondence between direction of arrival (DOA) errors and estimated uncertainties, with mean values of 15° at 10 dB, falling to less than 3° at 30 dB. Observations from two operational SeaSondes have average DOA uncertainties of 2.7° and 3.8°, with a fraction of the observations (10.5% and 7.1%, respectively) having uncertainties of >10°. Using DOA uncertainties for data quality control improves time series comparison statistics between the two radars, with r2=0.6 increasing to r2=0.75 and RMS difference decreasing from 15 to 12 cm s−1. The analysis illustrates the major sources of error in oceanographic HF radars and suggests that the DOA uncertainties are suitable for assimilation into numerical models.
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Chernyshov, Pavel, Katrin Hessner, Andrey Zavadsky, and Yaron Toledo. "On the Effect of Interferences on X-Band Radar Wave Measurements." Sensors 22, no. 10 (May 18, 2022): 3818. http://dx.doi.org/10.3390/s22103818.

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X-band radars are in growing use for various oceanographic purposes, providing spatial real-time information about sea state parameters, surface elevations, currents, and bathymetry. Therefore, it is very appealing to use such systems as operational aids to harbour management. In an installation of such a remote sensing system in Haifa Port, consistent radially aligned spikes of brightness randomly distributed with respect to azimuth were identified. These streak noise patterns were found to be interfering with the common approach of oceanographic analysis. Harbour areas are regularly frequented with additional electromagnetic transmissions from other ship and land-based radars, which may serve as a source of such interference. A new approach is proposed for the filtering of such undesirable interference patterns from the X-band radar images. It was verified with comparison to in-situ measurements of a nearby wave buoy. Regardless of the actual source of the corresponding pseudo-wave energy, it was found to be crucial to apply such filtration in order to improve the performance of the standard oceanographic parameter retrieval algorithm. This results in better estimation of the mean sea state parameters towards lower values of the significant wave height. For the commercial WaMoSII system this enhancement was clearly apparent in the improvement of the built-in quality control criteria marks. The developed prepossessing procedure improves the robustness of the directional spectra estimation practically eliminating pseudo-wave energy components. It also extends the system’s capability to measure storm events earlier on, a fact that is of high importance for harbour operational decision making.
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Horstmann, Jochen, Jan Bödewadt, Ruben Carrasco, Marius Cysewski, Jörg Seemann, and Michael Streβer. "A Coherent on Receive X-Band Marine Radar for Ocean Observations." Sensors 21, no. 23 (November 25, 2021): 7828. http://dx.doi.org/10.3390/s21237828.

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Marine radars are increasingly popular for monitoring meteorological and oceanographic parameters such as ocean surface wind, waves and currents as well as bathymetry and shorelines. Within this paper a coherent on receive marine radar is introduced, which is based on an incoherent off the shelf pulsed X-band radar. The main concept of the coherentization is based on the coherent on receive principle, where the coherence is achieved by measuring the phase of the transmitted pulse from a leak in the radar circulator, which then serves as a reference phase for the transmitted pulse. The Doppler shift frequency can be computed from two consecutive pulse-pairs in the time domain or from the first moment of the Doppler spectrum inferred by means of a short time Fast Fourier Transform. From the Doppler shift frequencies, radial speed maps of the backscatter of the ocean surface are retrieved. The resulting backscatter intensity and Doppler speed maps are presented for horizontal as well as vertical polarization, and discussed with respect to meteorological and oceanographic applications.
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Kaeppler, Stephen R., Ethan S. Miller, Daniel Cole, and Teresa Updyke. "On the use of high-frequency surface wave oceanographic research radars as bistatic single-frequency oblique ionospheric sounders." Atmospheric Measurement Techniques 15, no. 15 (August 10, 2022): 4531–45. http://dx.doi.org/10.5194/amt-15-4531-2022.

