Relevant bibliographies by topics / Profiler lidar

Academic literature on the topic 'Profiler lidar'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Profiler lidar"

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Compton, Jaime C., Ruben Delgado, Timothy A. Berkoff, and Raymond M. Hoff. "Determination of Planetary Boundary Layer Height on Short Spatial and Temporal Scales: A Demonstration of the Covariance Wavelet Transform in Ground-Based Wind Profiler and Lidar Measurements*." Journal of Atmospheric and Oceanic Technology 30, no. 7 (July 1, 2013): 1566–75. http://dx.doi.org/10.1175/jtech-d-12-00116.1.

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Abstract This article explores the application of the covariance wavelet transform (CWT) to lidar and, for the first time to the authors' knowledge, wind profiler data to examine the possibility of accurate and continuous planetary boundary layer (PBL) height measurements on short temporal resolution (1- and 15-min averages, respectively). Determining the mixing in the PBL was one goal of a study of the spatial and diurnal variations of the PBL height over Maryland for July 2011, during NASA's Earth Venture mission DISCOVER-AQ. The PBL heights derived from ground-based lidars [at University of Maryland, Baltimore County (UMBC); 39.25°N, 76.70°W], a 915-MHz wind profiler, and radiosondes (at Beltsville, Maryland; 38.92°N, 77.02°W) were compared. Results from the comparison show an R2 = 0.89, 0.92, and 0.94 correlation between the radiosonde PBL heights and two lidars and wind profiler PBL heights, respectively. Accurate determination of the PBL height by applying the CWT to lidar and wind profilers will allow for improved air quality forecasting and understanding of regional pollution dynamics.
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Newchurch, Michael J., Raul J. Alvarez, Timothy A. Berkoff, William Carrion, Russell J. DeYoung, Rene Ganoe, Guillaume Gronoff, et al. "TOLNet ozone lidar intercomparison during the discover-aq and frappé campaigns." EPJ Web of Conferences 176 (2018): 10007. http://dx.doi.org/10.1051/epjconf/201817610007.

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The Tropospheric Ozone Lidar Network (TOLNet) is a unique network of lidar systems that measure atmospheric profiles of ozone and aerosols, to contribute to air-quality studies, atmospheric modeling, and satellite validation efforts. The accurate characterization of these lidars is of critical interest, and is necessary to determine cross-instrument calibration uniformity. From July to August 2014, three lidars, the TROPospheric OZone (TROPOZ) lidar, the Tunable Optical Profiler for Aerosol and oZone (TOPAZ) lidar, and the Langley Mobile Ozone Lidar (LMOL), of TOLNet participated in the “Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality” (DISCOVER-AQ) mission and the “Front Range Air Pollution and Photochemistry Éxperiment” (FRAPPÉ) to measure sub-hourly ozone variations from near the surface to the top of the troposphere. Although large differences occur at few individual altitudes in the near field and far field range, the TOLNet lidars agree with each other within ±4%. These results indicate excellent measurement accuracy for the TOLNet lidars that is suitable for use in air-quality and ozone modeling efforts.
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Wang, Lihua, Michael J. Newchurch, Raul J. Alvarez II, Timothy A. Berkoff, Steven S. Brown, William Carrion, Russell J. De Young, et al. "Quantifying TOLNet ozone lidar accuracy during the 2014 DISCOVER-AQ and FRAPPÉ campaigns." Atmospheric Measurement Techniques 10, no. 10 (October 23, 2017): 3865–76. http://dx.doi.org/10.5194/amt-10-3865-2017.

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Abstract. The Tropospheric Ozone Lidar Network (TOLNet) is a unique network of lidar systems that measure high-resolution atmospheric profiles of ozone. The accurate characterization of these lidars is necessary to determine the uniformity of the network calibration. From July to August 2014, three lidars, the TROPospheric OZone (TROPOZ) lidar, the Tunable Optical Profiler for Aerosol and oZone (TOPAZ) lidar, and the Langley Mobile Ozone Lidar (LMOL), of TOLNet participated in the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) mission and the Front Range Air Pollution and Photochemistry Éxperiment (FRAPPÉ) to measure ozone variations from the boundary layer to the top of the troposphere. This study presents the analysis of the intercomparison between the TROPOZ, TOPAZ, and LMOL lidars, along with comparisons between the lidars and other in situ ozone instruments including ozonesondes and a P-3B airborne chemiluminescence sensor. The TOLNet lidars measured vertical ozone structures with an accuracy generally better than ±15 % within the troposphere. Larger differences occur at some individual altitudes in both the near-field and far-field range of the lidar systems, largely as expected. In terms of column average, the TOLNet lidars measured ozone with an accuracy better than ±5 % for both the intercomparison between the lidars and between the lidars and other instruments. These results indicate that these three TOLNet lidars are suitable for use in air quality, satellite validation, and ozone modeling efforts.
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Wing, Robin, Sophie Godin-Beekmann, Wolfgang Steinbrecht, Thomas J. McGee, John T. Sullivan, Sergey Khaykin, Grant Sumnicht, and Laurence Twigg. "Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns." Atmospheric Measurement Techniques 14, no. 5 (May 25, 2021): 3773–94. http://dx.doi.org/10.5194/amt-14-3773-2021.

