Academic literature on the topic 'Ground-based data'

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Journal articles on the topic "Ground-based data"

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Xiaofeng Li, Xiaofeng Li, Jun Xu Jun Xu, Jijun Luo Jijun Luo, Lijia Cao Lijia Cao, and Shengxiu Zhang Shengxiu Zhang. "Ground target recognition based on imaging LADAR point cloud data." Chinese Optics Letters 10, s1 (2012): S11002–311005. http://dx.doi.org/10.3788/col201210.s11002.

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Дашкевич, Жанна, Zhanna Dashkevich, Владимир Иванов, and Vladimir Ivanov. "Estimated nitric oxide density in auroras from ground-based photometric data." Solar-Terrestrial Physics 5, no. 1 (2019): 58–61. http://dx.doi.org/10.12737/stp-51201908.

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In this paper, we numerically estimate the nitric oxide density in auroras, using photometric data on 427.8, 557.7, and 630.0 nm emission intensities. The data were obtained at midnight at observatories of the Polar Geophysical Institute. These estimates were made using a numerical modeling procedure with a time-dependent model of the auroral ionosphere [Dashkevich et al., 2017]. It is shown that the NO density in the maximum of the altitude profile is between (1÷3.3)∙10^8 cm–3. The obtained estimates indicate the absence of a correlation between the [NO]max values and 427.8 nm emission intens
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Kepler, S. O. "Session1A: DATA − Ground-based observations." Communications in Asteroseismology 157 (2009): 23–62. http://dx.doi.org/10.1553/cia157s23.

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Priya, R., and Dr R. Mallika. "Ground Water Quality Modelling Using Data Mining Techniques and Artificial Neural Network Based Approach." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 1001–7. http://dx.doi.org/10.5373/jardcs/v11sp10/20192897.

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Kleshchenko, A. D., V. V. Asmus, A. I. Strashnaya, et al. "Drought Monitoring Based on Ground and Satellite Data." Russian Meteorology and Hydrology 44, no. 11 (2019): 772–81. http://dx.doi.org/10.3103/s1068373919110074.

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Eresmaa, R., H. Järvinen, S. Niemelä, and K. Salonen. "Asymmetricity of ground-based GPS slant delay data." Atmospheric Chemistry and Physics 7, no. 12 (2007): 3143–51. http://dx.doi.org/10.5194/acp-7-3143-2007.

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Abstract. The ground-based measurements of the Global Positioning System (GPS) allow estimation of the tropospheric delay along the slanted signal paths through the atmosphere. The meteorological exploitation of such slant delay (SD) observations relies on the hypothesis of azimuthal asymmetry of the information content. This article addresses the validity of the hypothesis. A new concept of asymmetricity is introduced for studying the SD observations and their model counterparts. The asymmetricity is defined as the ratio of the absolute asymmetric delay component to total SD. The model counte
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Andersen, Kristoffer R., Casper Kirkegaard, Esben Auken, and Anders V. Christiansen. "Towards 3D inversion of ground based TEM data." ASEG Extended Abstracts 2016, no. 1 (2016): 1–5. http://dx.doi.org/10.1071/aseg2016ab243.

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Sharma, Niranjan Prasad. "Validation of Satellite Estimated Solar Ultraviolet Radiation Data with Ground Based data in Kathmandu, Nepal." Journal of the Institute of Engineering 11, no. 1 (2016): 101–7. http://dx.doi.org/10.3126/jie.v11i1.14701.

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The main objective of this study is to validate the satellite estimated solar Ultraviolet radiation data with ground based data in Kathmandu (27.72 N, 85.32 E), located at an elevation of 1350m, from the sea level. The ground based measurement and the satellite estimation were performed by NILU-UV irradiance meter and EOS Aura OMI satellite respectively. The NILU-UV irradiance meter is a six channel 0 0 radiometer designed to measure hemispherical irradiances on a fat surface. Meanwhile the Ozone Monitoring Instrument (OMI) on board, the NASA EOS Aura space craft is a nadir viewing spectromete
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Denisenko, Valery, and Andrey Lyakhov. "Comparison of ground-based and satellite data on spatiotemporal distribution of lightning discharges under solar minimum." Solar-Terrestrial Physics 7, no. 4 (2021): 104–12. http://dx.doi.org/10.12737/stp-74202112.