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Abstract. We demonstrate that bistatic reception of high-frequency oceanographic radars can be used as single-frequency oblique ionospheric sounders. We develop methods that are agnostic of the software-defined radio system to estimate the group range from the bistatic observations. The group range observations are used to estimate the virtual height and equivalent vertical frequency at the midpoint of the oblique propagation path. Uncertainty estimates of the virtual height and equivalent vertical frequency are presented. We apply this analysis to observations collected from two experiments run at two locations in different years, but utilizing similar software-defined radio data collection systems. In the first experiment, 10 d of data were collected in March 2016 at a site located in Maryland, USA, while the second experiment collected 20 d of data in October 2020 at a site located in South Carolina, USA. In both experiments, three Coastal Oceanographic Dynamics and Applications Radars (CODARs) located along the Virginia and North Carolina coast of the US were bistatically observed at 4.53718 MHz. The virtual height and equivalent virtual frequency were estimated in both experiments and compared with contemporaneous observations from a vertical incident digisonde–ionosonde at Wallops Island, VA, USA. We find good agreement between the oblique CODAR-derived and WP937 digisonde virtual heights. Variations in the virtual height from the CODAR observations and the digisonde are found to be nearly in phase with each other. We conclude from this investigation that observations of oceanographic radar can be used as single-frequency oblique incidence sounders. We discuss applications with respect to investigations of traveling ionospheric disturbances, studies of day-to-day ionospheric variability, and using these observations in data assimilation.
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He, Shuqin, Hao Zhou, Yingwei Tian, and Wei Shen. "Ionospheric Clutter Suppression with an Auxiliary Crossed-Loop Antenna in a High-Frequency Radar for Sea Surface Remote Sensing." Journal of Marine Science and Engineering 9, no. 11 (October 23, 2021): 1165. http://dx.doi.org/10.3390/jmse9111165.

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Ionospheric clutter is one of the main problems for high-frequency surface wave radars (HFSWRs), as it severely interferes with sea surface state monitoring and target detection. Although a number of methods exist for ionospheric clutter suppression, most are suitable for radars with a large-sized array and are inefficient for small-aperture radars. In this study, we added an auxiliary crossed-loop antenna to the original compact radar antenna, and used an adaptive filter to suppress the ionospheric clutter. The experimental results of the HFSWRs data indicated that the suppression factor of the ionospheric clutter was up to 20 dB. Therefore, the Bragg peaks that were originally submerged by the ionospheric clutters could be recovered, and the gaps in the current maps can, to a large extent, be filled. For an oceanographic radar, the purpose of suppressing ionospheric clutter is to extract an accurate current speed; the radial current fields that were generated by our method showed an acceptable agreement with those generated by GlobCurrent data. This result supports the notion that the ionospheric suppression technique does not compromise the estimation of radial currents. The proposed method is particularly efficient for a compact HFSWRs, and can also be easily used in other types of antennas.
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Emery, Brian M. "Evaluation of Alternative Direction-of-Arrival Methods for Oceanographic HF Radars." IEEE Journal of Oceanic Engineering 45, no. 3 (July 2020): 990–1003. http://dx.doi.org/10.1109/joe.2019.2914537.

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Dissertations / Theses on the topic "Oceanographic radars"

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Domps, Baptiste. "Identification et détection de phénomènes transitoires contenus dans des mesures radar à faible rapport signal à bruit : Applications conjointes aux problématiques océanographique et atmosphérique." Electronic Thesis or Diss., Toulon, 2021. http://www.theses.fr/2021TOUL0001.

