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Academic literature on the topic 'Laboratory for Applications of Remote Sensing'

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Published: 25 July 2024

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Journal articles on the topic "Laboratory for Applications of Remote Sensing"

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RayChaudhuri, B., and S. Bhattacharyya. "Fuzzy analysis of laboratory spectroscopy of vegetation for remote sensing applications." International Journal of Remote Sensing 27, no. 1 (January 10, 2006): 191–201. http://dx.doi.org/10.1080/01431160500192413.

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Mattar, Cristian, Andrés Santamaría-Artigas, Flavio Ponzoni, Cibele T. Pinto, Carolina Barrientos, and Glynn Hulley. "Atacama Field Campaign: laboratory and in-situ measurements for remote sensing applications." International Journal of Digital Earth 12, no. 1 (March 15, 2018): 43–61. http://dx.doi.org/10.1080/17538947.2018.1450901.

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Zwissler, Bonnie, Thomas Oommen, Stan Vitton, and Eric A. Seagren. "Thermal Remote Sensing For Moisture Content Monitoring of Mine Tailings: Laboratory Study." Environmental and Engineering Geoscience 23, no. 4 (November 1, 2017): 299–312. http://dx.doi.org/10.2113/gseegeosci.23.4.299.

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Abstract Mining produces massive volumes of mine tailings that are deposited into large-scale mine tailings impoundments. A key environmental objective of managing these large impoundments is mitigating fugitive dust emissions by monitoring and controlling moisture, because moisture directly affects the tailings’ strength and the ability to apply dust control measures using motorized equipment. Therefore, understanding the spatial and temporal variations in moisture content for surface tailings is critical for characterizing dust susceptibility and trafficability. Remote sensing has been proven to be a useful tool for similar applications. This study utilized laboratory testing conducted on iron mine tailings to verify that: (1) a relationship exists between moisture content and strength for the surface of mine tailings, and (2) thermal remote sensing can be used to infer spatial variations in moisture content for surface tailings. Multivariate regressions were developed to identify the critical remote sensing and climatic variables and evaluate their influence in remotely measured moisture content. For tailings samples collected from two different North American iron mines, regressions using sample temperature and ambient humidity were able to predict surface moisture content (R2> 0.9).
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Hu, Chuanmin, Yingcheng Lu, Shaojie Sun, and Yongxue Liu. "Optical Remote Sensing of Oil Spills in the Ocean: What Is Really Possible?" Journal of Remote Sensing 2021 (February 13, 2021): 1–13. http://dx.doi.org/10.34133/2021/9141902.

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Optical remote sensing (ORS) of reflected sun light has been used to assess oil spills in the ocean for several decades. While most applications are toward simple presence/absence detections based on the spatial contrast between oiled water and oil-free water, recent advances indicate the possibility of classifying oil types and quantifying oil volumes based on their spectral contrasts with oil-free water. However, a review of the current literature suggests that there is still confusion on whether this is possible and, if so, how. Here, based on the recent findings from numerical models, laboratory measurements, and applications to satellite or airborne imagery, we attempt to clarify this situation by summarizing (1) the optics behind oil spill remote sensing, and in turn, (2) how to interpret optical remote sensing imagery based on optical principles. In the end, we discuss the existing limitations and challenges as well as pathways forward to advance ORS of oil spills.
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Oancea, Adriana, Olivier Grasset, Erwan Le Menn, Olivier Bollengier, Lucile Bezacier, Stéphane Le Mouélic, and Gabriel Tobie. "Laboratory infrared reflection spectrum of carbon dioxide clathrate hydrates for astrophysical remote sensing applications." Icarus 221, no. 2 (November 2012): 900–910. http://dx.doi.org/10.1016/j.icarus.2012.09.020.

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Weber, Mark, Victor Gorshelev, and Anna Serdyuchenko. "Uncertainty budgets of major ozone absorption cross sections used in UV remote sensing applications." Atmospheric Measurement Techniques 9, no. 9 (September 8, 2016): 4459–70. http://dx.doi.org/10.5194/amt-9-4459-2016.

