Relevant bibliographies by topics / Radar remote sensing

Contents

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

Academic literature on the topic 'Radar remote sensing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Radar remote sensing"

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Yatsevich, S., and E. Yatsevich. "CALIBRATION OF RADAR REMOTE SENSING SYSTEMS." Slovak international scientific journal, no. 93 (March 12, 2025): 19–23. https://doi.org/10.5281/zenodo.15011074.

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The paper examines the issues of automatic internal calibration of airborne side-view radars for remote sensing of the Earth's surface such as "Cosmos-1500", "Sich-1", and aircraft systems - "Analog", "MARS". Estimates of measurement errors of quantitative values of the specific effective scattering area of probed surfaces and the results of radar survey of test sites are given.
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Miccinesi, Lapo, Alessandra Beni, and Massimiliano Pieraccini. "UAS-Borne Radar for Remote Sensing: A Review." Electronics 11, no. 20 (2022): 3324. http://dx.doi.org/10.3390/electronics11203324.

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Since the 1950s, radar sensors have been widely used for the monitoring of the earth’s surface. The current radars for remote sensing can be divided into two main categories: Space/aerial-borne and ground-based systems. The unmanned aerial system (UAS) could bridge the gap between these two technologies. Indeed, UAS-borne radars can perform long scans (up to 100/200 m) in a brief time (a few minutes). From the 2010s, the interest in UAS-borne radars has increased in the research community, and it has led to the development of some commercial equipment and more than 150 papers. This review aims
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Chen, Tingting, Jingwen Qi, Min Xu, Liye Zhang, Yu Guo, and Shuaian Wang. "Deployment of Remote Sensing Technologies for Effective Traffic Monitoring." Remote Sensing 15, no. 19 (2023): 4674. http://dx.doi.org/10.3390/rs15194674.

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A rising volume of vessel traffic increases navigation density, which leads to an increasing risk of vessel collisions in navigation channels. Navigation safety issues have been widely studied with the aim of reducing such collisions. Intelligent navigation channels, which involve deploying remote-sensing radars on buoys, are an effective method of tackling vessel collisions. This paper investigates the problem of radar deployment in navigation channels, aiming to expand the radar coverage area and effectively detect vessel locations. A mixed-integer linear programming model is formulated to d
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Anderson, Stuart. "Remote Sensing of the Polar Ice Zones with HF Radar." Remote Sensing 13, no. 21 (2021): 4398. http://dx.doi.org/10.3390/rs13214398.

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Radars operating in the HF band are widely used for over-the-horizon remote sensing of ocean surface conditions, ionospheric studies and the monitoring of ship and aircraft traffic. Several hundreds of such radars are in operation, yet only a handful of experiments have been conducted to assess the prospect of utilizing this technology for the remote sensing of sea ice. Even then, the measurements carried out have addressed only the most basic questions: is there ice present, and can we measure its drift? Recently the theory that describes HF scattering from the dynamic sea surface was extende
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Griffiths, H. D. "Editorial. Remote sensing by radar." IEE Proceedings F Radar and Signal Processing 139, no. 2 (1992): 105. http://dx.doi.org/10.1049/ip-f-2.1992.0013.

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Marzano, Frank S., Errico Picciotti, Mario Montopoli, and Gianfranco Vulpiani. "Inside Volcanic Clouds: Remote Sensing of Ash Plumes Using Microwave Weather Radars." Bulletin of the American Meteorological Society 94, no. 10 (2013): 1567–86. http://dx.doi.org/10.1175/bams-d-11-00160.1.

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Microphysical and dynamical features of volcanic tephra due to Plinian and sub-Plinian eruptions can be quantitatively monitored by using ground-based microwave weather radars. The methodological rationale and unique potential of this remote-sensing technique are illustrated and discussed. Volume data, acquired by ground-based weather radars, are processed to automatically classify and estimate ash particle concentration and fallout. The physical– statistical retrieval algorithm is based on a backscattering microphysical model of fine, coarse, and lapilli ash particles, used within a Bayesian
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Saich, P. "Radar Remote Sensing Applications in China." Photogrammetric Record 18, no. 101 (2003): 84–85. http://dx.doi.org/10.1111/0031-868x.t01-4-00006.

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Woodhouse, I. H. "Radar Remote Sensing of Planetary Surfaces." Photogrammetric Record 21, no. 114 (2006): 183–84. http://dx.doi.org/10.1111/j.1477-9730.2006.00375_4.x.

