Bibliografías temáticas / Remote sensing

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Literatura académica sobre el tema "Remote sensing"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

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Artículos de revistas sobre el tema "Remote sensing"

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Crespi, Mattia, Carsten Jürgens, Derya Maktav, and Karsten Jacobsen. "3D remote sensing and urban remote sensing." International Journal of Remote Sensing 37, no. 15 (2016): 3437–38. http://dx.doi.org/10.1080/01431161.2016.1205314.

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Moore, Gerald K. "Remote sensing in hydrology, remote sensing applications." Journal of Hydrology 131, no. 1-4 (1992): 388–89. http://dx.doi.org/10.1016/0022-1694(92)90228-n.

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TAKEUCHI, NOBUO. "Remote sensing." Review of Laser Engineering 21, no. 1 (1993): 211–13. http://dx.doi.org/10.2184/lsj.21.211.

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White, K. "Remote sensing." Progress in Physical Geography 22, no. 1 (1998): 95–102. http://dx.doi.org/10.1191/030913398669595653.

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Donoghue, D. N. M. "Remote sensing." Progress in Physical Geography 23, no. 2 (1999): 271–81. http://dx.doi.org/10.1191/030913399675911653.

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Bühl, J., S. Alexander, S. Crewell, et al. "Remote Sensing." Meteorological Monographs 58 (January 1, 2017): 10.1–10.21. http://dx.doi.org/10.1175/amsmonographs-d-16-0015.1.

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Abstract State-of-the-art remote sensing techniques applicable to the investigation of ice formation and evolution are described. Ground-based and spaceborne measurements with lidar, radar, and radiometric techniques are discussed together with a global view on past and ongoing remote sensing measurement campaigns concerned with the study of ice formation and evolution. This chapter has the intention of a literature study and should illustrate the major efforts that are currently taken in the field of remote sensing of atmospheric ice. Since other chapters of this monograph mainly focus on air
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Sterne, Jonathan. "REMOTE SENSING." Cultural Studies 17, no. 2 (2003): 304–6. http://dx.doi.org/10.1080/0950238032000075592.

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ROTHERY, DAVID A. "Remote sensing." Geology Today 1, no. 4 (1985): 105–8. http://dx.doi.org/10.1111/j.1365-2451.1985.tb00302.x.

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Schanda, E. "Remote sensing." Photogrammetria 40, no. 2 (1985): 206. http://dx.doi.org/10.1016/0031-8663(85)90017-1.

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Navalgund, Rangnath R. "Remote sensing." Resonance 6, no. 12 (2001): 51–60. http://dx.doi.org/10.1007/bf02913767.

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Tesis sobre el tema "Remote sensing"

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Abdelsaid, Sherif H. Kamal. "Matching remote sensing images." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/9560.

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Image analysis plays a crucial role in many computer vision applications in which images of the same scene with different geometrical orientations need to be compared for further processing. This thesis describes the design and implementation of a model-based vision system for the recognition of aerial images. The main objective is to register two remote sensing images taken at different times. First, some distinctive features are extracted and matched then, these matched features are used as marking points in defining a geometric mapping function. Once registered, the reference image can be u
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Budgett, David Mortimer. "Remote sensing of the epicardium." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363025.

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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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Sayer, Andrew Mark. "Aerosol Remote Sensing Using AATSR." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526115.

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Lavender, Samantha Jane. "Remote sensing of suspended sediment." Thesis, University of Plymouth, 1996. http://hdl.handle.net/10026.1/2119.

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A remote sensing near infrared suspended sediment algorithm is developed from first principles and applied to Compact Airborne Spectrographic Imagery (CASI) data flown over the Humber Estuary. Laboratory measurements were used as the basis for the algorithm development, with the resulting spectra indicating that the ideal wavelength for a suspended sediment algorithm is the near infrared. The resulting algorithm took the form of a waveband ratio which was subsequently validated with a semi-analytical water optics model based on the absorption/scattering properties of the optically active const
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Jago, Rosemary Alison. "Remote sensing of contaminated land." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243094.

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De, Michele Marcello. "Remote sensing observations of seismotectonics." Paris 6, 2010. http://www.theses.fr/2010PA066647.

