Auswahl der wissenschaftlichen Literatur zum Thema „Spaceborne lida“
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Zeitschriftenartikel zum Thema "Spaceborne lida"
Liu, Qun, Xiaoyu Cui, Cédric Jamet, Xiaolei Zhu, Zhihua Mao, Peng Chen, Jian Bai und Dong Liu. „A Semianalytic Monte Carlo Simulator for Spaceborne Oceanic Lidar: Framework and Preliminary Results“. Remote Sensing 12, Nr. 17 (31.08.2020): 2820. http://dx.doi.org/10.3390/rs12172820.
Der volle Inhalt der QuelleJi, Jie, Chenbo Xie, Kunming Xing, Bangxin Wang, Jianfeng Chen, Liangliang Cheng und Xu Deng. „Simulation of Compact Spaceborne Lidar with High-Repetition-Rate Laser for Cloud and Aerosol Detection under Different Atmospheric Conditions“. Remote Sensing 15, Nr. 12 (10.06.2023): 3046. http://dx.doi.org/10.3390/rs15123046.
Der volle Inhalt der QuelleZhang, Zhenhua, Peng Chen und Zhihua Mao. „SOLS: An Open-Source Spaceborne Oceanic Lidar Simulator“. Remote Sensing 14, Nr. 8 (12.04.2022): 1849. http://dx.doi.org/10.3390/rs14081849.
Der volle Inhalt der QuelleYamamoto, Yasuji, Noritaka Tanioka und Tadashi Imai. „The spaceborne lidar experiment“. Acta Astronautica 39, Nr. 9-12 (November 1996): 687–95. http://dx.doi.org/10.1016/s0094-5765(97)00050-7.
Der volle Inhalt der QuelleLiu Dong, 刘东, 陈斯婕 Chen Sijie, 刘群 Liu Qun, 柯举 Ke Ju, 王南朝 Wang Nanchao, 孙颖姗 Sun Yingshan, 王帅博 Wang Shuaibo et al. „星载环境探测激光雷达及其关键技术“. Acta Optica Sinica 42, Nr. 17 (2022): 1701001. http://dx.doi.org/10.3788/aos202242.1701001.
Der volle Inhalt der QuelleLiu, Qun, Dong Liu, Jian Bai, Xiaoyu Cui, Yudi Zhou, Peituo Xu, Zhipeng Liu und Xiaobin Wang. „The Nonlinear Effective Attenuation Coefficient of Spaceborne Oceanic Lidar Signal“. EPJ Web of Conferences 237 (2020): 08022. http://dx.doi.org/10.1051/epjconf/202023708022.
Der volle Inhalt der QuelleWan Yuan, 万渊, 陈菡 Cheng Han, 杜嘉旻 Du Jiamin, 孟洁 Meng Jie, 谢可迪 Xie Kedi, 王明建 Wang Mingjian, 马秀华 Ma Xiuhua, 刘继桥 Liu Jiqiao, 侯霞 Hou Xia und 陈卫标 Chen Weibiao. „星载激光雷达激光器热控技术研究“. Chinese Journal of Lasers 50, Nr. 14 (2023): 1401005. http://dx.doi.org/10.3788/cjl221567.
Der volle Inhalt der QuelleChu Jiaqi, 储嘉齐, 韩於利 Han Yuli, 孙东松 Sun Dongsong, 赵一鸣 Zhao Yiming und 刘恒嘉 Liu Hengjia. „星载多普勒测风激光雷达小型化光学接收机“. Infrared and Laser Engineering 51, Nr. 9 (2022): 20210831. http://dx.doi.org/10.3788/irla20210831.
Der volle Inhalt der QuelleMarenco, Franco, Gemma Halloran und Mary Forsythe. „Operational use of spaceborne lidar datasets“. EPJ Web of Conferences 176 (2018): 02009. http://dx.doi.org/10.1051/epjconf/201817602009.