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L'observation de la dynamique de l'atmosphère et de la surface de l'océan peut être réalisée par télédétection radar. L'approche habituelle consiste, dans les deux cas, à calculer numériquement le spectre Doppler des échos temporels reçus à l'aide d'une transformée de Fourier discrète. Bien que satisfaisante pour la plupart des applications, cette méthode ne convient pas pour l'observation de phénomènes transitoires, plus courts que le temps d'intégration nécessaire à l'observation radar. Nous utilisons une technique alternative, basée sur une représentation autorégressive des séries temporelles radar et associée à la méthode dite à entropie maximale. Cette approche est appliquée à la mesure de courants de surface par radar côtier dans la bande des hautes fréquences, puis à celle de vent dans la basse atmosphère par radar en bande L. Dans les deux situations, nous montrons à l'aide de simulations numériques, de comparaisons avec d'autres instruments et d'études de cas que l'approche proposée conduit à des estimations fiables des grandeurs géophysiques (courants marins et vitesses de vent) pour des temps d'intégration brefs, là où la méthode conventionnelle échoue
Observations of atmospheric and ocean surface dynamics can be performed via radar remote sensing. The usual approach consists, in both cases, in numerically calculating the Doppler spectrum of the received temporal echoes using a discrete Fourier transform. Although satisfactory for most applications, this method is not suitable for observations of transient phenomena due to being shorter than the integration time required for radar observations. We use an alternative technique based on an autoregressive representation of the radar time series combined with the maximum entropy method. This approach is applied to coastal radar measurements of surface currents in the high frequency band as well as to L-band radar measurements of wind in the lower atmosphere. For both cases, through numerical simulations and case studies, we compare our approach with others that use different instruments. We show that for short integration times, where conventional methods fail, our proposed approach leads to reliable estimates of geophysical quantities (ocean currents and wind speeds)
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McGregor, J. A. "HF radar oceanography." Thesis, University of Canterbury. Physics, 1985. http://hdl.handle.net/10092/7578.

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The development of a 26MHz pulsed Doppler radar system for remote sensing of ocean surface conditions is described. This radar obtains Doppler spectra of echoes from ocean waves within the range 10-40 km from the shore. From these Doppler spectra it is possible to estimate oceanographic parameters such as sea state, wind speed, wind direction, radial components of current velocities and properties of swell. The work concentrates on the radar design principles and includes a detailed study of the effect of ground wave propagation conditions on the performance of radar systems of this type. Results obtained with the radar are discussed from the points of view of both the performance of the system and the oceanographic information contained in the Doppler spectra.
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Middleditch, Andrew. "Spectral analysis in high frequency radar oceanography." Thesis, University of Sheffield, 2006. http://etheses.whiterose.ac.uk/3590/.

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High Frequency radar systems provide a unique opportunity to measure evolving littoral oceanic dynamics at high temporal and spatial resolution. Backscattered electromagnetic signals from ocean waves are modulated by Bragg resonant scattering. A perturbation analysis yields an expression for the spectral content of radar signals which can be exploited to provide estimates of oceanographic parameters: the radial component of surface current can be extracted from the frequency locations of the first order peaks; the ocean wave directional spectrum is related to the second order continuum via a non-linear integral equation. The periodogram, based on a Fourier decomposition of radax data, is the standard method used to derive frequency spectra. Limitations in this approach, caused by inhomogeneities in the underlying ocean field, are investigated. An instantaneous frequency technique is proposed in this thesis which mitigates the spectral distortion by demodulating the backscattered radax signals -a filtering procedure is developed which measures the temporally varying Bragg components. Alternative spectral techniques are analysed in order to validate the filter: an autoregressive paxa, metric modelling approach and an eigendecomposition method. The filter is evaluated, using radar and in situ data, which establishes its potential for ocean remote sensing. Significant improvements in the quantity and accuracy of wave measurements are demonstrated. Properties and constraints of the filter are derived using simulated data. Finally, the generic structure of the extracted instantaneous frequency signals is investigated and related to oceanographic processes.
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Gommenginger, Christine Pascale. "On the applicability of a conventional microwave marine radar system to quantitative measurements of the ocean surface roughness and oceanographic applications." Thesis, University of Southampton, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241939.

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Castaneda, Julian Jose. "Modelling and measuring (by H.F. radar) dispersion in the coastal zone." Thesis, University of Southampton, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241137.

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Schilperoort, Daniel E. "The effect of the Agulhas Current on synthetic aperture radar derived wind fields." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/22952.