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Abstract. A newly upgraded German Weather Service (DWD) ozone and temperature lidar (HOH) located at the Hohenpeißenberg Meteorological Observatory (47.8∘ N, 11.0∘ E) has been evaluated through comparison with the travelling standard lidar operated by NASA's Goddard Space Flight Center (NASA GSFC Stratospheric Ozone (STROZ) lidar), satellite overpasses from the Microwave Limb Sounder (MLS), the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER), the Ozone Mapping and Profiler Suite (OMPS), meteorological radiosondes launched from Munich (65 km northeast), and locally launched ozonesondes. The “blind” evaluation was conducted under the framework of the Network for the Detection of Atmospheric Composition Change (NDACC) using 10 clear nights of measurements in 2018 and 2019. The campaign, referred to as the Hohenpeißenberg Ozone Profiling Study (HOPS), was conducted within the larger context of NDACC validation activities for European lidar stations. There was good agreement between all ozone lidar measurements in the range of 15 to 41 km with relative differences between co-located ozone profiles of less than ±10 %. Differences in the measured ozone number densities between the lidars and the locally launched ozone sondes were also generally less than 5 % below 30 km. The satellite ozone profiles demonstrated some differences with respect to the ground-based lidars which are due to sampling differences and geophysical variation. Both the original and new DWD lidars continue to meet the NDACC standard for lidar ozone profiles by exceeding 3 % accuracy between 16.5 and 43 km. Temperature differences for all instruments were less than ±5 K below 60 km, with larger differences present in the lidar–satellite comparisons above this region. Temperature differences between the DWD lidars met the NDACC accuracy requirements of ±1 K between 17 and 78 km. A unique cross-comparison between the HOPS campaign and a similar, recent campaign at Observatoire de Haute-Provence (Lidar Validation NDACC Experiment; LAVANDE) allowed for an investigation into potential biases in the NASA-STROZ reference lidar. The reference lidar may slightly underestimate ozone number densities above 43 km with respect to the French and German NDACC lidars. Below 20 km, the reference lidar temperatures profiles are 5 to 10 K cooler than the temperatures which are reported by the other instruments.
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Kunz, Gerard J. "Field test of a lidar wind profiler." Optical Engineering 35, no. 11 (November 1, 1996): 3074. http://dx.doi.org/10.1117/1.601045.

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Drechsel, Susanne, Georg J. Mayr, Michel Chong, Martin Weissmann, Andreas Dörnbrack, and Ronald Calhoun. "Three-Dimensional Wind Retrieval: Application of MUSCAT to Dual-Doppler Lidar." Journal of Atmospheric and Oceanic Technology 26, no. 3 (March 1, 2009): 635–46. http://dx.doi.org/10.1175/2008jtecha1115.1.

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Abstract During the field campaign of the Terrain-induced Rotor Experiment (T-REX) in the spring of 2006, Doppler lidar measurements were taken in the complex terrain of the Californian Owens Valley for six weeks. While fast three-dimensional (3D) wind analysis from measured radial wind components is well established for dual weather radars, only the feasibility was shown for dual-Doppler lidars. A computationally inexpensive, variational analysis method developed for multiple-Doppler radar measurements over complex terrain was applied. The general flow pattern of the 19 derived 3D wind fields is slightly smoothed in time and space because of lidar scan duration and analysis algorithm. The comparison of extracted wind profiles to profiles from radiosondes and wind profiler reveals differences of wind speed and direction of less than 1.1 m s−1 and 3°, on average, with standard deviations not exceeding 2.7 m s−1 and 27°, respectively. Standard velocity–azimuth display (VAD) retrieval method provided higher vertical resolution than the dual-Doppler retrieval, but no horizontal structure of the flow field. The authors suggest a simple way to obtain a good first guess for a dual-lidar scan strategy geared toward 3D wind retrieval that minimizes scan duration and maximizes spatial coverage.
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Pershin, Sergey M., Boris G. Katsnelson, Mikhail Ya Grishin, Vasily N. Lednev, Vladimir A. Zavozin, and Ilia Ostrovsky. "Laser Remote Sensing of Lake Kinneret by Compact Fluorescence LiDAR." Sensors 22, no. 19 (September 26, 2022): 7307. http://dx.doi.org/10.3390/s22197307.

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Harmful algal blooms in freshwater reservoirs became a steady phenomenon in recent decades, so instruments for monitoring water quality in real time are of high importance. Modern satellite remote sensing is a powerful technique for mapping large areas but cannot provide depth-resolved data on algal concentrations. As an alternative to satellite techniques, laser remote sensing is a perspective technique for depth-resolved studies of fresh or seawater. Recent progress in lasers and electronics makes it possible to construct compact and lightweight LiDARs (Light Detection and Ranging) that can be installed on small boats or drones. LiDAR sensing is an established technique; however, it is more common in studies of seas rather than freshwater reservoirs. In this study, we present an experimental verification of a compact LiDAR as an instrument for the shipborne depth profiling of chlorophyll concentration across the freshwater Lake Kinneret (Israel). Chlorophyll depth profiles of 3 m with a 1.5 m resolution were measured in situ, under sunlight conditions. A good correlation (R2 = 0.89) has been established between LiDAR signals and commercial algae profiler data. A non-monotonic algae depth distribution was observed along the boat route during daytime (Tiberias city–Jordan River mouth–Tiberias city). The impact of high algal concentration on water temperature laser remote sensing has been studied in detail to estimate the LiDAR capability of in situ simultaneous measurements of temperature and chlorophyll concentration.
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Bühl, J., R. Leinweber, U. Görsdorf, M. Radenz, A. Ansmann, and V. Lehmann. "Combined vertical-velocity observations with Doppler lidar, cloud radar and wind profiler." Atmospheric Measurement Techniques Discussions 8, no. 1 (January 12, 2015): 353–73. http://dx.doi.org/10.5194/amtd-8-353-2015.