Der volle Inhalt der QuelleLiao Shujun, 廖淑君, 郜海阳 Gao Haiyang, 寇蕾蕾 Kou Leilei, 康佳慧 Kang Jiahui, 卜令兵 Bu Lingbing und 王震 Wang Zhen. „星载激光雷达探测云与气溶胶的仿真模拟“. Laser & Optoelectronics Progress 59, Nr. 10 (2022): 1028001. http://dx.doi.org/10.3788/lop202259.1028001.
Der volle Inhalt der QuelleDissertationen zum Thema "Spaceborne lida"
Schleich, Anouk. „Apport du lidar spatial pour le développement de méthodes d'inventaire forestier multisource adaptées à la gestion durable des forêts dans un contexte de changement global“. Electronic Thesis or Diss., Paris, AgroParisTech, 2024. http://www.theses.fr/2024AGPT0002.
Der volle Inhalt der QuelleThe thesis focuses on the contribution of spaceborne lidar to the development of Multisource Forest Inventory (MFI) methods. In France, the National Forest Inventory (NFI) method addresses the requirements of public policies at regional and national levels. However, on smaller territories, precision is often insufficient to meet the needs of management activities. MFI methods better address these needs by combining inventory data with remote sensing data. This thesis aims to improve NFI accuracy at sub-regional to local scales by integrating data from the spaceborne lidar GEDI into multisource approaches.Unfortunately, this integration is complicated due to the lack of spatial correspondence between field samples (inventory plots) and GEDI footprints. Additionally, GEDI data are poorly georeferenced, making them difficult to integrate into certain MFI approaches. This thesis focuses on these issues and is divided into three main parts.As a first step, a method for improving GEDI georeferencing, based on a high-resolution reference digital elevation model (DEM) was developed. This method compares, for a series of positions around the location indicated in the GEDI products, the ground elevations of the GEDI footprints with those of the reference DEM, generating an error map according to X and Y offsets. Using a flow accumulation algorithm on this error map, an improved position minimizing the distance from the DEM is proposed for each GEDI footprint.Next, two approaches for using GEDI data with NFI data were developed. The study sites are located in the Vosges and use ∼ 500 IFN plots and over 100,000 GEDI footprints.The first approach is a double sampling for stratification (2SS) approach, based on common variables between GEDI and NFI, without requiring spatial correspondence of the two data sources. 2SS approaches are generally based on probabilistic data samples, which is not a priori the case for GEDI's sampling pattern. Thus, a preliminary analysis was required to understand the characteristics of the spatial distribution of the GEDI sample. The relevance of the chosen common variable, i.e. the maximum tree height, was also verified. Compared with estimates based only on NFI data, the 2SS approach improved the variance of growing stock volume estimates by up to 56%.The second approach is based on a link between GEDI data and NFI data, established indirectly by using spatially exhaustive data sources, the Sentinel-2 and Sentinel-1 images. To establish the model linking the different data sources, we chose to use the k-nearest neighbor (kNN) method combined with bagging (bootstrap aggregation). The aim is to propagate information from field plots to GEDI footprints in order to "densify" NFI plots by taking advantage of GEDI forest structure measurements, which are well correlated with the forest attributes of interest (e.g. growing stock volume). First, for each NFI plot, we looked for the GEDI footprints with the characteristics of the Sentinel link variables, supplemented or not with a height link variable, that are closest to those of the NFI point. Using a kNN-bagging approach, the set of GEDI variables is therefore estimated for each NFI plot. Next, a regression model is established by kNN-bagging to estimate the volume using the best predicted GEDI variables from the previous step and the Sentinel variables. The volume is estimated at the level of all GEDI footprints. The strategy supplemented by a height link variable performed best and reached a coefficient of determination of 58%. Subsequently, using the resulting dense sample of volume plots, standard methods for small area estimation (scale of the municipality or district) or high-resolution volume mapping can be implemented
DeMello, John E. „Low-cost direct detect spaceborne LIDAR“. Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/42606.