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In this study, 5 years (987 swaths) of high resolution wind speeds, derived from Advanced Synthetic Aperture Radar data collected over the Agulhas Current region, are studied to investigate the effect of warm, high intensity currents on the ocean's surface roughness and resulting derived wind fields. The wind data are derived using the CMOD5.n GMF with CFS reanalysis wind data as direction input. The CFS direction data are validated using ASCAT derived wind observations Globcurrent ocean current velocity data is used to investigate the difference between the satellite derived wind speeds compared to surface velocities of the current and the true wind speed. The, so called, current-relative effect is investigated for different wind direction regimes, namely: upcurrent, downcurrent, crosscurrent west and crosscurrent east. Our analyses are conducted for 6 locations of interest, evenly spaced along the Northern Agulhas Current. MODIS, SEVIRI and OSTIA SST data are used as proxy for locating the core of the Agulhas and it's temperature fronts, as well as to investigate wind speed modifications as a result of ocean-atmosphere energy transfer. It is found that higher resolution SAR derived winds have a greater ability to represent higher intensity and smaller scale wind features in comparison to winds derived from Scatterometers. A combination of the current relative effect and SST-atmospheric heating for upcurrent wind directions results in a sharp increase in mean wind speeds over the inshore boundary of the current of between 5m/s and 7m/s (50−60%). Individual events can reach as high as 15m/s (100%) over 10′s of kilometres. For downcurrent winds, the expected current relative effect is overridden by increased wind speeds of up to 5m/s (40%) across the entire current due to the influence of SSTs. The mean effect of SSTs on wind speeds has a stronger effect than the current relative effect on wind speed changes over the current. The wind speed differences are best represented under moderate wind speeds, between 5−15m/s. This investigation will contribute to future satellite wind speed derivations to identifying new wind speed and surface roughness altering effects. It will also serve to increase understanding of high resolution wind features and sharp changes over ocean features.
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Ocampo, Torres Francisco Javier. "The effects of wind wave directionality on the radar imaging of ocean swell." Thesis, University of Southampton, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280827.

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Marom, Moshe. "Interferometric SAR imaging of ocean surface currents and wavefields." Thesis, Monterey, Calif. : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA239312.

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Dissertation (Ph.D. in Physical Oceanography)--Naval Postgraduate School, June 1990.
Dissertation supervisor: Thornton, E.B. "June 1990." Description based on title screen as viewed on 19 October 2009. DTIC Identifiers: INSAR (INTERFEROMETRIC SAR). Author(s) subject terms: Interferometric SAR, scene coherence time, 2D wavenumber spectra, surface currents. Includes bibliographical references (p. 192-198). Also available in print.
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Greenwood, Andrew D. "Azimuth modulation of the radar backscatter at near-normal incidence /." Diss., CLICK HERE for online access, 1995. http://contentdm.lib.byu.edu/ETD/image/etd5.pdf.

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Smith, Justin Dewitt. "Studies to improve estimation of the electromagnetic bias in radar altimetry /." Diss., CLICK HERE for online access, 1999. http://contentdm.lib.byu.edu/ETD/image/etd17.pdf.

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Books on the topic "Oceanographic radars"

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Hess, F. R. An inexpensive radar-responding relocation device for drifting oceanographic instruments. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1985.

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Hess, F. R. An inexpensive radar-responding relocation device for drifting oceanographic instruments. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1985.

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Krabill, William B. Airborne lidar experiments at Savannah River plant. Greenbelt, Md: Goddard Space Flight Center, 1987.

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R, Jackson Christopher, Apel John R, and United States. Dept. of Commerce., eds. Synthetic aperture radar: Marine user's manual. Washington, D.C: U.S. Dept. of Commerce, 2004.

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Laboratory, Wave Propagation, ed. Coastal ocean dynamics applications radar: A user's guide. Boulder, Colo: U.S. Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1985.

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Karlin, L. N., and A. V. Dikinis. Atlas annotirovannykh radiolokat︠s︡ionnykh izobrazheniĭ morskoĭ poverkhnosti, poluchennykh kosmicheskim apparatom "Almaz-1". Moskva: GEOS, 1999.

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Bunkin, A. F. Laser remote sensing of the ocean: Methods and applications. New York: John Wiley, 2001.

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Downing, George C. Evaluation of vertical motion sensors for potential application to heave correction in Corps hydrographic surveys. Vicksburg, Miss: US Army Corps of Engineers, Hydraulics Laboratory, 1987.