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Worldwide maps of lightning activity have been obtained from the ground-based World Wide Lightning Location Network (WWLLN) for 2007–2009. We have compiled these maps separately for different seasons and UT periods, using WWLLN data on the time and coordinates of each of the recorded lightning. The total number of flashes of lightning in WWLLN data is by an order of magnitude smaller than in satellite data from Optical Transient Detector and the Lightning Imaging Sensor satellites. However, the key features of the spatial distribution and seasonal trends coincide well. The main difference obse
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Tavakol, Ameneh, Kelsey R. McDonough, Vahid Rahmani, Stacy L. Hutchinson, and J. M. Shawn Hutchinson. "The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data." Remote Sensing Applications: Society and Environment 24 (November 2021): 100649. http://dx.doi.org/10.1016/j.rsase.2021.100649.

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Dissertations / Theses on the topic "Ground-based data"

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Skelton, Michael T. "AN INTEGRATED GROUND BASED DATA ACQUISITION AND REDUCTION SYSTEM." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615724.

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International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada<br>An integrated ground data acquisition and reduction facility for monitoring rocket motor testing is being implemented for a large commercial client at their northern Utah test site. This system is capable of recording and processing in near real time large amounts of data from varied types of instrumentation. The system was developed as a stand alone data gathering and processing center and consists of one-of-a-kind integrating hardware, commercial off-the-shelf hardware and a DEC VAX
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Jacquet, Gottfried. "Hybrid physics-based/data-based seismic ground motion generator of a site." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST035.

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L'estimation précise de la réponse sismique suite à un tremblement de terre permet de sauver des vies. Toutefois, la limitation des ressources informatiques et la variabilité méconnue et mal caractérisée de la géologie et du con- texte sismotectonique posent des défis significatifs pour les simulations à l'échelle d'une ville ou d'une région. Cette thèse propose une nouvelle approche combinant les méthodes d'apprentissage adverse (adversarial) et les simulations basées sur la physique pour surmonter ces limitations, en s'appuyant sur le cadre SeismoALICE, (F. GATTI et D. CLOUTEAU: "Towards blend
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Altintas, Suleyman Serkan. "Attenuation Relationship For Peak Ground Velocity Based On Strong Ground Motion Data Recorded In Turkey." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12608067/index.pdf.

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Estimation of the ground motion parameters is extremely important for engineers to make the structures safer and more economical, so it is one of the main issues of Earthquake Engineering. Peak values of the ground motions obtained either from existing records or with the help of attenuation relationships, have been used as a useful parameter to estimate the effect of an earthquake on a specific location. Peak Ground Velocities (PGV) of a ground motion is used extensively in the recent years as a measure of intensity and as the primary source of energy-related analysis of structures. Consequ
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Henning, Jason Gregory. "Modeling Forest Canopy Distribution from Ground-Based Laser Scanner Data." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/28431.

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A commercially available, tripod mounted, ground-based laser scanner was used to assess forest canopies and measure individual tree parameters. The instrument is comparable to scanning airborne light detection and ranging (lidar) technology but gathers data at higher resolution over a more limited scale. The raw data consist of a series of range measurements to visible surfaces taken at known angles relative to the scanner. Data were translated into three dimensional (3D) point clouds with points corresponding to surfaces visible from the scanner vantage point. A 20 m x 40 m permanent plot loc
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Jungner, Andreas. "Ground-Based Synthetic Aperture Radar Data processing for Deformation Measurement." Thesis, KTH, Geodesi och satellitpositionering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199677.

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This thesis describes a first hands-on experience working with a Ground-Based Synthetic Aperture Radar (GB-SAR) at the Institute of Geomatics in Castelldefels (Barcelona, Spain), used to exploit radar interferometry usually employed on space borne platforms. We describe the key concepts of a GB-SAR as well as the data processing procedure to obtain deformation measurements. A large part of the thesis work have been devoted to development of GB-SAR processing tools such as coherence and interferogram generation, automating the co-registration process, geocoding of GB-SAR data and the adaption o
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Das, Satyaki. "Tools for Comparing ICON EUV Data with Different Ground Based and Space-based Proxies." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/90371.