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Abstract. Case studies of combined vertical-velocity measurements of Doppler lidar, cloud radar and wind profiler are presented. The measurements were taken at the Meteorological Observatory Lindenberg, Germany. Synergistic products are presented that are derived from the vertical-velocity measurements of the three instruments: A comprehensive classification mask of vertically moving atmospheric targets and the terminal fall velocity of water droplets and ice crystals corrected for vertical air motion. It is shown that the measurements of the Doppler lidar can extent the view of the cloud radar and the wind profiler, especially when observing clouds.
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Debnath, Mithu, Giacomo Valerio Iungo, W. Alan Brewer, Aditya Choukulkar, Ruben Delgado, Scott Gunter, Julie K. Lundquist, John L. Schroeder, James M. Wilczak, and Daniel Wolfe. "Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment." Atmospheric Measurement Techniques 10, no. 3 (March 29, 2017): 1215–27. http://dx.doi.org/10.5194/amt-10-1215-2017.

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Abstract. During the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) campaign, which was carried out at the Boulder Atmospheric Observatory (BAO) in spring 2015, multiple-Doppler scanning strategies were carried out with scanning wind lidars and Ka-band radars. Specifically, step–stare measurements were collected simultaneously with three scanning Doppler lidars, while two scanning Ka-band radars carried out simultaneous range height indicator (RHI) scans. The XPIA experiment provided the unique opportunity to compare directly virtual-tower measurements performed simultaneously with Ka-band radars and Doppler wind lidars. Furthermore, multiple-Doppler measurements were assessed against sonic anemometer data acquired from the meteorological tower (met-tower) present at the BAO site and a lidar wind profiler. This survey shows that – despite the different technologies, measurement volumes and sampling periods used for the lidar and radar measurements – a very good accuracy is achieved for both remote-sensing techniques for probing horizontal wind speed and wind direction with the virtual-tower scanning technique.
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Cheynet, Etienne, Martin Flügge, Joachim Reuder, Jasna B. Jakobsen, Yngve Heggelund, Benny Svardal, Pablo Saavedra Garfias, et al. "The COTUR project: remote sensing of offshore turbulence for wind energy application." Atmospheric Measurement Techniques 14, no. 9 (September 21, 2021): 6137–57. http://dx.doi.org/10.5194/amt-14-6137-2021.

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Abstract. The paper presents the measurement strategy and data set collected during the COTUR (COherence of TURbulence with lidars) campaign. This field experiment took place from February 2019 to April 2020 on the southwestern coast of Norway. The coherence quantifies the spatial correlation of eddies and is little known in the marine atmospheric boundary layer. The study was motivated by the need to better characterize the lateral coherence, which partly governs the dynamic wind load on multi-megawatt offshore wind turbines. During the COTUR campaign, the coherence was studied using land-based remote sensing technology. The instrument setup consisted of three long-range scanning Doppler wind lidars, one Doppler wind lidar profiler and one passive microwave radiometer. Both the WindScanner software and LidarPlanner software were used jointly to simultaneously orient the three scanner heads into the mean wind direction, which was provided by the lidar wind profiler. The radiometer instrument complemented these measurements by providing temperature and humidity profiles in the atmospheric boundary layer. The scanning beams were pointed slightly upwards to record turbulence characteristics both within and above the surface layer, providing further insight on the applicability of surface-layer scaling to model the turbulent wind load on offshore wind turbines. The preliminary results show limited variations of the lateral coherence with the scanning distance. A slight increase in the identified Davenport decay coefficient with the height is partly due to the limited pointing accuracy of the instruments. These results underline the importance of achieving pointing errors under 0.1∘ to study properly the lateral coherence of turbulence at scanning distances of several kilometres.
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Dissertations / Theses on the topic "Profiler lidar"

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Smith, Christina Lynn. "Analysis of mixing layer heights inferred from radiosonde, wind profiler, airborne lidar, airborne microwave temperature profiler, and in-situ aircraft data during the Texas 2000 air quality study in Houston, TX." Texas A&M University, 2003. http://hdl.handle.net/1969.1/2300.

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The mixing layer (ML) heights inferred from radiosondes, wind profilers, airborne lidar, airborne microwave temperature profiler (MTP), and in-situ aircraft data were compared during the Texas 2000 Air Quality Study in the Houston area. The comparisons and resulting good agreement between the separate instruments allowed for the spatial and temporal evolution of the ML height distribution to be determined across the Houston area on September 1, 2000. A benchmark method was created for determining ML heights from radiosonde data. The ML heights determined using this method were compared to ML heights determined using wind profiler data. The airborne lidar and MTP heights were also compared to the wind profiler heights. This was the first time the MTP was used for estimating ML heights. Because of this, the MTP heights were also compared to the ML heights determined by in-situ aircraft data. There was good agreement between the ML estimates when the instruments were co-located. The comparisons between the benchmark method and the wind profilers were independent of the quality of the profiler heights. The statistics for lidar and the wind profilers were better for the inland profiler comparisons. Even so, the results for coastal profilers were similar to the other comparisons. The results between the MTP and the wind profilers were comparable with the results found between the other instruments, and better, in that the statistics were similar for the both the inland and coastal profilers. The results between the MTP and in-situ aircraft data provided additional support for the use of MTP for determining ML heights. The combination of the inland and coastal wind profilers with the airborne instruments provided adequate information for the spatial and temporal evolution of the ML height to be determined across the Houston area on September 1, 2000. By analyzing the ML height distribution, major features were evident. These features included the shallow ML heights associated with the marine air from Galveston Bay and the Gulf of Mexico, and the sharp gradient of increasing ML heights north of Houston associated with the variation in the inversion depth found on this day.
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Harrison, Daniel Edward. "Comparison of LIDAR and Mini-Rawin Sonde profiles." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA349026.