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J, Wilson James, Oliver Charles W, and Environmental Technology Laboratory (Environmental Research Laboratories), eds. Evaluation of the capability of the experimental oceanographic fisheries lidar (FLOE) for tuna detection in the eastern tropical Pacific. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Environmental Technology Laboratory, 1998.

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Dickerman, Ronald L. Detection of shoals in SEASAT synthetic aperture radar imagery: Selected case studies. Monterey, Calif: Naval Postgraduate School, 1985.

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Book chapters on the topic "Oceanographic radars"

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Guymer, Trevor H. "Measuring Ocean Waves with Altimeters and Synthetic Aperture Radars." In Microwave Remote Sensing for Oceanographic and Marine Weather-Forecast Models, 65–97. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0509-2_4.

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Vespe, Michele, Monica Posada, Guido Ferraro, and Harm Greidanus. "Perspectives on Oil Spill Detection Using Synthetic Aperture Radar." In Oceanography from Space, 131–45. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8681-5_8.

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Mourad, P. D. "Footprints of Atmospheric Phenomena in Synthetic Aperture Radar Images of the Ocean Surface: A Review." In Atmospheric and Oceanographic Sciences Library, 269–90. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9291-8_11.

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Kanareykin, Dimitrij B., Boris Sh Lande, Yurij A. Melnik, Aleksander V. Ryzhkov, Vladimir D. Stepanenko, Sergeij Yu Matrosov, and Arkadij B. Shupyatsky. "Applying the Polarization Selection Techniques to Meteorologic and Oceanographic Radar Remote Sensing (Review of Soviet Studies)." In Direct and Inverse Methods in Radar Polarimetry, 61–83. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-010-9243-2_4.

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Fu, Lee-Lueng, and Ernesto Rodriguez. "High-resolution measurement of ocean surface topography by radar interferometry for oceanographic and geophysical applications." In Geophysical Monograph Series, 209–24. Washington, D. C.: American Geophysical Union, 2004. http://dx.doi.org/10.1029/150gm17.

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Paduan, Jeffrey D. "Oceanographic applications of high-frequency (HF) radar backscatter." In Ocean Remote Sensing Technologies: High frequency, marine and GNSS-based radar, 41–58. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/sbra537e_ch2.

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Dankert, H., J. Horstmann, H. Günther, and W. Rosenthal. "Measurement of wave groups using radar-image sequences." In Elsevier Oceanography Series, 115–21. Elsevier, 2003. http://dx.doi.org/10.1016/s0422-9894(03)80020-x.

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Wyatt, Lucy R., J. Jim Green, Lesley A. Binks, Mike Moorhead, and Martin Holt. "Performance of the PISCES HF radar during the DEFRA trials." In Elsevier Oceanography Series, 161–67. Elsevier, 2003. http://dx.doi.org/10.1016/s0422-9894(03)80027-2.

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Lehner, S., J. Horstmann, and C. Hasager. "High-resolution wind fields from synthetic aperture radars and numerical models for offshore wind farming." In Elsevier Oceanography Series, 450–57. Elsevier, 2003. http://dx.doi.org/10.1016/s0422-9894(03)80072-7.

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Izquierdo, P., C. Guedes Soares, and J. B. Fontes. "Monitoring of waves with X-band radar in the port of Sines." In Elsevier Oceanography Series, 154–60. Elsevier, 2003. http://dx.doi.org/10.1016/s0422-9894(03)80026-0.

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Conference papers on the topic "Oceanographic radars"

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Washburn, Libe, Eduardo Romero, Cyril Johnson, Chris Gotschalk, and Brian Emery. "Antenna calibration for oceanographic radars using aerial drones." In 2016 IEEE Conference on Antenna Measurements & Applications (CAMA). IEEE, 2016. http://dx.doi.org/10.1109/cama.2016.7815751.

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Emery, Brian M., and Libe Washburn. "Improved direction of arrival methods for oceanographic HF radars." In 2016 IEEE Conference on Antenna Measurements & Applications (CAMA). IEEE, 2016. http://dx.doi.org/10.1109/cama.2016.7815813.