Der volle Inhalt der QuelleLIDAR has widely been used to create very accurate 3-D models for use in a wide range of commercial, governmental and nonprofit applications. This thesis identifies how recent advancements in Nd:YAG fiber lasers and InGaAs GmAPDs could be applied to space-borne missions, enabling low-cost solutions that fulfill NASA’s ICESat-2 and United States Geological Survey (USGS) objectives. An analysis of launch vehicles, standard spacecraft buses and payload technologies identified three potential low-cost solutions: one hosted aboard Iridium and two onboard a BCP2000 commercial bus. These systems were evaluated using NASA’s mass-based and aperture-based cost models to provide a rough estimate of cost versus NASA’s CALIPSO, ICESat-1 and ICESat-2 missions. Preliminary analysis shows a potential for these new technologies to outperform any previous space-based LIDAR mission. At $55M, the Iridium-hosted solution is 1/16th the cost of ICESat-2 at roughly one-third its capability. Two other solutions were estimated at $216.6M and $370.586M and provided over 3X and 10X the estimated capability of ICESat-2, respectively. Both systems are anticipated to fulfill NASA’s ice sheet and vegetation objectives while delivering a return on investment of roughly $1B per year based on USGS’s analysis of advanced 3-D data for the United States.
Tröbs, Michael. „Laser development and stabilization for the spaceborne interferometric gravitational wave detector LISA“. [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=974983705.
Der volle Inhalt der QuelleTsui, Olivier W. L. „Integrating discrete-return scanning LiDAR and spaceborne RADAR to support aboveground biomass assessments“. Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44013.
Der volle Inhalt der QuelleLieser, Maike Danielle [Verfasser]. „LISA optical bench development : experimental investigation of tilt-to-length coupling for a spaceborne gravitational wave detector / Maike Danielle Lieser“. Hannover : Technische Informationsbibliothek (TIB), 2017. http://d-nb.info/1169964109/34.
Der volle Inhalt der QuelleLieser, Maike [Verfasser]. „LISA optical bench development : experimental investigation of tilt-to-length coupling for a spaceborne gravitational wave detector / Maike Danielle Lieser“. Hannover : Technische Informationsbibliothek (TIB), 2017. http://d-nb.info/1169964109/34.
Der volle Inhalt der QuelleBallhorn, Uwe. „Airborne and spaceborne LiDAR data as a measurement tool for peatland topography, peat fire burn depth, and forest above ground biomass in Central Kalimantan, Indonesia“. Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-146579.
Der volle Inhalt der QuelleBallhorn, Uwe [Verfasser], und Florian [Akademischer Betreuer] Siegert. „Airborne and spaceborne LiDAR data as a measurement tool for peatland topography, peat fire burn depth, and forest above ground biomass in Central Kalimantan, Indonesia / Uwe Ballhorn. Betreuer: Florian Siegert“. München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2012. http://d-nb.info/1026211123/34.
Der volle Inhalt der QuelleYoung, Alisa H. „The characterization of deep convection in the tropical tropopause layer using active and passive satellite observations“. Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41210.
Der volle Inhalt der QuellePanglosse, Aymeric. „Modélisation pour la simulation et la prédiction des performances des photodiodes à avalanche en mode Geiger pour Lidars spatiaux“. Thesis, Toulouse, ISAE, 2019. http://www.theses.fr/2019ESAE0046.
Der volle Inhalt der QuelleThis work focuses on modelling for simulation and prediction purposes ofCMOS SPADs performance parameters used in spaceborne Lidars. The innovative side ofthis work lies in a new methodology based on physical models for semiconductor devices,measurements performed on the targeted CMOS process and commercial simulation tools topredict CMOS SPADs performances. This method allows to get as close as possible to theprocess reality and to improve predictions. A set of SPAD has been designed and fabricated,and is used for measurements and model validation. SPAD design has been done with respectto CNES and Airbus Defence Space Lidar specification, in order to produce devices that willimprove our knowledge in terms of understanding of the involved physical mechanisms, SPADsdesign and test method, for a possible integration within their future spaceborne Lidars
Bücher zum Thema "Spaceborne lida"
H, Kim Kyong, und Langley Research Center, Hrsg. Development of mid-infrared solid state lasers for spaceborne lidar: Final report. [Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.