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Thesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, June 1998.
Thesis advisor(s): Kenneth LaVern Davidson, Carlyle H. Wash. "June 1998." Includes bibliographical references (p. 49-50). Also available online.
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Lesouëf, Dorothée. "Étude numérique des circulations locales à la Réunion : application à la dispersion de polluants." Phd thesis, Université de la Réunion, 2010. http://tel.archives-ouvertes.fr/tel-00633096.

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Les régimes dynamiques dans les basses couches de l'atmosphère à l'île de la Réunion sont conditionnés par l'action du relief et du rayonnement sur l'écoulement synoptique. L'île est située en permanence dans le flux des alizés de sud-est et son relief élevé, culminant à 3000 m dans le centre de l'île et 2600 m au sud, constitue un obstacle important pour l'écoulement moyen. Le relief, le chauffage différentiel des pentes et le contraste thermique avec l'océan influent sur les échanges locaux entre la couche limite marine et la troposphère libre.L'analyse des phénomènes complexes de l'écoulement atmosphérique au niveau de l'île a pour but initial de caractériser les transferts de polluants émis localement. Cette étude a deux applications : * La première rentre dans le cadre préparatoire à la mise en place, à 2200 m d'altitude sur le Piton Maïdo, de l'observatoire atmosphérique de l'OPAR, à l'horizon 2011. L'objectif est de comprendre les circulations locales induites par le relief et les transports associés afin de discriminer d'éventuelles pollutions par les sources locales sur le signal qui sera mesuré in situ au sommet du Maïdo.* La seconde vise à étudier la diffusion des panaches volcaniques du Piton de la Fournaise. L'éruption majeure d'avril 2007 du volcan réunionnais a montré que des panaches pouvaient générer d'importantes pollutions dans diverses parties de l'île allant jusqu'à poser de réels problèmes environnementaux et de santé publique.Ces applications s'appuient sur une étude par modélisation numérique à haute résolution des écoulements atmosphériques dans les basses couches au niveau de l'île, au moyen du modèle météorologique de recherche MésoNH, permettant de conduire un ensemble de simulations sur cas idéalisés puis sur cas réels avec diffusion de traceurs passifs.
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Gunal, Murat. "Modification of the Naval Postgraduate School Lidar System." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA304245.

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Friman, Sonja. "Field Test of a Brillouin LIDAR for Temperature Profiles of the Ocean." Thesis, KTH, Tillämpad fysik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185795.

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t'Kint, de Roodenbeke Axelle. "A novel broad-band LIDAR for the measurement of profiles of tropospheric aerosol and temperature : techniques and first profiles." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624815.

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Grant, Richard Peter James Seton. "The establishment of a Lidar facility at Rhodes University." Thesis, Rhodes University, 1988. http://hdl.handle.net/10962/d1001998.

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LIDAR is the optical equivalent of RADAR. A LIDAR facility has been established at Rhodes University using a flashlamp-pumped dye laser as the transmitter and a photomultiplier tube at the focus of a searchlight mirror as the receiver. The setting up of the receiver and transmitter as well as the design and construction of the photon counting electronics is described. The LIDAR has been used to measure aerosol scattering ratios and temperature profiles in the stratosphere and these results are presented with the algorithms and software used to reduce the data. Finally some recommendations are made for future work
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Görgens, Eric Bastos. "LiDAR technology applied to vegetation quantification and qualification." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11150/tde-10042015-112503/.