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Abstract. Detailed uncertainty budgets of three major ultraviolet (UV) ozone absorption cross-section datasets that are used in remote sensing application are provided and discussed. The datasets are Bass–Paur (BP), Brion–Daumont–Malicet (BDM), and the more recent Serdyuchenko–Gorshelev (SG). For most remote sensing application the temperature dependence of the Huggins ozone band is described by a quadratic polynomial in temperature (Bass–Paur parameterization) by applying a regression to the cross-section data measured at selected atmospherically relevant temperatures. For traceability of atmospheric ozone measurements, uncertainties from the laboratory measurements as well as from the temperature parameterization of the ozone cross-section data are needed as input for detailed uncertainty calculation of atmospheric ozone measurements. In this paper the uncertainty budgets of the three major ozone cross-section datasets are summarized from the original literature. The quadratic temperature dependence of the cross-section datasets is investigated. Combined uncertainty budgets is provided for all datasets based upon Monte Carlo simulation that includes uncertainties from the laboratory measurements as well as uncertainties from the temperature parameterization. Between 300 and 330 nm both BDM and SG have an overall uncertainty of 1.5 %, while BP has a somewhat larger uncertainty of 2.1 %. At temperatures below about 215 K, uncertainties in the BDM data increase more strongly than the others due to the lack of very low temperature laboratory measurements (lowest temperature of BDM available is 218 K).
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Park, Jaewoo, Franklyn Jumu, Justin Power, Maxime Richard, Yomna Elsahli, Mohamad Ali Jarkas, Andy Ruan, Adina Luican-Mayer, and Jean-Michel Ménard. "Drone-Mountable Gas Sensing Platform Using Graphene Chemiresistors for Remote In-Field Monitoring." Sensors 22, no. 6 (March 19, 2022): 2383. http://dx.doi.org/10.3390/s22062383.

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We present the design, fabrication, and testing of a drone-mountable gas sensing platform for environmental monitoring applications. An array of graphene-based field-effect transistors in combination with commercial humidity and temperature sensors are used to relay information by wireless communication about the presence of airborne chemicals. We show that the design, based on an ESP32 microcontroller combined with a 32-bit analog-to-digital converter, can be used to achieve an electronic response similar, within a factor of two, to state-of-the-art laboratory monitoring equipment. The sensing platform is then mounted on a drone to conduct field tests, on the ground and in flight. During these tests, we demonstrate a one order of magnitude reduction in environmental noise by reducing contributions from humidity and temperature fluctuations, which are monitored in real-time with a commercial sensor integrated to the sensing platform. The sensing device is controlled by a mobile application and uses LoRaWAN, a low-power, wide-area networking protocol, for real-time data transmission to the cloud, compatible with Internet of Things (IoT) applications.
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Giordano, Daniele, James K. Russell, Diego González-García, Danilo Bersani, Donald B. Dingwell, and Ciro Del Negro. "Raman Spectroscopy from Laboratory and Proximal to Remote Sensing: A Tool for the Volcanological Sciences." Remote Sensing 12, no. 5 (March 2, 2020): 805. http://dx.doi.org/10.3390/rs12050805.

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Here we explore and review some of the latest ideas and applications of Raman spectroscopy to the volcanological sciences. Firstly, we provide a brief overview of how Raman spectral analysis works and how spectra from silicate glasses are interpreted. We then look at specific applications of Raman spectral analysis to the volcanological sciences based on measurements on and studies of natural materials in the laboratory. We conclude by examining the potential for Raman spectral analysis to be used as a field based aid to volcano monitoring via in situ studies of proximal deposits and; perhaps; in remote sensing campaigns
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Weisbin, C., and D. Perillard. "R & D Profile Jet Propulsion Laboratory Robotic Facilities and Associated Research." Robotica 9, no. 1 (January 1991): 7–21. http://dx.doi.org/10.1017/s0263574700015526.

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SUMMARYThis paper describes the robotics facilities and associated research program of the Jet Propulsion Laboratory, lead center in telerobotics for the United States National Aeronautics and Space Administration. Emphasis is placed on evolution from teleoperation to remote System automation. Research is described in manipulator modelling and control, real-time planning and monitoring, navigation in outdoor terrain, real-time sensing and perception, human-machine interface, and overall System architectures. Applications to NASA missions emphasize robotic spacecraft for solar System exploration, satellite servicing and retrieval, assembly of structures, and surveillance. Applications to military missions include battlefield navigation, surveillance, logistics, command and control.
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Mamaghani and Salvaggio. "Multispectral Sensor Calibration and Characterization for sUAS Remote Sensing." Sensors 19, no. 20 (October 14, 2019): 4453. http://dx.doi.org/10.3390/s19204453.

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This paper focuses on the calibration of multispectral sensors typically used for remote sensing. These systems are often provided with "factory" radiometric calibration and vignette correction parameters. These parameters, which are assumed to be accurate when the sensor is new, may change as the camera is utilized in real-world conditions. As a result, regular calibration and characterization of any sensor should be conducted. An end-user laboratory method for computing both the vignette correction and radiometric calibration function is discussed in this paper. As an exemplar, this method for radiance computation is compared to the method provided by MicaSense for their RedEdge series of sensors. The proposed method and the method provided by MicaSense for radiance computation are applied to a variety of images captured in the laboratory using a traceable source. In addition, a complete error propagation is conducted to quantify the error produced when images are converted from digital counts to radiance. The proposed methodology was shown to produce lower errors in radiance imagery. The average percent error in radiance was −10.98%, −0.43%, 3.59%, 32.81% and −17.08% using the MicaSense provided method and their "factory" parameters, while the proposed method produced errors of 3.44%, 2.93%, 2.93%, 3.70% and 0.72% for the blue, green, red, near infrared and red edge bands, respectively. To further quantify the error in terms commonly used in remote sensing applications, the error in radiance was propagated to a reflectance error and additionally used to compute errors in two widely used parameters for assessing vegetation health, NDVI and NDRE. For the NDVI example, the ground reference was computed to be 0.899 ± 0.006, while the provided MicaSense method produced a value of 0.876 ± 0.005 and the proposed method produced a value of 0.897 ± 0.007. For NDRE, the ground reference was 0.455 ± 0.028, MicaSense method produced 0.239 ± 0.026 and the proposed method produced 0.435 ± 0.038.
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Dissertations / Theses on the topic "Laboratory for Applications of Remote Sensing"