Den vollen Inhalt der Quelle findenUnited States. National Aeronautics and Space Administration., Hrsg. Development of mid-infrared solid state lasers for spaceborne lidar: Progress report. Hampton, Va: Dept. of Physics, Hampton University, 1989.
Den vollen Inhalt der Quelle findenH, Kim Kyong, und Langley Research Center, Hrsg. Development of mid-infrared solid state lasers for spaceborne lidar: Final report. [Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.
Den vollen Inhalt der Quelle findenUnited States. National Aeronautics and Space Administration., Hrsg. Development of mid-infrared solid state lasers for spaceborne lidar: Progress report. Hampton, Va: Dept. of Physics, Hampton University, 1989.
Den vollen Inhalt der Quelle findenH, Kim Kyong, und Langley Research Center, Hrsg. Development of mid-infrared solid state lasers for spaceborne lidar: Final report. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.
Den vollen Inhalt der Quelle findenH, Kim Kyong, und United States. National Aeronautics and Space Administration., Hrsg. Development of mid-infrared solid state lasers for spaceborne lidar: Semiannual progress report. [Washington, DC: National Aeronautics and Space Administration, 1988.
Den vollen Inhalt der Quelle findenH, Kim Kyong, und United States. National Aeronautics and Space Administration., Hrsg. Development of mid-infrared solid state lasers for spaceborne lidar: Semiannual progress report. [Washington, DC: National Aeronautics and Space Administration, 1988.
Den vollen Inhalt der Quelle findenD, Emmitt G., und United States. National Aeronautics and Space Administration., Hrsg. The SPAce Readiness Coherent Lidar Experiment (SPARCLE) space shuttle mission. [Washington, DC: National Aeronautics and Space Administration, 1998.
Den vollen Inhalt der Quelle findenNational Aeronautics and Space Administration (NASA) Staff. Development of Mid-Infrared Solid State Lasers for Spaceborne Lidar. Independently Published, 2018.
Den vollen Inhalt der Quelle findenLidar performance analysis. [Washington, DC: National Aeronautics and Space Administration, 1994.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Spaceborne lida"
Lausch, Angela, Marco Heurich, Paul Magdon, Duccio Rocchini, Karsten Schulz, Jan Bumberger und Doug J. King. „A Range of Earth Observation Techniques for Assessing Plant Diversity“. In Remote Sensing of Plant Biodiversity, 309–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_13.
Der volle Inhalt der QuelleReitebuch, Oliver. „The Spaceborne Wind Lidar Mission ADM-Aeolus“. In Atmospheric Physics, 815–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30183-4_49.
Der volle Inhalt der QuelleTagliente, M., G. Campiti, G. Brunetti, M. N. Armenise und C. Ciminelli. „Spaceborne LiDAR for Debris Detection and Tracking“. In Proceedings of SIE 2022, 172–77. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26066-7_27.
Der volle Inhalt der QuelleMarini, A., E. Armandillo, A. Culoma und C. Norrie. „Spaceborne Lidar Activities at the European Space Agency“. In Advances in Atmospheric Remote Sensing with Lidar, 209–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_52.
Der volle Inhalt der QuelleEndemann, M. „A Small Spaceborne Lidar for Atmospheric Backscatter Measurements“. In Laser/Optoelektronik in der Technik / Laser/Optoelectronics in Engineering, 612–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82638-2_113.
Der volle Inhalt der QuelleWiegner, Matthias, Ulrich Oppel, Heike Krasting, Wolfgang Renger, Christoph Kiemle und Martin Wirth. „Cirrus Measurements from a Spaceborne Lidar: Influence of Multiple Scattering“. In Advances in Atmospheric Remote Sensing with Lidar, 189–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_47.
Der volle Inhalt der QuellePelon, J., M. Doutriaux, V. Trouillet, P. H. Flamant, H. Letreut und G. Sèze. „Expected Cirrus Cloud Climatology Improvement Using a Spaceborne Backscatter Lidar“. In Advances in Atmospheric Remote Sensing with Lidar, 205–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_51.