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The methodology to quantify vegetation from airborne laser scanning (or LiDAR - Light Detection And Ranging) is somehow consolidated, but some concerns are still in the checklist of the scientific community. This thesis aims to bring some of those concerns and try to contribute with some results and insights. Four aspects were studied along this thesis. In the first study, the effect of threshold heights (minimum height and height break) in the quality of the set of metrics was investigated aiming the volume estimation of a eucalyptus plantation. The results indicate that higher threshold height may return a better set of metrics. The impact of threshold height was more evident in young stands and for canopy density metrics. In the second study, the stability of the LiDAR metrics between different LiDAR surveys over the same area was analyzed. This study demonstrated how the selection of stable metrics contributed to generate reliable models between different data sets. According to our results, the height metrics provided the greatest stability when used in the models, specifically the higher percentiles (>50%) and the mode. The third study was designed to evaluate the use of machine learning tools to estimate wood volume of eucalyptus plantations from LiDAR metrics. Rather than being limited to a subset of LiDAR metrics in attempting explain as much variability in a dependent variable as possible, artificial intelligence tools explored the complete metrics set when looking for patterns between LiDAR metrics and stand volume. The fourth and last study has focused upon several highly important forest typologies, and shown that it is possible to differentiate the typologies through their vertical profiles as derived from airborne laser surveys. The size of the sampling cell does have an influence on the behavior observed in analyses of spatial dependence. Each typology has its own specific characteristics, which will need to be taken into consideration in projects targeting monitoring, inventory construction, and mapping based upon airborne laser surveys. The determination of a converged vertical profile could be achieved with data representing 10 % of the area for all typologies, while for some typologies 2 % coverage was sufficient.
A metodologia para quantificar vegetação a partir de dados LiDAR (Light Detection And Ranging) está de certa forma consolidada, porém ainda existem pontos a serem esclarecidos que permanecem na lista da comunidade científica. Quatro aspectos foram estudos nesta tese. No primeiro estudo, foi investigado a influência das alturas de referência (altura mínima e altura de quebra) na qualidade do conjunto de métricas extraído visando estimação do volume de um plantio de eucalipto. Os resultados indicaram que valor mais altos de alturas de referência retornaram um conjunto de métricas melhor. O efeito das alturas de referência foi mais evidente em povoamentos jovens e para as métricas de densidade. No segundo estudo, avaliou-se a estabilidade de métricas LiDAR derivadas para uma mesma área sobrevoada com diferentes configurações de equipamentos e voo. Este estudo apresentou como a seleção de métricas estáveis pode contribuir para a geração de modelos compatíveis com diferentes bases de dados LiDAR. De acordo com os resultados, as métricas de altura foram mais estáveis que as métricas de densidade, com destaque para os percentis acima de 50% e a moda. O terceiro estudo avaliou o uso de máquinas de aprendizado para a estimação do volume em nível de povoamento de plantios de eucalipto a partir de métricas LiDAR. Ao invés de estarem limitados a um pequeno subconjunto de métricas na tentativa de explicar a maior parte possível da variabilidade total dos dados, as técnicas de inteligência artificial permitiram explorar todo o conjunto de dados e detectar padrões que estimaram o volume em nível de povoamento a partir do conjunto de métricas. O quarto e último estudo focou em sete áreas de diferentes tipologias florestais brasileiras, estudando os seus perfis verticais de dossel. O estudo mostrou que é possível diferenciar estas tipologias com base no perfil vertical derivado de levantamentos LiDAR. Foi observado também que o tamanho das parcelas possui diferentes níveis de dependência espacial. Cada tipologia possui características específicas que precisam ser levadas em considerações em projetos de monitoramento, inventário e mapeamento baseado em levantamentos LiDAR. O estudo mostrou que é possível determinar o perfil vertical de dossel a partir da cobertura de 10% da área, chegando a algumas tipologias em apenas 2% da área.
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Corrêa, Thaís. "Monitoramento do perfil atmosférico na região de silos do Porto de Santos pela técnica LIDAR." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/85/85134/tde-29012019-113201/.

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O manuseio de grãos durante as operações de carga e descarga geram materiais particulados que são liberados para a atmosfera interferindo na qualidade do ar da região. Essa pesquisa identificou a presença de material particulado proveniente de grãos na cidade de Santos utilizando dados disponibilizados pelos satélites da NASA, índices de qualidade do ar fornecidos pela CETESB e dados obtidos pela técnica LIDAR.
Grain handling during loading and unloading operations generates particulate materials that are released into the atmosphere by interfering with the air quality of the region. This research identified the presence of particulate matter from grain in the city of Santos using data provided by NASA satellites, air quality indexes provided by CETESB and data obtained by the LIDAR technique.
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Norton, Emily G. "Spectroscopic studies of the tropospheric boundary layer." Thesis, University of Cambridge, 2006. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:191307.

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This thesis presents a development to the technique of rotational Raman lidar by, incorporating an imaging spectrometer in conjunction with a clocking CCD detection system. This allowed the rotational Raman spectra of nitrogen and oxygen to be simultaneously recorded as a function of altitude. The rotational Raman spectra were uses to calculate temperature profiles. Recording the complete band envelopes of the rotational Raman spectra removed the need for an external reference, such as a radiosonde. Results are presented from measurements made in Cambridge in chapter 4 and Ny-Alesund in chapter 6. Chapter 7 presents some conventional lidar backscatter measurements made using a PMT in Birmingham during the winter part of the pollution in the Urban Midlands Area (PUMA) campaign. These measurements were used to determine the cloud base and the planetarty boundary layer height. Two automated algorithms were tested at retrieving the PBL height, the inflection point method and the centroid method.
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Books on the topic "Profiler lidar"

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Harrison, Daniel Edward. Comparison of LIDAR and Mini-Rawin Sonde profiles. Monterey, Calif: Naval Postgraduate School, 1998.

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2

Center, Langley Research, ed. Novel Co:MgF ́lidar for aerosol profiler. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Center, Langley Research, ed. Novel Co:MgF lidar for aerosol profiler. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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National Aeronautics and Space Administration (NASA) Staff. Novel Co: Mgf2 Lidar for Aerosol Profiler. Independently Published, 2018.

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Comparison of Lidar And Mini-Rawin Sonde Profiles. Storming Media, 1998.

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Analysis of Doppler lidar wind measurements: Final technical report. Chicago, IL: Laboratory for Atmospheric Probing, Dept. of the Geophysical Sciences, the University of Chicago, 1986.

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George C. Marshall Space Flight Center., ed. Analysis of Doppler lidar wind measurements: Final technical report. Chicago, IL: Laboratory for Atmospheric Probing, Dept. of the Geophysical Sciences, the University of Chicago, 1986.

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Atmospheric boundary layer sensors for application in a wake vortex advisory system. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2003.

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Differential absorption lidars for remote sensing of atmospheric pressure and temperature profiles: Final report. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1995.