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The ionosphere is the part of Earth's upper atmosphere, from about 60 km to 1,000 km altitude and contains ionized particles and plasma. In this region at about 150 kilometers above the surface of the earth starts the F region and it extends up to 500 kilometers. The Ionosphere is filled with tenuous gases and is a mixture of neutral and charged particles. These winds do not follow any flow pattern and changes with season, the day's heating and cooling, and incoming bursts of radiation from the sun. In order to study the behavior of these ions and understand this complicated region, NASA has
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Segler, Kendra Adele, and Kendra Adele Segler. "Vegetation and Rainfall Dynamics in Niger Using NDVI and Ground-Based Data." Thesis, The University of Arizona, 1993. http://hdl.handle.net/10150/626831.

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An analysis of NOAA'S Advanced Very High Resolution Radiometer (AV HRR) Normalized Difference Vegetation Index (NOVI) was made with gauged rainfall data and potential evapotranspiration estimates ( derived from the Penman equation) for the Republic of Niger's 1985 through 1992 rainy season. The purpose of this study is to (1) analyze the spatial and temporal variations in ground-derived NOVI in the Republic of Niger during the 1992 rainy season, (2) examine the variability and strength of the long-term and interannual relationship between satellite derived NOVI, grouped rainfall and
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Kalyadin, Dmitry. "Robot data and control server for Internet-based training on ground robots." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002111.

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Schoberg, Paul R. "Secure ground-based remote recording and archiving of aircraft "Black Box" data." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FSchoberg.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2003.<br>Thesis advisor(s): Cynthia E. Irvine, Scott Cote. Includes bibliographical references (p. 169-171). Also available online.
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Cierpik, Kim Melissa. "Combining ground-based and space-based data to study tides in the mesosphere and lower thermosphere." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/dissertations/fullcit/3165822.

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Books on the topic "Ground-based data"

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Filonchyk, Mikalai, and Haowen Yan. Urban Air Pollution Monitoring by Ground-Based Stations and Satellite Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-78045-0.

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A, Albrecht Miguel, Pasian F, European Southern Observatory, Osservatorio astronomico di Trieste, and ESO-OAT International Workshop Handling and Archiving Data from Ground-based Telescopes (1993 : Trieste, Italy), eds. Handling & archiving data from ground-based telescopes: Trieste, April 21-23, 1993. European Southern Observatory, 1994.

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Whyatt, J. K. Microcomputer-based instrumentation system for monitoring ground support in a deep mine shaft. U.S. Dept. of the Interior, Bureau of Mines, 1985.

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A, Haering Edward, Whitmore Stephen A, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. FORTRAN program for analyzing ground-based radar data: Usage and derivations, version 6.2. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1995.

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United States. National Aeronautics and Space Administration., ed. Ground-based studies of emission-line variability: Recent results for NGC 5548 and future plans. Dept. of Astronomy, Ohio State University, 1990.

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Shirō, Hatakeyama, Kokuritsu Kankyō Kenkyūjo. Chikyū Kankyō Kenkyū Sentā., and Kokuritsu Kankyō Kenkyūjo, eds. Data of IGAC/APARE/PEACAMPOT aircraft and ground based observations: '91-'95 collective volume. Center for Global Environmental Research, 1998.

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United States. National Aeronautics and Space Administration., ed. Research and development for onboard navigation (ONAV) ground based expert/trainer system: Test report. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1988.

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Bochsler, Daniel C. Research and development for onboard navigation (ONAV) ground based expert/trainer system: Final user's guide. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1988.

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United States. National Aeronautics and Space Administration., ed. Research and development for onboard navigation (ONAV) ground based expert/trainer system: Preliminary user's guide. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1988.

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United States. National Aeronautics and Space Administration., ed. Research and development for onboard navigation (ONAV) ground based expert/trainer system: Revised preliminary test plan. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1988.

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Book chapters on the topic "Ground-based data"

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Lam, Steve Y. W., and Yong-Qi Chen. "Ground-Based Positioning Techniques." In Geographical Data Acquisition. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6183-8_6.

