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Статті в журналах з теми "Height uncertainty":
Mülmenstädt, Johannes, Odran Sourdeval, David S. Henderson, Tristan S. L'Ecuyer, Claudia Unglaub, Leonore Jungandreas, Christoph Böhm, Lynn M. Russell, and Johannes Quaas. "Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset." Earth System Science Data 10, no. 4 (December 14, 2018): 2279–93. http://dx.doi.org/10.5194/essd-10-2279-2018.
Gibson, J., and M. Buchheit. "Tracking Uncertainty in Derived Height Data." Cartographica: The International Journal for Geographic Information and Geovisualization 33, no. 1 (April 1996): 3–10. http://dx.doi.org/10.3138/e247-5528-364w-4n67.
Mysen, E. "On the uncertainty of height anomaly differences predicted by least-squares collocation." Journal of Geodetic Science 10, no. 1 (October 5, 2020): 53–61. http://dx.doi.org/10.1515/jogs-2020-0111.
Jicha, Otakar, Pavel Pechac, Vaclav Kvicera, and Martin Grabner. "On the Uncertainty of Refractivity Height Profile Measurements." IEEE Antennas and Wireless Propagation Letters 10 (2011): 983–86. http://dx.doi.org/10.1109/lawp.2011.2168370.
Fortin, Mathieu, and Josianne DeBlois. "A statistical estimator to propagate height prediction errors into a general volume model." Canadian Journal of Forest Research 40, no. 10 (October 2010): 1930–39. http://dx.doi.org/10.1139/x10-107.
Huang, Huabing, Caixia Liu, and Xiaoyi Wang. "Constructing a Finer-Resolution Forest Height in China Using ICESat/GLAS, Landsat and ALOS PALSAR Data and Height Patterns of Natural Forests and Plantations." Remote Sensing 11, no. 15 (July 24, 2019): 1740. http://dx.doi.org/10.3390/rs11151740.
Edelman, G., and I. Alberink. "Height measurements in images: how to deal with measurement uncertainty correlated to actual height." Law, Probability and Risk 9, no. 2 (December 8, 2009): 91–102. http://dx.doi.org/10.1093/lpr/mgp033.
Liu, Zhi Yi, Xiao Dong Wang, and Shun Kang. "Non-Deterministic CFD Simulations on the Effect of Uncertain Tip Clearance on an Axial Rotor Performance." Advanced Materials Research 860-863 (December 2013): 1499–505. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.1499.
Siuta, David, Gregory West, Roland Stull, and Thomas Nipen. "Calibrated Probabilistic Hub-Height Wind Forecasts in Complex Terrain." Weather and Forecasting 32, no. 2 (March 6, 2017): 555–77. http://dx.doi.org/10.1175/waf-d-16-0137.1.
Gautam, Deepak, Christopher Watson, Arko Lucieer, and Zbyněk Malenovský. "Error Budget for Geolocation of Spectroradiometer Point Observations from an Unmanned Aircraft System." Sensors 18, no. 10 (October 15, 2018): 3465. http://dx.doi.org/10.3390/s18103465.
Дисертації з теми "Height uncertainty":
Nilsson, Mimmi. "Mätosäkerheter vid trigonometrisk höjdmätning : En jämförelse mellan ett avvägningsinstrument och en multistation." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-22072.
The aim of the thesis was to determine the uncertainty of trigonometric height measurementin comparison by traditional height measurement performed with a digital level. Levelling isthe traditional method of height measurement while the trigonometric height measurementfacilitates height measurement at longer distances and in terrain. The uncertainty of thetrigonometric height measurement has been investigated as well as how many rounds ofmeasurements are sufficient for measurements between 10-100 m.The measurements were carried out in two tunnels where in one the ground was plane and inthe other it is grade was 1/10. Height fixes were mounted about every 10 meters in the rockwall and height determined with a levelling instrument, DNA03, to obtain true elevations onheight fixes. Thereafter, the height of the fixes were measured through trigonometric heightmeasurement in one, two, three and four rounds of measurements with a multi station, MS50.Elevation data was calculated and levelling net adjusted in Svensk byggnadsgeodesi (SBG)Geo to then compare the height data from the trigonometric height measurement with thelevelled height obtained by levelling instruments. Significance tests were calculated for themeasurement to determine if the measurements are of the same population.Connection error of all leveling was within tolerance which shows that the reliability of theheight determination is high. The height determination by trigonometric height measurementcan not be of the same low uncertainty that is expected with levelling, but not far from it.With trigonometric height measurement, carried out with MS50, for distances between 10-100m can an uncertainty of 0.5-1.5 mm be expected when two rounds of measurements are used.Significance test shows that more measurements are within the confidence interval 95% whentwo known heights are used in the calculations, instead of one known height.