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Book chapters on the topic "Profiler lidar"

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Sakagami, Yoshiaki, Pedro A. A. Santos, Reinaldo Haas, Júlio C. Passos, and Frederico F. Taves. "Wind Shear Assessment Using Wind LiDAR Profiler and Sonic 3D Anemometer for Wind Energy Applications—Preliminary Results." In Renewable Energy in the Service of Mankind Vol I, 893–902. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17777-9_80.

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Lahmann, W., J. Zeyn, and C. Weitkamp. "Rotational Raman Lidar for Remote Daytime Measurements of Tropospheric Temperature Profiles." In Advances in Atmospheric Remote Sensing with Lidar, 345–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_83.

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Dreischuh, T. N., L. L. Gurdev, and D. V. Stoyanov. "Lidar Profile Deconvolution Algorithms for Some Rectangular-Like Laser Pulse Shapes." In Advances in Atmospheric Remote Sensing with Lidar, 135–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_34.

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Wickwar, V. B., K. C. Beissner, T. D. Wilkerson, S. C. Collins, J. W. Meriwether, and X. Gao. "Climatology of Mesospheric Temperature Profiles Observed with the Consortium Rayleigh-Scatter Lidarat Logan, Utah." In Advances in Atmospheric Remote Sensing with Lidar, 557–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_135.

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Senff, C., R. J. Alvarez, S. D. Mayor, and Y. Zhao. "Ozone Flux Profiles in the Boundary Layer Observed with an Ozone DIAL/Doppler Lidar Combination." In Advances in Atmospheric Remote Sensing with Lidar, 363–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_87.

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Palm, Stephen P., Denise Hagan, Geary Schwemmer, and S. H. Melfi. "Inference of Atmospheric Boundary Layer Water Vapor and Temperature Profiles over the Ocean Using Airborne Lidar Data." In Advances in Atmospheric Remote Sensing with Lidar, 39–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_10.

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Diebel-Langohr, D., T. Hengstermann, and R. Reuter. "Depth Profiles of Hydrographic Parameters - Measurement and Interpretation of Lidar Signals." In Laser/Optoelektronik in der Technik / Laser/Optoelectronics in Engineering, 648–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82638-2_120.

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Cao, Dandan, Wei Li, Lu Li, Qiong Ran, Mengmeng Zhang, and Ran Tao. "Joint Classification of Hyperspectral and LiDAR Data Using Improved Local Contain Profile." In Proceedings of the 7th China High Resolution Earth Observation Conference (CHREOC 2020), 137–50. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5735-1_10.

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Sepe, V., F. Rizzo, F. Ricciardelli, and A. M. Avossa. "Characterization of Mean Wind Profiles and Surface Roughness Assessment from Wind LIDAR Measurements." In Lecture Notes in Civil Engineering, 689–702. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12815-9_52.

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Neuber, R. "Determination of Atmospheric Ozone Profiles at 68N and 79N with a Daylight Lidar Instrument." In Optoelectronics for Environmental Science, 91–99. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-5895-4_8.

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Conference papers on the topic "Profiler lidar"

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Kunz, Gerard J. "Field test of a lidar wind profiler." In European Symposium on Optics for Environmental and Public Safety, edited by Peter Fabian, Volker Klein, Maurus Tacke, Konradin Weber, and Christian Werner. SPIE, 1995. http://dx.doi.org/10.1117/12.221019.

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Petrov, Gleb, and Nikolay A. Baranov. "Data processing technique for the all-fiber wind profiler." In Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing, edited by Upendra N. Singh and Doina N. Nicolae. SPIE, 2017. http://dx.doi.org/10.1117/12.2281634.

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Entwistle, N. S., G. L. Heritage, and D. J. Milan. "Biotope mapping using combined LIDAR acoustic doppler velocity profiler survey." In BHS 3rd International Conference. British Hydrological Society, 2010. http://dx.doi.org/10.7558/bhs.2010.ic57.

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Viselli, Anthony, Nathan Faessler, and Matthew Filippelli. "Analysis of Wind Speed Shear and Turbulence LiDAR Measurements to Support Offshore Wind in the Northeast United States." In ASME 2018 1st International Offshore Wind Technical Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/iowtc2018-1003.

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This paper presents wind speed measurements collected at 40m to 200m above sea-level to support the New England Aqua Ventus I 12 MW Floating Offshore Wind Farm to be located 17km offshore the Northeast United States. The high-altitude wind speed data are unique and represent some of the first measurements made offshore in this part of the country which is actively being developed for offshore wind. Multiple LiDAR measurements were made using a DeepCLiDAR floating buoy and LiDARs located on land on a nearby island. The LiDARs compared favorably thereby confirming the LiDAR buoy measurements. Wind speed shear profiles are presented. The measurements are compared against industry standard mesoscale model outputs and offshore design codes including the American Bureau of Shipping, American Petroleum Institute, and DNV-GL guides. Significant variation in the vertical wind speed profile occurs throughout the year. This variation is not currently addressed in offshore wind design standards which typically recommend the use of only a few values for wind shear in operational and extreme conditions. The mean wind shears recorded were also higher than industry recommended values. Additionally, turbulence measurements made from the LiDAR, although not widely accepted in the scientific community, are presented and compared against industry guidelines.
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Muñoz, Joshua, Masood Taheri Andani, and Mehdi Ahmadian. "Accuracy Analysis of Car Body-Mounted Doppler LIDAR Technology Used to Measure Track Speed and Curvature." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5613.