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Philipson, née Ammenberg Petra. "Environmental Applications of Aquatic Remote Sensing." Doctoral thesis, Uppsala University, Centre for Image Analysis, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3328.

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Many lakes, coastal zones and oceans are directly or indirectly influenced by human activities. Through the outlet of a vast amount of substances in the air and water, we are changing the natural conditions on local and global levels.

Remote sensing sensors, on satellites or airplanes, can collect image data, providing the user with information about the depicted area, object or phenomenon. Three different applications are discussed in this thesis. In the first part, we have used a bio-optical model to derive information about water quality parameters from remote sensing data collected over Swedish lakes. In the second part, remote sensing data have been used to locate and map wastewater plumes from pulp and paper industries along the east coast of Sweden. Finally, in the third part, we have investigated to what extent satellite data can be used to monitor coral reefs and detect coral bleaching.

Regardless of application, it is important to understand the limitations of this technique. The available sensors are different and limited in terms of their spatial, spectral, radiometric and temporal resolution. We are also limited with respect to the objects we are monitoring, as the concentration of some substances is too low or the objects are too small, to be identified from space. However, this technique gives us a possibility to monitor our environment, in this case the aquatic environment, with a superior spatial coverage. Other advantages with remote sensing are the possibility of getting updated information and that the data is collected and distributed in digital form and therefore can be processed using computers.

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Philipson, Petra. "Environmental applications of aquatic remote sensing /." Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2003. http://publications.uu.se/theses/91-554-5542-5/.

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Saraf, Arun Kumar. "Remote sensing applications in geobotanical exploration : some applications of remote sensing to geological surveying in vegetated areas." Thesis, University of Dundee, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276975.

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Egido, Egido Alejandro. "GNSS reflectometry for land remote sensing applications." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/129090.