Karlsson, Henrik. "Kvalitetsundersökning och jämförelse av Laserdata NH och Laserdata Skog : Olika terrängtypers inverkan på punktmolnets återgivning av markytan." Thesis, Karlstads universitet, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-84568.
Airborne laser scanning is an efficient method for collecting elevation data over a large area and is therefore frequently used as a basis for digital elevation models, both on a national and regional level (Wehr & Lohr 1999). The advantage of this data collection method is that the emitted laser pulses are reflected both on the ground surface as well as the objects above it, for example the vegetation, buildings or the like. In this way a three-dimensional point cloud can be created from which further products can be generated. The estimated or measured quality of LiDAR data generally applies for the entire scanning area. But it can be interesting to perform a more in-depth analysis of how the quality differs between different types of terrain. At the request of Arvika municipality a quality survey of Lantmäteriet’s second nationwide laser scanning “Laserdata Skog” will be performed. Work is currently being performed using Laserdata NH, the purpose of this study is thus to give Arvika kommun a more nuanced perception of Laserdata Skog’s quality so that future work can be done in a more reliable way with a deeper knowledge about the data at hand. A comparison between Lantmäteriet’s first nationwide laser scanning “Laserdata NH” will also be performed. The comparison between these two is primarily out of a theoretical interest to examine how the quality differs between them. Future laserdata work will probably be executed using the newer product “Laserdata Skog”. The technical specification SIS-TS 21144:2016 ”Construction measurements – Specifications of production and control of digital terrain models” was applied in the study. Both GNSS-equipment and total station where used in order to collect reference data. The included terrain types are: asphalt, gravel, deciduous forest, coniferous forest and grass. Two areas of interest have been selected for each type of terrain in order to achieve a good representation of each terrain type. In order to perform a coordinate comparison between the laser- and reference data the point cloud from the laserdata was interpolated to a TIN-surface. The results show that there are quality differences between Laserdata NH and Laserdata Skog. Laserdata NH obtains remarkably low deviations. The overall trend is however that Laserdata Skog acquires the lower deviations of the two. Determining the causes of this is difficult, as there are several factors that come in to play. In summary the Gravel terrain type obtains the lowest RMSE-value (0,021 m) for Laserdata NH. The terrain type with the lowest RMSE-value for Laserdata Skog is Asphalt (0,017 m). The highest RMSE-values are found in Coniferous forest for both Laserdata NH (0,198 m) and Laserdata Skog (0,111 m).
Lindbom, Johan, and Karl Tirén. "Kvalitetsundersökning av Laserdata Skog : Terrängtypens inverkan på punktmolnets återgivning av markytan." Thesis, Högskolan i Gävle, Samhällsbyggnad, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-33225.
High quality elevation data is of great importance in many contexts, for example in society’s adaptation to climate change. Laser data forest (Laserdata Skog) is elevation data collected from airborne laserscanning, and will cover most of Sweden’s surface when completed. In order for this data to be used in the best possible way, knowledge of its quality is important. Many parameters causes variation in quality for airborne laserdata, and the impact of vegetation is one of the most significant. This study is conducted by request from Lantmäteriet (the Swedish mapping, cadastral and land registration authority) and aims to investigate the quality of Laser data Forest. Uncertainty in height and point density is the main focus, as well as how these factors vary in different types of terrain. Uncertainty in height has been investigated by comparisons between laser data and terrestrial control measurements, while point density has been determined by calculations and observations in laser data. Four types of terrain is included in the study: Impervious surface, Grass, Coniferous forest and Deciduous forest. Each type of terrain is represented by three test surfaces, one in each of three different scanning areas. Uncertainty in height was affected by both trees and ground cover, while the vegetational impact on point density was caused by trees alone. Uncertainty in height for individual test sites varied between 0,011 and 0,183 m (RMS). Point density varied between 0,66 and 2,09 points/m2. For the uncertainty in height, a considerable contribution was found to originate from the alignment of the point clouds, which made the analysis of the impact of the terrain more difficult.
Heidt, Andreas [Verfasser], and Alexander [Gutachter] Martin. "Uncertainty Models for Optimal and Robust ATM Schedules / Andreas Heidt ; Gutachter: Alexander Martin." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2017. http://d-nb.info/1127336533/34.
Xu, Chicheng. "Reservoir description with well-log-based and core-calibrated petrophysical rock classification." 2013. http://hdl.handle.net/2152/21315.