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Modern track inspection technologies contribute to more efficient and reliable identification of track conditions including track geometry and sections requiring maintenance. Records of car body motion and rail conditions are also vital for derailment or track failure investigations. Doppler LIDAR technology is a tool with a vast array of utility in measuring speed of a moving target with a high degree of accuracy and precision, and has been proven by a Virginia Tech (VT) research team to record body motion and track curvature through car body speed characteristics. In the context of track maintenance, high sensitivity to rail surface deviations and signal fidelity at high speeds make LIDAR a desirable tool for collecting information on local curvature deviations and car body dynamic responses to such irregularities. Virginia Tech’s Railway Technologies Laboratory research team has completed extensive analysis on its Doppler LIDAR system’s ability to obtain train speed and track curvature profiles in terms of the system’s accuracy and dependency on car body motion during curve navigation. Due to the LIDAR system’s capability of providing curvature data from the speed profile, it follows that the LIDAR system also serves as a high-accuracy alternative to the geometry car’s IMU which also provides curvature data. Results show the LIDAR system records curves with a high correlation with ground truth measurements. The signal processing techniques used to reveal track curve and car body motion are reviewed to show that, indeed, the LIDAR system detects car body motion in addition to the track’s curvature profile. Results strongly suggest Doppler LIDAR serves as a high-accuracy alternative to multiple rail inspection instruments and provides useful data for the improvement of rail condition localization and mapping.
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Hu, Shunxing, Qiuwu Liu, Yafeng Chen, Jie Wang, and Jian Huang. "Measurement of atmospheric NO2 profile using three-wavelength dual-differential absorption lidar." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, Jian Yang, Weimin Bao, Weibiao Chen, Zelin Shi, Jindong Fei, Shensheng Han, and Weiqi Jin. SPIE, 2017. http://dx.doi.org/10.1117/12.2295725.

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Das, Suvabrata, Soma S. Maroju, Shejun Fan, Pak Leung, and Cristina Zwissler. "Wind Profile and Structure During Severe Storms in the Gulf of Mexico." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-86835.

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Abstract Wind profile and structure is critical in design of offshore structures such as oil/gas platforms or wind farm turbines. Since 2017, three ZX 300M wind vertical profiling LIDAR (Light Distance and Ranging) systems have been installed on two TLPs (Tension Leg Platform) and one Semi-submersible in the Mississippi Canyon in the Gulf of Mexico. The LIDAR system measures wind profile from 10m to up to 200m above deck. This paper presents the wind profile data and analysis from these measurements for several severe storms that passed through the region. It is hoped that this data will provide insights into the structure of the turbulent hurricane boundary layer, to help the design of wind sensitive offshore structures and their components. First, the wind profile time series were divided into small segments of data, then the profile of mean wind speeds, turbulence intensities and gust factor across the wind column were calculated. The measured mean wind profiles, turbulence intensities, peak gust factors are then compared to the Frøya wind profile and time-averaging relations as suggested by ISO 19901-1:2015 and API RP 2MET as well as the formulation given in Engineering Science Data Unit (ESDU) models. These comparisons are used to understand the applicability of the wind models to offshore hurricane conditions and assess the design principles of offshore structures.
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Churnside, James H. "Airborne lidar estimates of photosynthesis profiles." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729979.

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Philbrick, C. Russell. "Lidar profiles of atmospheric structure properties." In Orlando '91, Orlando, FL, edited by Robert J. Curran, James A. Smith, and Ken Watson. SPIE, 1991. http://dx.doi.org/10.1117/12.45836.

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Gimmestad, Gary G., Martha W. Dawsey, David A. Roberts, John M. Stewart, Jack W. Wood, and Frank D. Eaton. "LIDAR system for monitoring turbulence profiles." In SPIE Astronomical Telescopes + Instrumentation, edited by Larry M. Stepp. SPIE, 2006. http://dx.doi.org/10.1117/12.672222.

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Reports on the topic "Profiler lidar"

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Newsom, RK, C. Sivaraman, and SA McFarlane. Raman Lidar Profiles?Temperature (RLPROFTEMP) Value-Added Product. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1053989.

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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, and Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.