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Soil moisture and vegetation biomass are two essential parameters from a scienti c and economical point of view. On one hand, they are key for the understanding of the hydrological and carbon cycle. On the other hand, soil moisture is essential for agricultural applications and water management, and vegetation biomass is crucial for regional development programs. Several remote sensing techniques have been used to measure these two parameters. However, retrieving soil moisture and vegetation biomass with the required accuracy, and the appropriate spatial and temporal resolutions still remains a major challenge. The use of Global Navigation Satellite Systems (GNSS) reflected signals as sources of opportunity for measuring soil moisture and vegetation biomass is assessed in this PhD Thesis. This technique, commonly known as GNSS-Reflectometry (GNSS-R), has gained increasing interest among the scienti c community during the last two decades due to its unique characteristics. Previous experimental works have already shown the capabilities of GNSS-R to sense small reflectivity changes on the surface. The use of the co- and cross-polarized reflected signals was also proposed to mitigate nuisance parameters, such as soil surface roughness, in the determination of soil moisture. However, experimental evidence of the suitability of that technique could not be demonstrated. This work analyses from a theoretical and an experimental point of view the capabilities of polarimetric observations of GNSS reflected signals for monitoring soil moisture and vegetation biomass. The Thesis is structured in four main parts. The fi rst part examines the fundamental aspects of the technique and provides a detailed review of the GNSS-R state of the art for soil moisture and vegetation monitoring. The second part deals with the scattering models from land surfaces. A comprehensive description of the formation of scattered signals from rough surfaces is provided. Simulations with current state of the art models for bare and vegetated soils were performed in order to analyze the scattering components of GNSS reflected signals. A simpli ed scattering model was also developed in order to relate in a straightforward way experimental measurements to soil bio-geophysical parameters. The third part reviews the experimental work performed within this research. The development of a GNSS-R instrument for land applications is described, together with the three experimental campaigns carried out in the frame of this PhD Thesis. The analysis of the GNSS-R and ground truth data is also discussed within this part. As predicted by models, it was observed that GNSS scattered signals from natural surfaces are a combination of a coherent and an incoherent scattering components. A data analysis technique was proposed to separate both scattering contributions. The use of polarimetric observations for the determination of soil moisture was demonstrated to be useful under most soil conditions. It was also observed that forests with high levels of biomass could be observed with GNSS reflected signals. The fourth and last part of the Thesis provides an analysis of the technology perspectives. A GNSS-R End-to-End simulator was used to determine the capabilities of the technique to observe di erent soil reflectivity conditions from a low Earth orbiting satellite. It was determined that high accuracy in the estimation of reflectivity could be achieved within reasonable on-ground resolution, as the coherent scattering component is expected to be the predominant one in a spaceborne scenario. The results obtained in this PhD Thesis show the promising potential of GNSS-R measurements for land remote sensing applications, which could represent an excellent complementary observation for a wide range of Earth Observation missions such as SMOS, SMAP, and the recently approved ESA Earth Explorer Mission Biomass.
La humedad del suelo y la biomasa de la vegetaci on son dos parametros clave desde un punto de vista tanto cient co como econ omico. Por una parte son esenciales para el estudio del ciclo del agua y del carbono. Por otra parte, la humedad del suelo es esencial para la gesti on de las cosechas y los recursos h dricos, mientras que la biomasa es un par ametro fundamental para ciertos programas de desarrollo. Varias formas de teledetección se han utilizado para la observaci on remota de estos par ametros, sin embargo, su monitorizaci on con la precisi on y resoluci on necesarias es todav a un importante reto tecnol ogico. Esta Tesis evalua la capacidad de medir humedad del suelo y biomasa de la vegetaci on con señales de Sistemas Satelitales de Posicionamiento Global (GNSS, en sus siglas en ingl es) reflejadas sobre la Tierra. La t ecnica se conoce como Reflectometr í a GNSS (GNSS-R), la cual ha ganado un creciente inter es dentro de la comunidad científ ca durante las dos ultimas d ecadas. Experimentos previos a este trabajo ya demostraron la capacidad de observar cambios en la reflectividad del terreno con GNSS-R. El uso de la componente copolar y contrapolar de la señal reflejada fue propuesto para independizar la medida de humedad del suelo de otros par ametros como la rugosidad del terreno. Sin embargo, no se pudo demostrar una evidencia experimental de la viabilidad de la t ecnica. En este trabajo se analiza desde un punto de vista te orico y experimental el uso de la informaci on polarim etrica de la señales GNSS reflejadas sobre el suelo para la determinaci on de humedad y biomasa de la vegetaci on. La Tesis se estructura en cuatro partes principales. En la primera parte se eval uan los aspectos fundamentales de la t ecnica y se da una revisi on detallada del estado del arte para la observaci on de humedad y vegetaci on. En la segunda parte se discuten los modelos de dispersi on electromagn etica sobre el suelo. Simulaciones con estos modelos fueron realizadas para analizar las componentes coherente e incoherente de la dispersi on de la señal reflejada sobre distintos tipos de terreno. Durante este trabajo se desarroll o un modelo de reflexi on simpli cado para poder relacionar de forma directa las observaciones con los par ametros geof sicos del suelo. La tercera parte describe las campañas experimentales realizadas durante este trabajo y discute el an alisis y la comparaci on de los datos GNSS-R con las mediciones in-situ. Como se predice por los modelos, se comprob o experimentalmente que la señal reflejada est a formada por una componente coherente y otra incoherente. Una t ecnica de an alisis de datos se propuso para la separacióon de estas dos contribuciones. Con los datos de las campañas experimentales se demonstr o el bene cio del uso de la informaci on polarim etrica en las señales GNSS reflejadas para la medici on de humedad del suelo, para la mayor a de las condiciones de rugosidad observadas. Tambi en se demostr o la capacidad de este tipo de observaciones para medir zonas boscosas densamente pobladas. La cuarta parte de la tesis analiza la capacidad de la t ecnica para observar cambios en la reflectividad del suelo desde un sat elite en orbita baja. Los resultados obtenidos muestran que la reflectividad del terreno podr a medirse con gran precisi on ya que la componente coherente del scattering ser a la predominante en ese tipo de escenarios. En este trabajo de doctorado se muestran la potencialidades de la t ecnica GNSS-R para observar remotamente par ametros del suelo tan importantes como la humedad del suelo y la biomasa de la vegetaci on. Este tipo de medidas pueden complementar un amplio rango de misiones de observaci on de la Tierra como SMOS, SMAP, y Biomass, esta ultima recientemente aprobada para la siguiente misi on Earth Explorer de la ESA.
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Hong, Guowei. "Satellite image processing for remote sensing applications." Thesis, University of Central Lancashire, 1995. http://clok.uclan.ac.uk/1878/.

