Academic literature on the topic 'Optic Remote Sensing'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Optic Remote Sensing.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Optic Remote Sensing"
Glenar, David A., John J. Hillman, Babak Saif, and Jay Bergstralh. "Acousto-optic imaging spectropolarimetry for remote sensing." Applied Optics 33, no. 31 (November 1, 1994): 7412. http://dx.doi.org/10.1364/ao.33.007412.
Full textAntonelli, Lynn, and Fletcher Blackmon. "Experimental demonstration of remote, passive acousto-optic sensing." Journal of the Acoustical Society of America 116, no. 6 (December 2004): 3393–403. http://dx.doi.org/10.1121/1.1811475.
Full textAlarie, J. P., D. L. Stokes, W. S. Sutherland, A. C. Edwards, and T. Vo-Dinh. "Intensified Charge Coupled Device-Based Fiber-Optic Monitor for Rapid Remote Surface-Enhanced Raman Scattering Sensing." Applied Spectroscopy 46, no. 11 (November 1992): 1608–12. http://dx.doi.org/10.1366/0003702924926736.
Full textHühne, Martin, Ursula Eschenauer, and Heinz W. Siesler. "Performance and Selected Applications of an Acousto-Optic Tunable Filter Near-Infrared Spectrometer." Applied Spectroscopy 49, no. 2 (February 1995): 177–80. http://dx.doi.org/10.1366/0003702953963823.
Full textLiu, Qinhuo, Guangjian Yan, Ziti Jiao, Qing Xiao, Jianguang Wen, Shunlin Liang, Jindi Wang, Crystal Schaaf, and Alan Strahler. "From Geometric-Optical Remote Sensing Modeling to Quantitative Remote Sensing Science—In Memory of Academician Xiaowen Li." Remote Sensing 10, no. 11 (November 8, 2018): 1764. http://dx.doi.org/10.3390/rs10111764.
Full textLeilabady, P. Akhavan, and M. Corke. "All-fiber-optic remote sensing of temperature employing interferometric techniques." Optics Letters 12, no. 10 (October 1, 1987): 772. http://dx.doi.org/10.1364/ol.12.000772.
Full textFarahi, F., T. P. Newson, J. D. C. Jones, and D. A. Jackson. "Coherence multiplexing of remote fibre optic fabry-perot sensing system." Optics Communications 65, no. 5 (March 1988): 319–21. http://dx.doi.org/10.1016/0030-4018(88)90094-6.
Full textLiu, Chun Tong, Yang Zhang, Zhen Xin He, and Hong Cai Li. "Design of Remote Test System for Fiber Bragg Grating Based on LabVIEW." Advanced Materials Research 694-697 (May 2013): 992–96. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.992.
Full textMoreau, Frédérick, Sandrine M. Moreau, Dennis M. Hueber, and Tuan Vo-Dinh. "Fiber-Optic Remote Multisensor System Based on an Acousto-Optic Tunable Filter (AOTF)." Applied Spectroscopy 50, no. 10 (October 1996): 1295–300. http://dx.doi.org/10.1366/0003702963904917.
Full textHuston, Alan L., Brian L. Justus, and Tommy L. Johnson. "Fiber‐optic‐coupled, laser heated thermoluminescence dosimeter for remote radiation sensing." Applied Physics Letters 68, no. 24 (June 10, 1996): 3377–79. http://dx.doi.org/10.1063/1.116509.
Full textDissertations / Theses on the topic "Optic Remote Sensing"
Bennett, Kimberly Dean. "Fiber optic techniques for remote sensing." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/104293.
Full textLyu, Chang Y. "Automated infrared fiber optic characterizer." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/51917.
Full textMaster of Science
Mehranipornejad, Ebrahim. "Evaluation of AASHTO design specifications for cast-in-place continuous bridge deck using remote sensing technique." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001584.
Full textDavaze, Lucas. "Quantification du bilan de masse des glaciers de montagne à l'échelle régionale par télédétection spatiale optique." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAU022/document.