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Gaddis, Lisa R. "Radar Remote Sensing of Planetary Surfaces." Eos, Transactions American Geophysical Union 83, no. 30 (2002): 328. http://dx.doi.org/10.1029/2002eo000243.

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Kulo, Nedim. "Multisensor Remote Sensing Data Integration." Geodetski glasnik, no. 50 (December 31, 2019): 71–94. http://dx.doi.org/10.58817/2233-1786.2019.53.50.71.

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The integration of remote sensing data involves combining various data to get better information, or more information about an area or phenomenon of interest. When it comes to combining data, it usually refers to multi-hour, multi-resolution or multi-sensor data linking. The subject of multi-sensor data integration is the combining of data collected by different sensors. A common example of this type of integration is the integration of multispectral optical data with radar imagery. Both spectrally different modes of representation complement each other: optical data is ''in charge'' of detail
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Dissertations / Theses on the topic "Radar remote sensing"

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Lemos, Pinto J. de. "Remote sensing in refractive turbulence." Thesis, University of Hull, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381887.

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Ottavianelli, Giuseppe. "Synthetic aperture radar remote sensing for landfill monitoring." Thesis, Cranfield University, 2007. http://hdl.handle.net/1826/1805.

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Despite today’s intensive efforts directed at the recycling and recovery of solid wastes, the controlled disposal of refuse into land remains an important and necessary means of effective waste management. The work presented in this thesis investigates the use of Synthetic Aperture Radar (SAR) data to monitor solid waste landfills. The end-users’ interests vary from detecting the presence of a landfill to more specifically monitoring on-site operations and environmental conditions. Following a general literature review on the application of Earth Observation data for landfill monitoring, the i
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Vizinho, A. "Modern spectral analysis in HF radar remote sensing." Thesis, University of Sheffield, 1998. http://etheses.whiterose.ac.uk/3462/.

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High-Frequency (HF) radar systems are currently used to collect wave data. By applying spectral analysis methods, such as the Fast Fourier Transform (FFT) method, to the radar backscatter from the ocean surface, the so-called Doppler spectrum is calculated, and from this the directional wave spectrum and wave measurements are obtained. Because of the random nature of the ocean surface, spectral measurements are subject to random variability. In order to reduce variability, and hence to obtain relatively precise estimates, each spectrum is usually calculated by averaging a number of FFT estimat
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Vyas, Sarweshwar Prasad. "Radar remote sensing for monitoring sugar beet production." Thesis, University of Nottingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363556.

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Perry, Jonathan Redvers. "The radar remote sensing of oceanic internal waves." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/47220.

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Cao, Siyang. "Radar Sensing Based on Wavelets." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1416996784.

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Mancini, Pierluigi. "The use of polarisation in synthetic aperture radar." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307415.

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Remund, Quinn P. "Multisensor microwave remote sensing in the cryosphere /." Diss., CLICK HERE for online access, 2000. http://contentdm.lib.byu.edu/ETD/image/etd7.pdf.

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Ravichandran, Kulasegaram. "Radar imaging using two-dimensional synthetic aperture radar (SAR) techniques /." abstract and full text PDF (UNR users only), 2007. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1446797.

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Thesis (M.S.)--University of Nevada, Reno, 2007.<br>Library also has microfilm. Ann Arbor, Mich. : ProQuest Information and Learning Company, [2008]. 1 microfilm reel ; 35 mm. Online version available on the World Wide Web.
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Snapir, Boris. "SAR remote sensing of soil Moisture." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9253.

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Synthetic Aperture Radar (SAR) has been identified as a good candidate to provide high-resolution soil moisture information over extended areas. SAR data could be used as observations within a global Data Assimilation (DA) approach to benefit applications such as hydrology and agriculture. Prior to developing an operational DA system, one must tackle the following challenges of soil moisture estimation with SAR: (1) the dependency of the measured radar signal on both soil moisture and soil surface roughness which leads to an ill-conditioned inverse problem, and (2) the difficulty in characteri
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Books on the topic "Radar remote sensing"

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Richards, John A. Remote Sensing with Imaging Radar. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02020-9.

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Mott, Harold. Remote Sensing with Polarimetric Radar. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470079819.

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Shearman, Edwin Douglas Ramsay. Radio, radar and remote sensing. University of London, 2002.

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Takashi, Fujii, and Tetsuo Fukuchi. Laser remote sensing. Taylor & Francis, 2005.

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Soergel, Uwe, ed. Radar Remote Sensing of Urban Areas. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3751-0.

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Kumar, Shashi, Paul Siqueira, Himanshu Govil, and Shefali Agrawal. Spaceborne Synthetic Aperture Radar Remote Sensing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003204466.