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This thesis investigates areas of image compression with particular reference to remote sensing imagery. The research described was carried out in four specific areas, namely, discrete cosine transform (DCT) for remote sensing imagery, lossless image compression based on conditional statistics, exploiting interband redundancy for remote sensing imagery, neural networks for lossless image compression. The effect of using standard compression algorithm (JPEG's DCT) on the remote sensing image data is investigated. This involves visual and statistical assessment of the errors produced, both in the data itself, and with reference to the results of the processing (i. e., classification) normally performed using such data. It has been reported that the DCT characteristics can be modified to achieve a trade-off between compression ratio and pixel value error. It is feasible therefore that the user of remote sensing data could find a suitable compromise that could offer some of the compression benefits offered by the DCT, while. retaining sufficient accuracy of image data for the required applications. An approach for lossless image compression using conditional statistics is investigated. That is encoding each pixel value with one of several variable-length codes depending on previous pixel values (context). The author's method achieved its aim by approximating the probability distribution function (PDF) for each context and coding the image data using arithmetic coding. Experimental results are included to show that this method has achieved some improvement in lossless image compression and can achieve an average bits per pixel lower than the zero-order entropy of the prediction-error image. In the area of exploiting interband correlation for remote sensing imagery, two new techniques, namely joint entropy coding and interband prediction, are described. Joint entropy coding is based on the idea that to code a pair of pixel values from two different bands is more effective than to code them individually if there is interband correlation among them. Interband prediction is based on the fact that the structure of one band data can generally give some information about the structure of other bands. The results demonstrate and compare the usefulness of both techniques in improving the overall lossless compression ratio for remote sensing imagery. The idea of using neural networks for lossless image coding is introduced. A novel approach to pixel prediction based on a three-layer perceptron neural network using a backpropagation learning algorithm is described, which is aimed at improving the pixel prediction accuracy, thus improving the lossless compression ratio. Experimental results show this neural network approach consistently achieves better prediction than conventional linear prediction techniques in terms of minimizing the mean square error, although the results for the overall compression ratio are not significantly improved.
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Boudreau, Sylvain. "Applications of frequency combs in remote sensing." Doctoral thesis, Université Laval, 2014. http://hdl.handle.net/20.500.11794/25325.

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Cette thèse a pour objectif l’exploration des applications potentielles des peignes de fréquences en télédétection. Pour ce faire, trois configurations expérimentales sont étudiées. Pour chacune des configurations, une analyse de divers aspects de leur fonctionnement est faite et les avantages et les inconvénients qui y sont propres sont discutés. Des montages expérimentaux basés sur ces configurations ont été fabriqués en laboratoire. Des mesures expérimentales viennent démontrer les capacités de détection des différentes techniques. La première configuration étudiée concerne l’échantillonnage passif d’une source optique externe. Cette technique permet d’évaluer le spectre de la source d’intérêt en la combinant interférométriquement avec les impulsions d’une paire de peignes de fréquences. Une étude probabiliste de la technique est effectuée afin d’en évaluer les limites de performance. Des mesures de sources cohérentes et incohérentes à haute résolution spectrale sont présentées. La deuxième technique étudiée exploite la configuration dite incohérente permettant de faire la caractérisation active d’une cible. Cette technique rend possible la mesure hyperspectrale résolue en distance d’une scène observée. Un montage expérimental de lidar hyperspectral a été conçu et fabriqué en laboratoire dans le but de faire des mesures extérieures de cibles à une distance allant jusqu’à 175 m. Les capacités de détection de plusieurs caractéristiques de cibles sont démontrées pour des cibles dures et distribuées, sous forme de nuages d’aérosols. Des mesures de raies d’absorption moléculaire, ainsi que d’épaisseur d’échantillons transparents et translucides, sont présentées. La troisième configuration étudiée, dite cohérente, permet de faire de la mesure active d’une cible en utilisant un des trains d’impulsions comme oscillateur local. L’utilisation d’un oscillateur local ouvre la porte à des mesures de vibrométrie à haute sensibilité, ce qui est impossible en configuration incohérente. Un modèle analytique de collecte de puissance pour les systèmes à un seul mode transversal, permettant de prédire les puissances en jeu en configuration cohérente, est développé et validé expérimentalement. La technique de référencement habituelle, permettant de corriger les erreurs causées par les fluctuations des paramètres des peignes, est modifiée et adaptée aux mesures de vibrométrie cohérente. Des mesures de vibrométrie résolue en distance sont présentées, où la capacité du système à démoduler une voix humaine à partir des vibrations d’un mur est démontrée.
The goal of this thesis is to explore the potential applications of frequency combs for remote sensing. For this purpose, three comb-based configurations are studied. For each of these configurations, an analysis of their workings is performed and their advantages and disadvantages are discussed. Experimental setups based on those configurations were built in laboratory. The detection capabilities of the techniques are demonstrated through experimental measurements. The first configuration that is studied enables passive sampling of an external optical source. Using this technique, it is possible to compute the spectrum of the considered source by interferometrically combining it with the pulses from a pair of frequency combs. A stochastic study of the technique is performed to assess its performance limits. Coherent and incoherent sources with high-resolution spectral content are measured. The second technique uses a configuration called incoherent that enables active characterization of a target. Using this technique, it is possible to perform range-resolved hyperspectral measurements of an observed scene. A hyperspectral lidar setup was designed and assembled in laboratory with the goal of performing outdoors measurements of targets at distances up to 175 m. The sensing capabilities of the system are shown for hard and distributed targets, in the form of aerosol clouds. Molecular absorption measurements, as well as thickness measurements for both transparent and translucent targets, are shown. Using the coherent configuration, which is the third one that was considered, it is possible to make active measurements of a target by using one of the pulse trains as a local oscillator. The use of a local oscillator opens the door to high sensitivity vibrometry, which is impossible with the incoherent configuration. An analytical model for the power collection capabilities of a single-transverse-mode system, which has to be used for coherent measurements, is developed and experimentally validated. The usual referencing technique, which is used to correct for fluctuations in comb parameters, is modified and adapted to the case of coherent vibrometry. Range-resolved vibrometry measurements are performed, demonstrating the capability of the system to extract a human voice signal from the vibrations of a wall.
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Teterukovskiy, Alexei. "Computational statistics with environmental and remote sensing applications /." Umeå : Dept. of Forest Economics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s277.pdf.