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Barrick, Donald, and William Rector. "Call sign specifically optimized for FMCW HF oceanographic radars." In OCEANS 2016 MTS/IEEE Monterey. IEEE, 2016. http://dx.doi.org/10.1109/oceans.2016.7761448.

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Maresca, Salvatore, Paolo Braca, Raffaele Grasso, Jochen Horstmann, and Joerg Seemann. "Oceanographic HF surface-wave radars for maritime surveillance in the German Bight." In OCEANS 2014 - TAIPEI. IEEE, 2014. http://dx.doi.org/10.1109/oceans-taipei.2014.6964584.

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Atwater, Daniel, Alessandra Mantovanelli, Arnstein Prytz, Sven Rehder, and Lucy Wyatt. "Operational requirements for oceanographic ground-wave HF radars: Experiences from the Australian Coastal Ocean Radar Network." In 2013 International Conference on Radar. IEEE, 2013. http://dx.doi.org/10.1109/radar.2013.6651971.

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Guerin, Charles-Antoine, Dylan Dumas, Anthony Gramoulle, Celine Quentin, Marc Saillard, and Anne Molcard. "The multistatic oceanographic HF radar network in Toulon." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171401.

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Barrick, Don, Chad Whelan, and Jack Harlan. "Oceanographic radar timing stability required for new ITU spectral allocations." In 2013 MTS/IEEE OCEANS. IEEE, 2013. http://dx.doi.org/10.1109/oceans-bergen.2013.6608136.

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Wyatt, L. R. "New developments in HF radar measurement of ocean waves." In 6th International Conference on Electronic Engineering in Oceanography. IEE, 1994. http://dx.doi.org/10.1049/cp:19940591.

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Trockel, D., I. Rodriguez-Alegre, D. Barrick, C. Whelan, J. F. Vesesky, and H. Roarty. "Mitigation of Offshore Wind Turbines on High-Frequency Coastal Oceanographic Radar." In OCEANS 2018 MTS/IEEE Charleston. IEEE, 2018. http://dx.doi.org/10.1109/oceans.2018.8604609.

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Hartoko, Agus. "Sea Surface Height Spatial Models of Radar Altimetry for Oceanographic Phenomena Analysis." In 2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2023. http://dx.doi.org/10.1109/apsar58496.2023.10389064.

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Reports on the topic "Oceanographic radars"

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Graber, Hans C., and Jeffrey D. Paduan. Workshop on Hf Radars for Coastal Oceanography. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada626207.

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Kelly, Robert D., and Gabor Vali. Coastal Meteorology and Oceanography with Airborne 95 GHz Radar. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada336790.

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Sikora, Todd D., George S. Young, and Nathaniel S. Winstead. Applications of Synthetic Aperture Radar to Meteorology and Oceanography Command Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531293.

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Sikora, Todd D., George S. Young, and Nathaniel S. Winstead. Applications of Synthetic Aperture Radar to Meteorology and Oceanography Command Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada533584.

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Sikora, Todd D., George S. Young, and Nathaniel S. Winstead. Applications of Synthetic Aperture Radar to Meteorology and Oceanography Command Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada541161.

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Sikora, Todd D., George S. Young, and Nathaniel S. Winstead. Applications of Synthetic Aperture Radar to Meteorology and Oceanography Command Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada541816.

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Sikora, Todd D. Applications of Synthetic Aperture Radar to Meteorology and Oceanography Command Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada541828.

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Sikora, Todd D. Applications of Synthetic Aperture Radar to Meteorology and Oceanography Command Operations. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada570975.

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Sikora, Todd D., George S. Young, and Nathanial S. Winstead. Applications of Synthetic Aperture Radar to Meteorology and Oceanography Command Operations. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada557183.

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Atkinson, Larry P. Oceanography - High Frequency Radar and Ocean Thin Layers, Volume 10, No. 2. Fort Belvoir, VA: Defense Technical Information Center, March 1999. http://dx.doi.org/10.21236/ada361115.

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