Full textBeyond their iconic role of climate change, mountain glaciers can be considered as Earth’ essential component and natural “climate-meter”. Despite their small spatial coverage (0.5% of emerged land), mountain glaciers contribute as high as 30% of the observed sea-level rise. In some regions, they are considered as essential issues because of their importance in terms of potable water, agriculture, hydroelectricity or natural hazards. A small share is however monitored in situ (<0.0025%) and their fluctuations at regional scale are poorly known.Thanks to the development of high spatial resolution satellite sensors (metric to decametric), new methods are today available to significantly increase the number of monitored glaciers. After a state of the art of the existing methods and an identification of the limitations, we focused our attention on the development of two methods.The first one is based on the automatic detection of the snow/ice interface altitude (i.e. snowline) at the glacier surface from optical satellite images. This altitude, when estimated at the end of summer, is a proxy of the annual glacier-wide mass change at the glacier surface (called surface mass balance, SMB). Using this approach, we estimated the annual SMBs of 239 glaciers in the European Alps and 82 glaciers in the tropical Andes for the period 2000-2016 and 2000-2018, respectively. The mean mass loss are -0.74 and -1.29 m water equivalent per year for the two regions, respectively. This approach allowed to derive the first dataset of annual SMBs for individual glaciers at regional scale from optical remote sensing. We found significant relationships between the computed SMBs and the glacier morpho-topographic features (e.g. slope, median altitude, …), with steeper and higher glaciers, experiencing less mass losses. Comparison with in situ monitored SMBs revealed an overestimation of mass losses from in situ estimates, due to a low representativeness of steep glaciers (>20°) in the in situ datasets. Our study also revealed heterogeneous inter-annual variability across the European Alps, partially explained by the climatic context of the studied sub-regions, thanks to the analysis of climate reanalysis data.We developed a second method to derive the annual and summer SMBs from albedo maps, computed from MODIS images. With an application on 30 glaciers in the French Alps, this work opened the way toward a regional application of this method, in order to estimate both annual and summer SMBs.By performing regional applications on different glacierized regions, we developed and validated methods capable of deriving the annual and summer SMBs of individual mountain glaciers at regional scale, from optical remote sensing data. These data could then be used to (1) assess the impact of peculiar climatic conditions onto mountain glaciers; (2) investigate possible meteorological conditions driving the documented glacier fluctuations; (3) calibrate and validate glacio-hydrological models used to estimate the current and future contributions of mountain glaciers to the hydrological functioning of mountain catchments and to sea level rise
Bousbih, Safa. "Synergie optique-radar pour l'estimation des états de surface continentale." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30278.
Full textAgriculture is considered as one of the most important sectors in Tunisia on which the country's economy is predominately based. It is also important because of its contribution to food security. In the context of natural resource management, the characterization and monitoring of surface states is essential, particularly in semi-arid regions where several constraints hamper agricultural development (period of drought, conflicts over water sharing, lack of resources, overpumping of groundwater, etc.). In Tunisia, nearly 80% of available water resources are used by agriculture with limited efficiency. Here, with very limited water resources, the estimation of the surface water state is necessary to establish the appropriate decisions for a better sustainable management. In this context, remote sensing provides a fundamental database for surface observation. It is a major tool for remote sensing data acquisition.The work carried out during this thesis contributes to evaluate the potential of the new Sentinel-1 (S-1) and Sentinel-2 (S-2) satellite for the characterization of surface states, specifically soil moisture in a context of sustainable management of water and soil resources. Indeed, these new systems offer operational products with a high temporal repeatability and metric spatial resolutions allowing regular monitoring. In our context, radar data is particularly sensitive to surface conditions, specifically soil moisture, surface roughness and vegetation cover. They are unveiled as the most promising tools for accurate monitoring at the field or regional scale. This work includes two main parts that directly relate soil moisture (key variable for different processes) to irrigation first, and then to soil texture. The approach adopted combines experimental measurements with the use of different remote sensing data in synergy, modeling and mapping. The thesis is structured in three parts. The first part of this work evaluates the potential of C-band radar data for a large database. The results showed through behavioral and modeling studies that the radar signal could retrieve temporal and spatial dynamics of soil moisture on cereal plots. The second component consists of evaluating the combined use of optical and radar data in order to predict surface water conditions over vegetative cover. With a precision of about 6 vol. %, soil moisture mapping is then proposed at high spatial resolution, by inverting the Water Cloud Model (WCM), a backscattering model for vegetation cover.[...]
Jenkins, David Francis Llewellyn. "Photothermal deflection spectroscopy and its application in remote sensing." Thesis, Cranfield University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303791.
Full textSartor, Mark Alan. "Development, characterization, and modeling of a tunable filter camera." Diss., The University of Arizona, 1999. http://hdl.handle.net/10150/283972.
Full textDoctor, Katarina Zsoldos. "Spectral bands necessary to describe the directional reflective properties of beach sands." Thesis, George Mason University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10192107.