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Книги з теми "Height uncertainty":
Tam, Ana. Gormim ishiyim, demografiyim ṿe-khitatiyim ha-mashpiʻim ʻal hitmodedut talmidim be-Ramat ha-Golan ʻim i ṿadaʼut poliṭit: Personal, demographic and classroom factors influencing students' coping with political uncertainty in the Golan Heights. Ḥefah: Universiṭat Ḥefah, Bet sefer le-ḥinukh, 1998.
Brontë, Emily. Wuthering Heights. Edited by John Bugg. Oxford University Press, 2020. http://dx.doi.org/10.1093/owc/9780198834786.001.0001.
Nikoletta, Kleftouri. 4 European Banking Union. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198743057.003.0004.
Smith, Jad. At the Wrong End of Time, 1976–95. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037337.003.0004.
Частини книг з теми "Height uncertainty":
Hardon, Anita. "Chemical Supplementing." In Critical Studies in Risk and Uncertainty, 215–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57081-1_7.
Hector, Andy. "Estimation." In The New Statistics with R, 39–50. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198798170.003.0005.
Kamiński, Marcin, and Rafał Leszek Ossowski. "Reaction-Diffusion Problems with Stochastic Parameters Using the Generalized Stochastic Finite Difference Method." In Advances in Computational Intelligence and Robotics, 205–16. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4991-0.ch010.
Porter, Theodore M. "The Errors of Art and Nature." In The Rise of Statistical Thinking, 1820-1900, 97–115. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691208428.003.0005.
Muir, Rory. "The Army." In Gentlemen of Uncertain Fortune, 242–82. Yale University Press, 2019. http://dx.doi.org/10.12987/yale/9780300244311.003.0011.
Pournelle, Jerry. "Eight Simple Rules for Kid-friendly Computing." In 1001 Computer Words You Need to Know. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195167757.003.0015.
Humphris, Rachel. "Gender and intimate state encounters." In Home-Land: Romanian Roma, Domestic Spaces and the State, 135–60. Policy Press, 2019. http://dx.doi.org/10.1332/policypress/9781529201925.003.0010.
Norton, Bryan G. "Conservationists and Preservationists Today." In Toward Unity among Environmentalists. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195093971.003.0009.
Тези доповідей конференцій з теми "Height uncertainty":
Seewig, J., T. Böttner, and D. Broschart. "Uncertainty of height information in coherence scanning interferometry." In SPIE Optical Metrology, edited by Peter H. Lehmann, Wolfgang Osten, and Kay Gastinger. SPIE, 2011. http://dx.doi.org/10.1117/12.889796.
Wada, Ryota, and Takuji Waseda. "Consideration of Epistemic Uncertainty in Extreme Wave Height Estimation." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23364.
Kitano, Toshikazu, Wataru Kioka, and Rinya Takahashi. "DIFFRACTIVE UNCERTAINTY TOWARD THE FUTURE ESTIMATION OF RETURN WAVE HEIGHT." In Proceedings of the 6th International Conference. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814412216_0092.
Goulden, Tristan, Bridget Hass, and Nathan Leisso. "Uncertainty in lidar derived canopy height models in three unique forest ecosystems." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127592.
Lam, E. W., and T. D. C. Little. "Resolving Height Uncertainty in Indoor Visible Light Positioning Using a Steerable Laser." In 2018 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2018. http://dx.doi.org/10.1109/iccw.2018.8403739.
Zhang, Tingwei, Yun Li, and Wangfei Zhang. "Uncertainty analysis in forest height inversion with simulated polarimetric interferometric SAR data." In 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2019. http://dx.doi.org/10.1109/apsar46974.2019.9048525.
Sakai, Eiji, Meng Bai, Richard Ahlfeld, and Francesco Montomoli. "Uncertainty Quantification Analysis of Back Facing Steps Film Cooling Configurations." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-75686.
Bhatt, Chinmay P., and Stephen T. McClain. "Assessment of Uncertainty in Equivalent Sand-Grain Roughness Methods." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42105.
Jonathan, Philip, and Kevin Ewans. "Uncertainties in Extreme Wave Height Estimates for Hurricane Dominated Regions." In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92625.
Korpelainen, V., J. Seppä, and A. Lassila. "Measurement strategies and uncertainty estimations for pitch and step height calibrations by metrological AFM." In SPIE Defense, Security, and Sensing, edited by Michael T. Postek, Dale E. Newbury, S. Frank Platek, David C. Joy, and Tim K. Maugel. SPIE, 2011. http://dx.doi.org/10.1117/12.883818.
Звіти організацій з теми "Height uncertainty":
Gibson, J. R., and M. Buchheit. Tracking Uncertainty in Derived Height Data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/219780.