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Huadong, Guo, ed. Radar remote sensing applications in China. Taylor & Francis, 2001.

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Soergel, Uwe. Radar remote sensing of urban areas. Springer, 2010.

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Zyl, Jakob Van. Synthetic aperture radar polarimetry. Wiley, 2011.

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Elachi, Charles. Spaceborne radar remote sensing: Applications and techniques. IEEE Press, 1987.

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Book chapters on the topic "Radar remote sensing"

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Drury, S. A. "Radar remote sensing." In Image Interpretation in Geology. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-010-9393-4_7.

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Heron, Malcolm L., William G. Pichel, and Scott F. Heron. "Radar Applications." In Coral Reef Remote Sensing. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-90-481-9292-2_13.

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Raney, Keith. "Radar, Altimeters." In Encyclopedia of Remote Sensing. Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_134.

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Long, David. "Radar, Scatterometers." In Encyclopedia of Remote Sensing. Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_136.

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Souyris, Jean-Claude. "The Physics of Radar Measurement." In Remote Sensing Imagery. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch4.

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Raney, Keith. "Radar, Synthetic Aperture." In Encyclopedia of Remote Sensing. Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_137.

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Moussessian, Alina. "Emerging Technologies, Radar." In Encyclopedia of Remote Sensing. Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_201.

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Tupin, Florence, Jean-Marie Nicolas, and Jean-Claude Souyris. "Models and Processing of Radar Signals." In Remote Sensing Imagery. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch7.

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Heron, Scott F., Malcolm L. Heron, and William G. Pichel. "Thermal and Radar Overview." In Coral Reef Remote Sensing. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-90-481-9292-2_11.

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Richards, John A. "Radar Image Interpretation." In Remote Sensing with Imaging Radar. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02020-9_8.

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Conference papers on the topic "Radar remote sensing"

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Shapiro, Jeffrey H. "Laser Radar System Theory*." In Optical Remote Sensing. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.tub3.

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Coherent laser radars represent a true translation to the optical frequency band of conventional microwave radar concepts. Moreover, the emerging technology of compact CO2 laser radars may be capable of resolving targets in any combination of the modalities of space, angle, range, and velocity. As a result, the development of laser radar system theory as an analytic tool for the design and performance evaluation of such systems must function on a variety of levels. In this paper, three of these levels will be reviewed.
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Eberhard, Wynn L., Janet M. Intrieri, and Graham Feingold. "Lidar and Radar as Partners in Cloud Sensing." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1997. http://dx.doi.org/10.1364/orsa.1997.omb.1.

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Clouds are important to radiative transfer and climate, so information on their structure and microphysics is in great demand. The improving technology of lidars and radars can meet many of these important observational needs. Lidar and radar can individually provide valuable but limited information on cloud properties. An amalgam of measurements by lidar, radar, spectrometer, infrared radiometer, microwave radiometer, and standard meteorological measurements yields a wealth of geometrical, microphysical, and radiative information unattainable by a single instrument (Sassen 1995; Intrieri et a
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Tanelli, Simone, Luca Facheris, Fabrizio Cuccoli, and Dino Giuli. "Tracking radar echoes by multiscale correlation: a nowcasting weather radar application." In Remote Sensing, edited by Sebastiano B. Serpico. SPIE, 1999. http://dx.doi.org/10.1117/12.373261.

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"Remote sensing." In 2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS). IEEE, 2017. http://dx.doi.org/10.1109/mrrs.2017.8075071.

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Rincon, Rafael, Peter Hildebrand, Lawrence Hilliard, et al. "Real-time beamforming synthetic aperture radar." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2006. http://dx.doi.org/10.1117/12.690274.

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Sery, Franck, Kevin O'Donovan, Gordon C. Pryde, Rod Cook, and Andrew M. Horne. "Parallel environment for processing radar data." In Remote Sensing, edited by Francesco Posa. SPIE, 1998. http://dx.doi.org/10.1117/12.331358.

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Kakar, Ramash K. "NASA's Program in LIDAR Remote Sensing." In Coherent Laser Radar. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.tuc1.

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Clemente-Colon, Pablo, Peter C. Manousos, William G. Pichel, and Karen S. Friedman. "Observations of Hurricane Bonnie in spaceborne synthetic aperture radar (SAR) and next-generation Doppler weather radar (NEXRAD)." In Remote Sensing, edited by Jaqueline E. Russell. SPIE, 1999. http://dx.doi.org/10.1117/12.373044.