Full textA common method to identify or model the dominant directional reflective properties of a surface is the bidirectional reflectance distribution function (BRDF). BRDF describes the angular behavior by which light interacts with surfaces. Remote sensing technology has advanced to the stage where hyperspectral sensors, with hundreds of separate wavelength bands, are fairly common. This necessitates examining BRDF in the hyperspectral regime, which implies examining the directional reflective properties of hundreds of narrowly spaced wavelength bands.
In this dissertation I hypothesize that beach sand BRDF is wavelength dependent. Principal component analysis (PCA) and correlation matrix analysis of in situ measurements were used to test whether the spectral variability in the visible, near-infrared and shortwave directional reflectance factor of beach sands with and without freshwater surface films are wavelength dependent. The hyperspectral BRDF of beach sands exhibit weak spectral variability, the majority of which can be described with three to four broad spectral bands. These occur in the absence of a water layer on top of the sand in three wavelength ranges of 350-450 nm, 700-1350 nm, and 1450-2400 nm. When observing sheet flow on sand, a thin layer of water enhances reflectance in the specular direction at all wavelengths, and that spectral variability may be described using four spectral band regions of 350-450 nm, 500-950 nm, 950-1350 nm, and 1450-2400 nm. Spectral variations are more evident in sand surfaces of greater visual roughness than in smooth surfaces, regardless of sheetflow.
Banta, Victor Jay 1958. "Thermal infrared remote sensing: Calibration technique for emissivity measurements." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/291626.
Full textKnight, Edward Joseph 1968. "Polarization effects in the radiometric calibration of earth remote sensing satellites." Diss., The University of Arizona, 2000. http://hdl.handle.net/10150/284106.
Full textBooks on the topic "Optic Remote Sensing"
Fundamentals of polarimetric remote sensing. Bellingham, Wash., USA: SPIE Press, 2009.
Find full textWatson, John. Subsea optics and Imaging. Sawston, Cambridge: Woodhead Publishing Ltd., 2013.
Find full textLillesand, Thomas M. Remote sensing and image interpretation. 2nd ed. New York: Wiley, 1987.
Find full textW, Kiefer Ralph, and Chipman Jonathan W, eds. Remote sensing and image interpretation. 5th ed. New York: Wiley, 2004.
Find full textW, Kiefer Ralph, ed. Remote sensing and image interpretation. 2nd ed. New York: Wiley, 1987.
Find full textW, Kiefer Ralph, ed. Remote sensing and image interpretation. 4th ed. New York: John Wiley & Sons, 2000.
Find full textLillesand, Thomas M. Remote sensing and image interpretation. 3rd ed. New York: Wiley, 1994.
Find full textLillesand, Thomas M. Remote sensing and image interpretation. 6th ed. Hoboken, NJ: John Wiley & Sons, 2007.
Find full textW, Kiefer Ralph, ed. Remote sensing and image interpretation. 3rd ed. New York: Wiley & Sons, 1994.
Find full textLillesand, Thomas M. Remote sensing and image interpretation. 5th ed. New York, NY: John Wiley & Sons, 2002.
Find full textBook chapters on the topic "Optic Remote Sensing"
Beaudin, Gérard. "Passive Remote Sensing at Submillimeter Wavelengths and THz." In Measurements using Optic and RF Waves, 113–29. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118586228.ch5.
Full textYu, Jirong, Weimin Yang, and Chester A. Gardner. "A Novel Acousto-optic Modulation Technique for Na Wind/Temperature Lidars." In Advances in Atmospheric Remote Sensing with Lidar, 573–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_139.
Full textSchneckenburger, Herbert, and Joachim Bader. "Fiber — Optic Detection of Chlorophyll Fluorescence." In Applications of Chlorophyll Fluorescence in Photosynthesis Research, Stress Physiology, Hydrobiology and Remote Sensing, 255–58. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2823-7_32.
Full textKnaack, A., D. Klatt, W. Schade, R. Horn, and T. Baumgartl. "A Fiber Optic LIF-Sensor for Measuring Temporal and Spatial Distribution of Tracers in the Ground." In Laser in der Umweltmeßtechnik / Laser in Remote Sensing, 113–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-08252-2_21.
Full textWalther, Thomas, and Edward S. Fry. "Optics in Remote Sensing." In Optics in Our Time, 201–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31903-2_9.
Full textMascarenhas, Veloisa, and Therese Keck. "Marine Optics and Ocean Color Remote Sensing." In YOUMARES 8 – Oceans Across Boundaries: Learning from each other, 41–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93284-2_4.
Full textFejer, M., J. Nightingale, G. Magel, W. Kozlovsky, T. Y. Fan, and R. L. Byer. "Nonlinear Optics in Single Crystal Fibers." In Tunable Solid State Lasers for Remote Sensing, 141–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-540-39765-6_38.