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Chon, Suet-ling, and 莊雪玲. "Remote sensing applications in studying marine biological processes." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31255826.

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Miller, S. T. "Remote sensing applications to flood hydrology in Belize." Thesis, Aston University, 1986. http://publications.aston.ac.uk/14242/.

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The research compares the usefullness of four remote sensing information sources, these being LANDSAT photographic prints, LANDSAT computer compatible tapes, Metric Camera and SIR-A photographic prints. These sources provide evaluations of the catchment characteristics of the Belize and Sibun river basins in Central America. Map evaluations at 1:250,000 scale are compared to the results of the same scale, remotely sensed information sources. The values of catchment characteristics for both maps and LANDSAT prints are used in multiple regression analysis, providing flood flow formulae, after investigations to provide a suitable dependent variable discharge series are made for short term records. The use of all remotely sensed information sources in providing evaluations of catchment characteristics IS discussed. LANDSAT prints and computer compatible tapes of a post flood scene are used to estimate flood distributions and volumes. These are compared to values obtained from unit hydrograph analysis, using the dependent discharge series and evaluate the probable losses from the Belize river to the floodplain, thereby assessing the accuracy of LANDSAT estimates. Information relating to flood behaviour is discussed in terms of basic image presentation as well as image processing. A cost analysis of the purchase and use of all materials is provided. Conclusions of the research indicate that LANDSAT print material may provide information suitable for regression analysis at levels of accuracy as great as those of topographic maps, that the differing information sources are uniquely applicable and that accurate estimates of flood volumes may be determined even by post flood imagery.
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Bahadori, Keyvan. "Spaceborne reflector antennas for advanced remote sensing applications." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1562125061&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Books on the topic "Laboratory for Applications of Remote Sensing"

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International Symposium on Machine Processing of Remotely Sensed Data (11th 1985 Purdue University). Machine processing of remotely sensed data: With special emphasis on quantifying global process : models, sensor systems, and analytical methods : eleventh international symposium, June 25-27, 1985, Purdue University, Laboratory for Applications of Remote Sensing, West Lafayette, Indiana. West Lafayette, Ind: Purdue Research Foundation, 1985.

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A, Kropfli Robert, and Wave Propagation Laboratory, eds. Remote sensing techniques of the Wave Propagation Laboratory for the measurement of supercooled liquid water: Applications to aircraft icing. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1989.

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

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Singal, S. P., ed. Acoustic Remote Sensing Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0009557.

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P, Singal S., ed. Acoustic remote sensing applications. Berlin: Springer-Verlag, 1997.

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Saied, Pirasteh, Ahmad Rodzi Mahmud, Mahmoodzadeh Amir, and Penerbit Universiti Putra Malaysia, eds. Remote sensing & GIS applications. Serdang: Universiti Putra Malaysia Press, 2009.

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Motoyoshi, Ikeda, and Dobson F, eds. Oceanographic applications of remote sensing. Boca Raton: CRC Press, 1995.

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Dong, Pinliang, and Qi Chen. LiDAR Remote Sensing and Applications. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2017. http://dx.doi.org/10.4324/9781351233354.

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Narayan, L. R. A. Remote sensing and its applications. Hyderabad: Universities Press (India), 1999.

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Remote sensing: Methods and applications. New York: Wiley, 1986.

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Book chapters on the topic "Laboratory for Applications of Remote Sensing"

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Shkvarko, Yuriy, Stewart Santos, and Jose Tuxpan. "Intelligent Experiment Design-Based Virtual Remote Sensing Laboratory." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 1021–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10268-4_119.

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Gao, Ming. "Earth Observation Payloads and Data Applications of Tiangong-2 Space Laboratory." In Proceedings of the Tiangong-2 Remote Sensing Application Conference, 1–13. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3501-3_1.