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Pendant les 20 dernières années, notre connaissance de la déformation de la Terre a été complètement bouleversée par l’introduction de deux techniques de Géodésie spatiale. D’une part, ce que l’on appelle positionnement satellitaire (‘point positioning’) pas seulement à partir du système GPS (Global Positioning System) mais également à partir du système DORIS (Doppler Orbitography and Radio-positioning Integrated from Space). D’autre part, ont été développées des techniques d’imagerie satellitaire de corrélation d’images et d’interférométrie SAR (Synthetic Aperture Radar) ainsi que les méthode
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Charlton, Fergus. "Remote sensing of freshwater phytoplankton." Thesis, University of Edinburgh, 1998. http://hdl.handle.net/1842/21140.

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This study researches the potential for using hyperspectral remote sensing to identify the phytoplanktonic composition of a freshwater bloom. Six novel analytical techniques were developed to identify phytoplankton class from reflectance spectra. These techniques offer the water manager a variety of means to identify the dominant phytoplankton class in a target water body. Identification of phytoplankton class is possible because certain photosynthetic pigments contained within phytoplankton cells are taxonomically significant, being indicative of a particular class. The detection of these pig
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Qi, Jiaguo. "Compositing multitemporal remote sensing data." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186327.

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In order to reduce the problems of clouds, atmospheric variations, view angle effects, and the soil background variations in the high temporal frequency AVHRR data, a compositing technique is usually employed. Current compositing techniques use a single pixel selection criterion of outputting the input pixel of maximum value NDVI. Problems, however, exist due to the use of the NDVI classifier and to the imperfection of the pixel selection criteria of the algorithm itself. The NDVI was found not to have the maximum value under an ideal observation condition, while the single pixel selection cri
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Hick, Peter T. "Remote sensing of agricultural salinity." Thesis, Curtin University, 1987. http://hdl.handle.net/20.500.11937/877.

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Salinity represents the major environmental threat to arable land in Western Australia and many other parts of the world. This study was designed to establish criteria for a practical remote sensing system using the visible, reflected and shortwave infrared for the early detection and mapping of salinity. The results are principally from a group of study sites on the CSIROs Yalanbee Experiment Station, and from other significant sites during the agricultural cycles of 1985-7.Analysis of imagery from the Geoscan Multispectral Airborne Scanner showed that best discrimination between study sites
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Libros sobre el tema "Remote sensing"

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Khorram, Siamak, Stacy A. C. Nelson, Frank H. Koch, and Cynthia F. van der Wiele. Remote Sensing. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3103-9.

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Buydos, John F. Remote sensing. Science Reference Section, Science and Technology Division, Library of Congress, 1993.

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Fridell, Ron. Remote sensing. Lerner Publications, 2009.

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Khorram, Siamak. Remote sensing. Springer, 2012.

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Fridell, Ron. Remote sensing. Lerner Publications, 2009.

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Clifton, Margaret. Remote sensing. Science Reference Section, Science, Technology, and Business Division, Library of Congress, 2005.

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A, Beaumont E., Foster Norman H, and American Association of Petroleum Geologists., eds. Remote sensing. American Association of Petroleum Geologists, 1992.

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C, Nelson Stacy A., Koch Frank H, van der Wiele, Cynthia F., and SpringerLink (Online service), eds. Remote Sensing. Springer US, 2012.

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Escalante-Ramírez, Boris. Remote sensing: Applications. InTech, 2012.

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Liang, Shunlin, Xiaowen Li, and Jindi Wang. Advanced remote sensing. Academic Press, 2012.

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Capítulos de libros sobre el tema "Remote sensing"

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Maliva, Robert, and Thomas Missimer. "Remote Sensing." In Arid Lands Water Evaluation and Management. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29104-3_18.

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West, P. W. "Remote Sensing." In Tree and Forest Measurement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14708-6_13.

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Wasowski, Janusz, Daniele Giordan, and Vern Singhroy. "Remote Sensing." In Selective Neck Dissection for Oral Cancer. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12127-7_235-1.

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Sholarin, Ebenezer A., and Joseph L. Awange. "Remote Sensing." In Environmental Science and Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27651-9_11.

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Lindenschmidt, Karl-Erich. "Remote Sensing." In River Ice Processes and Ice Flood Forecasting. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28679-8_5.

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Andréfouët, Serge. "Remote Sensing." In Encyclopedia of Modern Coral Reefs. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2639-2_21.

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Singhal, B. B. S., and R. P. Gupta. "Remote sensing." In Applied Hydrogeology of Fractured Rocks. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9208-6_4.

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West, P. W. "Remote Sensing." In Tree and Forest Measurement. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95966-3_13.