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Maintenance of roadside ditches is important to avoid localized flooding and premature failure of pavements. Scheduling effective preventative maintenance requires mapping of the ditch profile to identify areas requiring excavation of long-term sediment accumulation. High-resolution, high-quality point clouds collected by mobile LiDAR mapping systems (MLMS) provide an opportunity for effective monitoring of roadside ditches and performing hydrological analyses. This study evaluated the applicability of mobile LiDAR for mapping roadside ditches for slope and drainage analyses. The performance of alternative MLMS units was performed. These MLMS included an unmanned ground vehicle, an unmanned aerial vehicle, a portable backpack system along with its vehicle-mounted version, a medium-grade wheel-based system, and a high-grade wheel-based system. Point cloud from all the MLMS units were in agreement in the vertical direction within the ±3 cm range for solid surfaces, such as paved roads, and ±7 cm range for surfaces with vegetation. The portable backpack system that could be carried by a surveyor or mounted on a vehicle and was the most flexible MLMS. The report concludes that due to flexibility and cost effectiveness of the portable backpack system, it is the preferred platform for mapping roadside ditches, followed by the medium-grade wheel-based system. Furthermore, a framework for ditch line characterization is proposed and tested using datasets acquired by the medium-grade wheel-based and vehicle-mounted portable systems over a state highway. An existing ground filtering approach is modified to handle variations in point density of mobile LiDAR data. Hydrological analyses, including flow direction and flow accumulation, are applied to extract the drainage network from the digital terrain model (DTM). Cross-sectional/longitudinal profiles of the ditch are automatically extracted from LiDAR data and visualized in 3D point clouds and 2D images. The slope derived from the LiDAR data was found to be very close to highway cross slope design standards of 2% on driving lanes, 4% on shoulders, as well as 6-by-1 slope for ditch lines. Potential flooded regions are identified by detecting areas with no LiDAR return and a recall score of 54% and 92% was achieved by the medium-grade wheel-based and vehicle-mounted portable systems, respectively. Furthermore, a framework for ditch line characterization is proposed and tested using datasets acquired by the medium-grade wheel-based and vehicle-mounted portable systems over a state highway. An existing ground filtering approach is modified to handle variations in point density of mobile LiDAR data. Hydrological analyses, including flow direction and flow accumulation, are applied to extract the drainage network from the digital terrain model (DTM). Cross-sectional/longitudinal profiles of the ditch are automatically extracted from LiDAR data, and visualized in 3D point clouds and 2D images. The slope derived from the LiDAR data was found to be very close to highway cross slope design standards of 2% on driving lanes, 4% on shoulder, as well as 6-by-1 slope for ditch lines. Potential flooded regions are identified by detecting areas with no LiDAR return and a recall score of 54% and 92% was achieved by the medium-grade wheel-based and vehicle-mounted portable systems, respectively.
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Newson, R. Raman Lidar Profiles Best Estimate Value-Added Product Technical Report. Office of Scientific and Technical Information (OSTI), January 2012. http://dx.doi.org/10.2172/1034094.

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Frehlich, Rodney. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration. Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1053852.

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Eloranta, Edwin W. Measurement of Mean Wind Profiles and Spatial Gradients of the Mean Wind with the Volume Imaging Lidar. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada357793.

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Douglas, Thomas A., Christopher A. Hiemstra, Stephanie P. Saari, Kevin L. Bjella, Seth W. Campbell, M. Torre Jorgenson, Dana R. N. Brown, and Anna K. Liljedahl. Degrading Permafrost Mapped with Electrical Resistivity Tomography, Airborne Imagery and LiDAR, and Seasonal Thaw Measurements. U.S. Army Engineer Research and Development Center, July 2021. http://dx.doi.org/10.21079/11681/41185.

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Accurate identification of the relationships between permafrost extent and landscape patterns helps develop airborne geophysical or remote sensing tools to map permafrost in remote locations or across large areas. These tools are particularly applicable in discontinuous permafrost where climate warming or disturbances such as human development or fire can lead to rapid permafrost degradation. We linked field-based geophysical, point-scale, and imagery surveying measurements to map permafrost at five fire scars on the Tanana Flats in central Alaska. Ground-based elevation surveys, seasonal thaw-depth profiles, and electrical resistivity tomography (ERT) measurements were combined with airborne imagery and light detection and ranging (LiDAR) to identify relationships between permafrost geomorphology and elapsed time since fire disturbance. ERT was a robust technique for mapping the presence or absence of permafrost because of the marked difference in resistivity values for frozen versus unfrozen material. There was no clear relationship between elapsed time since fire and permafrost extent at our sites. The transition zone boundaries between permafrost soils and unfrozen soils in the collapse-scar bogs at our sites had complex and unpredictable morphologies, suggesting attempts to quantify the presence or absence of permafrost using aerial measurements alone could lead to incomplete results. The results from our study indicated limitations in being able to apply airborne surveying measurements at the landscape scale toward accurately estimating permafrost extent.
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Wehr, Tobias, ed. EarthCARE Mission Requirements Document. European Space Agency, November 2006. http://dx.doi.org/10.5270/esa.earthcare-mrd.2006.

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ESA's EarthCARE (Cloud, Aerosol and Radiation Explorer) mission - scheduled to be launched in 2024 - is the largest and most complex Earth Explorer to date and will advance our understanding of the role that clouds and aerosols play in reflecting incident solar radiation back into space and trapping infrared radiation emitted from Earth's surface. The mission is being implemented in cooperation with JAXA (Japan Aerospace Exploration Agency). It carries four scientific instruments. The Atmospheric Lidar (ATLID), operating at 355 nm wavelength and equipped with a high-spectral resolution and depolarisation receiver, measures profiles of aerosols and thin clouds. The Cloud Profiling Radar (CPR, contribution of JAXA), operates at 94 GHz to measure clouds and precipitation, as well as vertical motion through its Doppler functionality. The Multi-Spectral Imager provides across-track information of clouds and aerosols. The Broad-Band Radiometer (BBR) measures the outgoing reflected solar and emitted thermal radiation in order to derive broad-band radiative fluxes at the top of atmosphere. The Mission Requirement Document defines the scientific mission objectives and observational requirements of EarthCARE. The document has been written by the ESA-JAXA Joint Mission Advisory Group for EarthCARE.
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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.
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Edgeworth R. Westwater and Yong Han. Progress report of FY 1999 activities: The application of Kalman filtering to derive water vapor profiles from combined ground-based sensors: Raman lidar, microwave radiometers, GPS, and radiosondes. Office of Scientific and Technical Information (OSTI), September 1999. http://dx.doi.org/10.2172/762789.

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Edgeworth R. Westwater and Yong Han. Progress report of FY 1998 activities: The application of Kalman filtering to derive water vapor profiles from combined ground-based sensors: Raman lidar, microwave radiometers, GPS, and radiosondes. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/762790.

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