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Chu, Benjamin. "Possible Application of Laser Light Scattering to Remote Sensing." In From Laboratory Spectroscopy to Remotely Sensed Spectra of Terrestrial Ecosystems, 61–83. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-1620-8_3.

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Yu, Haijun, Bo Wang, Wanfeng Zhang, and Tao Zhang. "A Management and Service Approach for Mass Remote Sensing Data of Tiangong-2 Space Laboratory." In Proceedings of the Tiangong-2 Remote Sensing Application Conference, 160–69. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3501-3_15.

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Khorram, Siamak, Frank H. Koch, Cynthia F. van der Wiele, and Stacy A. C. Nelson. "Oceanographic and Planetary Applications." In Remote Sensing, 95–112. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3103-9_6.

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Li, Xiaofan, and Shouting Gao. "Remote Sensing Applications." In Cloud-Resolving Modeling of Convective Processes, 293–307. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26360-1_15.

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Khorram, Siamak, Frank H. Koch, Cynthia F. van der Wiele, and Stacy A. C. Nelson. "Using Remote Sensing for Terrestrial Applications." In Remote Sensing, 63–80. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3103-9_4.

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Khorram, Siamak, Frank H. Koch, Cynthia F. van der Wiele, and Stacy A. C. Nelson. "Using Remote Sensing in Atmospheric Applications." In Remote Sensing, 81–94. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3103-9_5.

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Gupta, Ravi Prakash. "Geological Applications." In Remote Sensing Geology, 223–309. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-12914-2_13.

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Gupta, Ravi Prakash. "Geological Applications." In Remote Sensing Geology, 429–592. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05283-9_16.

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Conference papers on the topic "Laboratory for Applications of Remote Sensing"

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Maki, Arthur G., Alan S. Pine, Joseph S. Wells, Don A. Jennings, Andre Fayt, and Aaron Goldman. "Laboratory Studies of the Infrared Spectra of Atmospheric Species." In Optical Remote Sensing. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.tuc6.

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We are involved in making laboratory measurements that will provide data useful for remote sensing applications with particular emphasis on upper atmospheric species such as HNO3, NO, N2O, OCS, and O3. In the following sections we describe the results of recent new measurements on HNO3, NO, and N2O.
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Radziemski, Leon J. "Applications of Laser-Induced Breakdown Spectroscopy." In Optical Remote Sensing. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.tha2.

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The focusing of a modestly energetic pulsed laser beam (E ≳ 10 mJ) can lead to a breakdown plasma which may be used for qualitative and quantitative spectrochemistry. Although the precision of the method is poorer than that of conventional spectrochemical techniques, the method has distinct advantage in certain circumstances. (1) The plasma can be generated without electrodes, hence non-invasive (but destructive) analysis is possible in hostile environments. (2) Being an emission technique, simultaneous multi-element analysis is possible. (3) The plasma can be made almost arbitrarily small, allowing microanalysis of samples. (4) In contrast to common laser microprobe techniques, auxiliary analysis is not required, simplifying the instrument package and reducing the cost. (5) A variety of sample forms can be interrogated, conducting or nonconducting solids, as well as liquids and gases. (6) Preparative chemistry of the sample is not required, allowing truly real-time analysis. The latter fact is a two-edged sword. Real samples are often inhomogeneous, and their sampling leads to reduced precision. The method is limited to elemental analysis, because the plasma dissociates molecules. In general the precision of the results is not high, although detection limits can be quite good, as indicated below. The applications for this technique will not be those amenable to conventional laboratory spectro-chemistry, they will be the ingenious ideas of the frustrated analyst. The review given here cannot be all-inclusive. I have chosen examples which indicate the breadth of applications, and obviously ones with which I am familiar. The early history of laser plasma spectrochemistry is reviewed by Laqua (1).
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Sang, Fengqiao, Victoria Rosborough, Joseph Fridlander, Fabrizio Gambini, Simone Šuran Brunelli, Jeffrey R. Chen, Stephan R. Kawa, et al. "Monolithic Indium Phosphide Photonic Integrated Circuit for Remote Lidar Active Carbon Dioxide Sensing." In CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_at.2022.am2k.6.

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A monolithic indium phosphide photonic integrated circuit was designed and fabricated for remote active carbon dioxide sensing. Successful measurement of carbon dioxide in a laboratory setting under pulsed sampling was demonstrated.
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Miyamura, Norihide. "Laboratory test results for adaptive optics using image-based wavefront sensing for remote sensing." In 2011 International Conference on Space Optical Systems and Applications (ICSOS). IEEE, 2011. http://dx.doi.org/10.1109/icsos.2011.5783669.

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García-Meléndez, Eduardo, Esther Carrillo, Raimon Pallàs, Maria Ortuño, Montserrat Ferrer-Julià, Eulàlia Masana, and Elena Colmenero-Hidalgo. "Laboratory and field reflectance spectroscopy as a tool for sedimentary correlations in Paleoseismology." In Earth Resources and Environmental Remote Sensing/GIS Applications XII, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2600280.