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Weems, Jon, and Martin Zell. "Space and Ground-Based Infrastructures." In Laboratory Science with Space Data. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21144-7_2.

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Wyatt, William F., and John C. Geary. "UNIXTMand Data Collection in Astronomy." In Instrumentation for Ground-Based Optical Astronomy. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3880-5_62.

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Baldwin, J. A. "A User’s View of Data Reduction Systems." In Instrumentation for Ground-Based Optical Astronomy. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3880-5_38.

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Cohen, Judith G. "The FIGARO Package for Astronomical Data Analysis." In Instrumentation for Ground-Based Optical Astronomy. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3880-5_43.

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Tong, Xiaoyao, Yuxi Ma, Yuan Xue, Quanxin Zhang, Yuanzhang Li, and Yu-an Tan. "Anti Intelligent Mine Unmanned Ground Vehicle Based on Reinforcement Learning." In Data Mining and Big Data. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7502-7_7.

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Stover, R. J. "The VISTA Astronomical CCD Data Reduction and Analysis Software." In Instrumentation for Ground-Based Optical Astronomy. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3880-5_42.

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Jorden, P. R. "Introduction to Session on Instrument Control and Data Acquisition." In Instrumentation for Ground-Based Optical Astronomy. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3880-5_59.

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Kjeldsen, H. "Space and Ground Based Data for Asteroseismology." In Asteroseismology Across the HR Diagram. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0799-2_1.

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Crosetto, Michele, Oriol Monserrat, Guido Luzi, María Cuevas, and Núria Devanthéry. "Deformation Monitoring Using Ground-Based SAR Data." In Engineering Geology for Society and Territory - Volume 5. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09048-1_27.

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Conference papers on the topic "Ground-based data"

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Kim, Ji Hoon, Myungshin Im, Hyungmok Lee, Seo-Won Chang, Hyeonho Choi, and Gragory S. Paek. "Introduction to the 7-Dimensional Telescope: commissioning procedures and data characteristics." In Ground-based and Airborne Telescopes X, edited by Heather K. Marshall, Jason Spyromilio, and Tomonori Usuda. SPIE, 2024. http://dx.doi.org/10.1117/12.3019546.

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Yoshihiko, Omata. "Measurement data and evaluation result of CLEARCERAM-Z 1.5m diameter mirror blanks for the TMT M1 segment blanks." In Ground-based and Airborne Telescopes X, edited by Heather K. Marshall, Jason Spyromilio, and Tomonori Usuda. SPIE, 2024. http://dx.doi.org/10.1117/12.3019368.

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Zhou, Ziyi, Kaiwen Zhu, Peiyao Liu, Zhen Wang, Zegang Ding, and Minkun Liu. "Ground-based Radar Tomography for the Moon Based on ADMM-Net." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868631.

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Zhang, Na, Chen Yan, Chenrui Tian, Gen Li, Zegang Ding, and Zehua Dong. "Asteroid Spin State Determination with Ground-Based Radar Techniques." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868574.

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Qi, Jingshuang, Jian Wang, Xiaoxiao Li, Longyue Wang, Yunkai Deng, and Weiming Tian. "Fast Processing Techniques for Ground-Based Differential Interferometric Radar Based on Embedded GPU." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868165.

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Yang, Yuewen, Peiyao Liu, Kaiwen Zhu, Zhen Wang, Tao Sun, and Zegang Ding. "Multi-angle Image Fusion in Ground-based Radar Lunar Imaging Based on Image Kurtosis." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10867906.

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Liu, Yuhao, Bochen Zhang, and Mi Jiang. "Deformation Monitoring of Xijiang Railway Bridge with Ground-based Radar Interferometry." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868177.

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Lu, Jinfan, Yuewen Yang, Kaiwen Zhu, Zhen Wang, Linghao Li, and Zegang Ding. "Analysis of Antenna Pointing Error for Ground-Based Radar Lunar Imaging." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868751.

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Xu, Yufan, Peng Chen, Yaqian Li, Junjie Lai, Qiang Chen, and Xiongxiong He. "Bernoulli Effect and Deep Learning Based Ground Height Sensing for Micro Quadrotors." In 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). IEEE, 2025. https://doi.org/10.1109/ddcls66240.2025.11064975.