Full text"Optical Techniques in Remote Sensing." In Electromagnetics and Optics, 459–96. WORLD SCIENTIFIC, 1992. http://dx.doi.org/10.1142/9789814360029_0013.
Full textRaizer, Victor. "Fundamentals of Ocean Optics." In Optical Remote Sensing of Ocean Hydrodynamics, 87–131. CRC Press, 2019. http://dx.doi.org/10.1201/9781351119184-3.
Full textShepherd, G. G. "OPTICS, ATMOSPHERIC | Optical Remote Sensing Instruments." In Encyclopedia of Atmospheric Sciences, 338–45. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-382225-3.00285-1.
Full textConference papers on the topic "Optic Remote Sensing"
Bach, David T., and Carl Lin. "Remote Fiber Optic Reflectometer." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Dietrich G. Korsch. SPIE, 1989. http://dx.doi.org/10.1117/12.955594.
Full textHedman, Karin, and Florian David. "Atmospheric refraction and its impact on free-space optic communication systems." In Remote Sensing, edited by John D. Gonglewski and Karin Stein. SPIE, 2004. http://dx.doi.org/10.1117/12.565475.
Full textGreenwell, Roger A., David W. Pentrack, C. J. Pallach, Richard A. Tripoli, Larry A. Sadler, G. R. Waldsmith, and Steven R. Terwilliger. "Radiation testing of electro-optic devices in compliance with IEEE 1156.4." In Remote Sensing, edited by Edward W. Taylor and Francis Berghmans. SPIE, 1999. http://dx.doi.org/10.1117/12.373273.
Full textSouilhac, Dominique J., and Dominique Billerey. "TeO2 and Te acousto-optic spectrometer imaging system." In Satellite Remote Sensing, edited by Anton Kohnle and Adam D. Devir. SPIE, 1994. http://dx.doi.org/10.1117/12.197378.
Full textCalpe-Maravilla, Javier, Joan Vila-Frances, Emilio Ribes-Gomez, Vicente Duran-Bosch, Jordi Munoz-Mari, Julia Amoros-Lopez, Luis Gomez-Chova, and Enrique Tajahuerce-Romera. "400- to 1000-nm imaging spectrometer based on acousto-optic tunable filters." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2004. http://dx.doi.org/10.1117/12.565587.
Full textBerghmans, Francis, Marco Van Uffelen, Antoine Nowodzinski, Benoit Brichard, Frans Vos, Philippe Jucker, and Marc C. Decreton. "High total dose irradiation experiments on fiber optic components for fusion reactor environments." In Remote Sensing, edited by Edward W. Taylor and Francis Berghmans. SPIE, 1999. http://dx.doi.org/10.1117/12.373281.
Full textBrinkmeyer, Ernst, and Thomas Waterholter. "Fiber optic CW doppler lidar using a synthetic broadband source." In SPIE Remote Sensing, edited by Upendra N. Singh and Gelsomina Pappalardo. SPIE, 2013. http://dx.doi.org/10.1117/12.2025814.
Full textFox, S., D. Wilson, and W. Lewis. "Neon: the UK Met office electro-optic tactical decision aid-current and future capability." In Remote Sensing, edited by Karin Stein and John D. Gonglewski. SPIE, 2010. http://dx.doi.org/10.1117/12.868182.
Full textCheng, Andrew Y. S., and Mau Hing Chan. "Monitoring of environmental nitrogen dioxide concentration using visible acousto-optic differential optical absorption spectroscopy." In Remote Sensing, edited by Adolfo Comeron, Michel R. Carleer, Richard H. Picard, and Nicolaos I. Sifakis. SPIE, 2004. http://dx.doi.org/10.1117/12.565313.
Full textLópez-Amo, Manuel, and Montserrat Fernández-Vallejo. "Remote sensing networks for fiber optic sensors." In Optical Sensors. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/sensors.2012.sm4f.2.
Full textReports on the topic "Optic Remote Sensing"
Sumali, Anton Hartono, Jeffrey W. Martin, John A. Main, Benjamin T. Macke, Jordan Elias Massad, and Pavel Mikhail Chaplya. Deployable large aperture optics system for remote sensing applications. Office of Scientific and Technical Information (OSTI), April 2004. http://dx.doi.org/10.2172/918742.
Full textWilliams, Jerome. Assessment of Ocean Optics, Remote Sensing and Numerical Modeling in Europe, 1986-1987. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada209158.
Full text