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Woods, P. T., B. W. Jolliffe, M. J. T. Milton, N. R. Swann, W. Bell, N. A. Martin, T. D. Gardiner, P. F. Fogal, and D. G. Murcray. "Remote Sensing Techniques for Stratospheric and Tropospheric Gas Monitoring." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.tud.26.

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The National Physical Laboratory is involved with the development and utilisation of different laser-based and other spectroscopic remote sensing techniques for a range of different atmospheric monitoring applications. These include:
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Cruz, Juncal A., Ismael Coronado, Montserrat Ferrer-Julià, Lourdes Fernández-Díaz, Eduardo Garcia-Melendez, Elena Colmenero-Hidalgo, and E. Fernández-Martínez. "Application of laboratory reflectance spectroscopy in the characterization of uranium-bearing minerals associated with fossils remains." In Earth Resources and Environmental Remote Sensing/GIS Applications XII, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2021. http://dx.doi.org/10.1117/12.2600332.

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Cardoso-Fernandes, Joana, João Silva, Alexandre Lima, Ana Claudia Teodoro, Monica Perrotta, Jean Cauzid, and Encarnacion Roda-Robles. "Characterization of lithium (Li) minerals from the Fregeneda-Almendra region through laboratory spectral measurements: a comparative study." In Earth Resources and Environmental Remote Sensing/GIS Applications XI, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2020. http://dx.doi.org/10.1117/12.2573941.

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Chan, Kinpui, and Jack L. Bufton. "CO2 Laser Pre-Amplifier for Lidar Application." In Laser and Optical Remote Sensing: Instrumentation and Techniques. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/lors.1987.wc3.

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A laser pre-amplifier based on the multiple-pass geometry inside a low-pressure, pulsed CO2 laser discharge has been developed for lidar applications near 10 μm wavelength. The laser pre-amplifier produces a gain pulse on the order of 100 μsec duration with peak power gains as large as 1000 (30db). Design considerations, predicted preformance, and initial laboratory test results for this laser pre-amplifier have been previously presented (refs. 1 & 2). In this paper we report the results of a series of laboratory tests on the pulsed gain and gain stability when this laser pre-amplifier is used with a CO2 TEA laser source. These measurements form the basis for application of the pre-amplfier to enhanced direct-detection in a CO2 lidar.
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Whitbourn, L. B., T. J. Cudahy, Jonathan F. Huntington, P. M. Connor, P. Mason, R. N. Phillips, and Peter Hausknecht. "Airborne and laboratory remote sensing applications of the CSIRO CO 2 laser spectrometer MIRACO 2 LAS." In AeroSense '97, edited by Ram M. Narayanan and James E. Kalshoven, Jr. SPIE, 1997. http://dx.doi.org/10.1117/12.277604.

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Reports on the topic "Laboratory for Applications of Remote Sensing"

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Gerstl, S. A., B. J. Cooke, B. G. Henderson, S. P. Love, and A. Zardecki. Remote sensing science - new concepts and applications. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/380358.

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Bolton, W., M. Lapp, J. Jr Vitko, and G. Phipps. Environmental monitoring: civilian applications of remote sensing. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/506899.

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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.

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Bartz, James A., Isaac Ruiz, Stephen W. Howell, Shiyuan Gao, Michael L. Thomas, and Jessica Depoy. Exploration of Two-Dimensional Materials for Remote Sensing Applications. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1603853.

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Jessup, Andrew T., Robert A. Holman, and Steve Elgar. DARLA: Data Assimilation and Remote Sensing for Littoral Applications. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada572934.

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Jessup, Andrew T., Robert A. Holman, and Steve Elgar. DARLA: Data Assimilation and Remote Sensing for Littoral Applications. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598022.

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Jessup, Andrew T., Chris Chickadel, Gordon Farquharson, Jim Thomson, Robert A. Holman, Merrick Haller, Alexander Kuropov, Tuba Ozkan-Haller, Steve Elgar, and Britt Raubenheimer. DARLA: Data Assimilation and Remote Sensing for Littoral Applications. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada557219.

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Powers, B. J. Cooling tower and plume modeling for satellite remote sensing applications. Office of Scientific and Technical Information (OSTI), May 1995. http://dx.doi.org/10.2172/69339.

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Lal, Anisha M., Ali A. Abdulla, and Aju Dennisan. Remote Sensing Image Restoration for Environmental Applications Using Estimated Parameters. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, August 2018. http://dx.doi.org/10.7546/crabs.2018.08.11.

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M.A. Ebadian, Ph D. REVIEW OF REMOTE SENSING TECHNOLOGIES AND DATA FOR DOE-EM APPLICATIONS. Office of Scientific and Technical Information (OSTI), January 1999. http://dx.doi.org/10.2172/772512.

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