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Noyhouzer, Tomer, and Daniel Mandler. "Remote Sensing." In Environmental Analysis by Electrochemical Sensors and Biosensors. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0676-5_23.

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Shekhar, Shashi, and Hui Xiong. "Remote Sensing." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1114.

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Actas de conferencias sobre el tema "Remote sensing"

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Walter, Dominik, and Carsten Pitsch. "Quantum remote sensing." In Quantum Technologies for Defence and Security, edited by Giacomo Sorelli, Sara Ducci, and Sylvain Schwartz. SPIE, 2024. http://dx.doi.org/10.1117/12.3031683.

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"Remote Sensing." In 2008 IEEE/OES 9th Working Conference on Current Measurement Technology. IEEE, 2008. http://dx.doi.org/10.1109/ccm.2008.4480855.

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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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Mahmoud, Ayman A., Tamer T. Elazhary, and Amal Zaki. "Remote sensing CubeSat." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2010. http://dx.doi.org/10.1117/12.865116.

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"Remote sensing techniques." In Proceedings of the IEEE/OES Eighth Working Conference on Current Measurement Technology. IEEE, 2005. http://dx.doi.org/10.1109/ccm.2005.1506334.

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Schweitzer, Jeffrey S. "Subsurface Remote Sensing." In UNATTENDED RADIATION SENSOR SYSTEMS FOR REMOTE APPLICATIONS. AIP, 2002. http://dx.doi.org/10.1063/1.1513964.

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"Remote sensing applications." In 2010 2nd International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2010. http://dx.doi.org/10.1109/ipta.2010.5586822.

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Kellarev, Alexander, and Dan Sheffer. "Terahertz remote sensing." In SPIE Defense, Security, and Sensing, edited by Mehdi Anwar, Nibir K. Dhar, and Thomas W. Crowe. SPIE, 2011. http://dx.doi.org/10.1117/12.883109.

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Bin Wan Ibrahim, W. Mohd Azhar, and E. H. Mirza. "Remote sensing electrocardiography." In 2013 International Conference on Computer Medical Applications (ICCMA 2013). IEEE, 2013. http://dx.doi.org/10.1109/iccma.2013.6506179.

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Ghouzlane, Souad. "Wildfire Remote Sensing Applications." In 6th International Students Science Congress. Izmir International Guest Student Association, 2022. http://dx.doi.org/10.52460/issc.2022.027.

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There is a growing interest in mapping, monitoring, and assessing wildfires' risk, behavior, and environmental impacts. Recent developments in Remote sensing technology and tools facilitate the researcher's job in obtaining spatial information and monitoring land changes and hazards. Moreover, remote sensing technology coupled with geographic information systems permits uncovering the spatial potential, predicting Spatio-temporal change patterns, and supporting sustainable land management. Likewise, Using Remote sensing data and GIS tools in mapping wildfire incidents and their behavior has pr
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Informes sobre el tema "Remote sensing"

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Kornreich, Philipp. Remote Optical Sensing. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada220780.

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Harris, J., and L. Wickert. Optical remote sensing. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2008. http://dx.doi.org/10.4095/226012.

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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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Nelson, Thomas. Advanced remote sensing. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1087299.

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Gianoulakis, Steven. Remote Sensing System. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1173143.

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Harrison, Ian J., Ned Horning, K. Koy, P. McPhearson, and Osman Wallace. An Introduction to Remote Sensing. American Museum of Natural History, 2008. http://dx.doi.org/10.5531/cbc.ncep.0174.

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Remote sensing is a technology for sampling reflected and emitted electromagnetic radiation of features on the Earth's land surface, oceans, and atmosphere. In this module, we exclude such techniques as sonar, geomagnetic and seismic sounding, as well as medical imaging, but include a wide set of techniques often known by the alternative name of Earth Observation (EO). The main objective of this module is to introduce the basic concepts of remote sensing science, focusing on the practical aspects of accessing, visualizing, and processing remotely-sensed data. Information here is targeted towar
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Schultz, J., S. Czuchlewski, and R. Karl. Advanced laser remote sensing. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/399674.

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Friske, P., and J. Harris. Geochemistry/remote sensing, Labrador. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194048.

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Davis, Curtiss O. Airborne Hyperspectral Remote Sensing. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada631001.

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Alföldi, T., P. Catt, and P. R. Stephens. Definitions of Remote Sensing. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/218103.

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