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Essen, Helmut, Hans-Hellmuth Fuchs, and Anke Pagels. "Radar propagation in coastal environments: Vampira results." In Remote Sensing, edited by Anton Kohnle and Karin Stein. SPIE, 2006. http://dx.doi.org/10.1117/12.693498.

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Kumagai, Hiroshi, Teruaki Orikasa, Yuichi Ohno, Hiroaki Horie, and Toshiyoshi Kimura. "Cloud profiling radar design study for EarthCARE." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2005. http://dx.doi.org/10.1117/12.634370.

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Reports on the topic "Radar remote sensing"

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Harris, J., E. Grunsky, and V. Singhroy. Radar remote sensing. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2008. http://dx.doi.org/10.4095/226013.

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Lhermitte, R. Remote Sensing Using a Ground Based 94 GHZ Radar. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada244937.

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Groeneveld, Davis, and Williams. L51974 Automated Detection of Encroachment Events Using Satellite Remote Sensing. Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0011300.

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As an integral part of the ongoing effort to develop an operational capability of remote sensing based pipeline encroachment monitoring, this investigation focused on the development of automated target detection using synthetic aperture radar (RADARSAT) and optical (QUICKBIRD, EROS) satellite imagery. Specifically, the study aimed at meeting the following objectives: To develop automated target detection algorithms for optical and radar imagery that replicate detection rates obtained through visual image interpretation; To investigate the utility of newly available high-resolution optical sat
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Werle, D. Radar remote sensing for application in forestry: a literature review for investigators and potential users of SAR data in Canada. Natural Resources Canada/CMSS/Information Management, 1989. http://dx.doi.org/10.4095/329188.

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Information provided in this document allows potential users of synthetic aperture radar (SAR) imagery as well as investigators participating in the Canadian Radar Data Development Program (RDDP) to obtain an overview of achievements, limitations and future potential of radar remote sensing for application in forestry, as portrayed in the published literature. Investigations concerned with radar remote sensing and its potential for application in forestry are reviewed. The main focus of these studies was the determination of microwave backscatter characteristics of forestry targets using diffe
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Krehbiel, Paul R., and Grant Gray. Remote Sensing of Precipitation and Electrification With a Dual- Polarization, Coherent, Wideband Radar System. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada259834.

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Robert, Gillian. PR-420-143719-R01 Commercial Remote Sensing and Spatial Information Technology Applications Program. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011508.

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The work described herein is to show the engineering requirements for long term, continuous monitoring of ground movement with satellite radar over a region with natural growth and large variations in ground water. The project provided monitoring of the British Petroleum America Inc. (BP) Olympic pipeline localized to an area of known ground movement in Washington State. This project was part of several projects (ROW-6G, ROW-6D, ROW-3J) that partnered with California Polytechnic University, San Luis Obispo (CalPoly SLO) and Electricore to prepare a white paper that was submitted in response to
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Puestow. L52194 Detection of Third Party Encroachment Using Satellite Based Remote Sensing Technologies. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0011045.

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Building on past experience, it was the objective of this investigation to automate the satellite-based detection of encroachment events, to improve target detection and reduce false alarms using radar and optical imagery and to investigate the integration of one-call services into the process flow. Algorithm development for target detection using optical imagery was carried out with the intention to facilitate the future integration of unmanned airborne vehicle (UAV) technology into the process. The capacity of the multitemporal algorithm was extended to enable the detection of area changes i
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Kaya, S., T. J. Pultz, C. M. Mbogo, J. C. Beier, and E. Mushinzimana. The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219902.

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Graber, Hans C., Lynn K. Shay, and Brian K. Haus. Remote Sensing of Surface Currents Associated with the Chesapeake Bay Outfall Plume Using a Shore-based HF Radar. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada628228.

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Dudley, J. P., and S. V. Samsonov. Système de traitement automatisé du gouvernement canadien pour la détection des variations et l'analyse des déformations du sol à partir des données de radar à synthèse d'ouverture de RADARSAT-2 et de la mission de la Constellation RADARSAT : description et guide de l'utilisateur. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329134.

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Remote sensing using Synthetic Aperture Radar (SAR) offers powerful methods for monitoring ground deformation from both natural and anthropogenic sources. Advanced analysis techniques such as Differential Interferometric Synthetic Aperture Radar (DInSAR), change detection, and Speckle Offset Tracking (SPO) provide sensitive measures of ground movement. With both the RADARSAT-2 and RADARSAT Constellation Mission (RCM) SAR satellites, Canada has access to a significant catalogue of SAR data. To make use of this data, the Canada Centre for Mapping and Earth Observation (CCMEO) has developed an au
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