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Zhang, Chengxiang, and Yin Xiang. "Ground-Based Radar Imaging for Space Debris Based on Generalized Radon Fourier Transform." In 2024 IEEE 4th International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). IEEE, 2024. https://doi.org/10.1109/iciba62489.2024.10868381.

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Reports on the topic "Ground-based data"

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Parker, Nancy, Simone Whitecloud, Komi Messan, et al. Estimating forest parameters using ground-based techniques with implications for airborne data. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/33620.

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Carlberg, Matthew, James Andrews, Peiran Gao, and Avideh Zakhor. Fast Surface Reconstruction and Segmentation with Ground-Based and Airborne LIDAR Range Data. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada538860.

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Cogan, James, Edward Measure, and Daniel Wolfe. Atmospheric Soundings in Near Real Time from Combined Satellite and Ground-Based Remotely Sensed Data. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada375760.

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Elliott, Julia. Ground-Based Midcourse Defense (GMD) Northeast Remote In-Flight Interceptor Communication System Data Terminal (IDT). Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425553.

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Ednie, M., and S. L. Smith. Establishment of community-based permafrost monitoring sites and initial ground thermal data, Baffin region, Nunavut. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2011. http://dx.doi.org/10.4095/287873.

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Engel, Chandler, Rachel Hastings, Jeremy Giovando, Eric Gabel, Caroline Duncan, and Travis Dahl. Summary of ground-based snow measurements for the Northeastern United States. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44122.

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Snow is an important resource for both communities and ecosystems of the Northeastern United States. Both flood risk management and water supply forecasts for major municipalities, including New York City, depend on the collection of snowpack information. Therefore, the purpose of this study is to summarize all of the snowpack data from ground-based networks currently available in the Northeast. The collection of snow-depth and snow water equivalent information extends back several decades, and there are over 2,200 active sites across the region. Sites are distributed across the entire range o
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Mosalam, Khalid, Issac Pang, and Selim Gunay. Towards Deep Learning-Based Structural Response Prediction and Ground Motion Reconstruction. Pacific Earthquake Engineering Research Center, 2025. https://doi.org/10.55461/ipos1888.

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This research presents a novel methodology that uses Temporal Convolutional Networks (TCNs), a state-of-the-art deep learning architecture, for predicting the time history of structural responses to seismic events. By leveraging accelerometer data from instrumented buildings, the proposed approach complements traditional structural analysis models, offering a computationally efficient alternative to nonlinear time history analysis. The methodology is validated across a broad spectrum of structural scenarios, including buildings with pronounced higher-mode effects and those exhibiting both line
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Rowe, Charlotte Anne. Measuring and Modeling the Earth's Gravity - Introduction to Ground-Based Gravity Surveys and Analysis of Local Gravity Data. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1409812.

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O'Neill, H. B., S. A. Wolfe, and C. Duchesne. Ground ice map of Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330294.

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This Open File presents national-scale mapping of ground ice conditions in Canada. The mapping depicts a first-order estimate of the combined volumetric percentage of excess ice in the top 5 m of permafrost from segregated, wedge, and relict ice. The estimates for the three ice types are based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019), and informed by available published values of ground ice content and expert knowledge. The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations bet
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Brandenberg, Scott, Jonathan Stewart, Kenneth Hudson, Dong Youp Kwak, Paolo Zimmaro, and Quin Parker. Ground Failure of Hydraulic Fills in Chiba, Japan and Data Archival in Community Database. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2024. http://dx.doi.org/10.55461/amnh7013.

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This report describes analysis of ground failure and lack thereof observed in the Mihama Ward portion of Chiba, Japan following the 2011 M9.0 Tohoku Earthquake. In conjunction with this work, we have also significantly expanded the laboratory component of the Next Generation Liquefaction (NGL) relational database. The district referred to as Mihama Ward is on ground composed of hydraulic fill sluiced in by pipes, thereby resulting in a gradient of soil coarseness, with coarser soils deposited near the pipes and fine-grained soils carried further away. Observations from local researchers at Chi
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