Der volle Inhalt der QuelleCurran, R. J. „NASA Plans for Spaceborne Lidar: The Earth Observing System“. In Tunable Solid State Lasers for Remote Sensing, 4–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-540-39765-6_2.
Der volle Inhalt der QuelleFranco, Noemi, Paolo Di Girolamo, Andreas Behrendt, Volker Wulfmeyer, Adolfo Comerón, Donato Summa und David N. Whiteman. „Performance Simulation of a Spaceborne Raman Lidar for ATLAS“. In Proceedings of the 30th International Laser Radar Conference, 699–705. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37818-8_90.
Der volle Inhalt der QuelleQuenzel, H., und M. Kästner. „Potentials and Capabilities of a Spaceborne Backscatter Lidar for Meteorology“. In Atmospheric Radiation, 645–52. Boston, MA: American Meteorological Society, 1987. http://dx.doi.org/10.1007/978-1-935704-18-8_94.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Spaceborne lida"
Sroga, J., und A. Rosenberg. „0.53 µm Incoherent Doppler Lidar: Current Status“. In Laser and Optical Remote Sensing: Instrumentation and Techniques. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/lors.1987.wc19.
Der volle Inhalt der QuelleKrawczyk, R., JB Ghibaudo, JY Labandibar, D. Willetts, M. Vaughan, G. Pearson, M. Harris et al. „ALADIN: an Atmospheric Laser Doppler Wind Lidar instrument for wind velocity measurements from space“. In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.mc3.
Der volle Inhalt der QuelleVoigtkaunder, Florian, und Guenter Czerwinski. „The Kaul-Samokhvalov-Balin-Samoilova approximation for spaceborne lidar returns“. In Lidar Multiple Scattering Experiments, herausgegeben von Christian Werner, Ulrich G. Oppel und Tom Rother. SPIE, 2003. http://dx.doi.org/10.1117/12.512344.
Der volle Inhalt der QuelleWerner, Christian, Ines Leike, Juergen Streicher, Werner Wergen, Viktor A. Banakh und Igor N. Smalikho. „Spaceborne Doppler lidar perspectives“. In Fifth International Symposium on Atmospheric and Ocean Optics, herausgegeben von Vladimir E. Zuev und Gennadii G. Matvienko. SPIE, 1999. http://dx.doi.org/10.1117/12.337037.
Der volle Inhalt der QuelleCecchi, Giovanna. „Spaceborne Fluorescence Lidar Concept“. In SpaceOps 2012. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1294855.
Der volle Inhalt der QuelleFlamant, P. H., C. Loth und A. Bouteyre. „The CNES-CNRS Ground-Based Infrared CO2 Lidar System“. In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/clr.1987.thb6.
Der volle Inhalt der QuelleNimelman, M., J. Tripp, G. Bailak und J. Bolger. „Spaceborne scanning lidar system (SSLS)“. In Defense and Security, herausgegeben von Peter Tchoryk, Jr. und Brian Holz. SPIE, 2005. http://dx.doi.org/10.1117/12.604203.
Der volle Inhalt der QuelleWerner, Christian, W. Krichbaumer und Gennadii G. Matvienko. „Spaceborne lidar for cloud monitoring“. In Satellite Remote Sensing, herausgegeben von Christian Werner. SPIE, 1994. http://dx.doi.org/10.1117/12.195854.
Der volle Inhalt der QuelleBalin, Yuri S., Vladimir E. Mel'nikov, Alexander A. Tikhomirov, I. V. Znamenskii, Svetlana V. Samoilova und Vladimir E. Zuev. „Spaceborne aerosol lidar BALKAN-1“. In Satellite Remote Sensing, herausgegeben von Christian Werner. SPIE, 1994. http://dx.doi.org/10.1117/12.195856.
Der volle Inhalt der QuelleRoyer, Michel, Rémy Charasse und Thierry Midavaine. „NT n° 6539/95 Coherent laser detection and receivers for Doppler Wind lidars“. In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.pdp5.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Spaceborne lida"
Gallon, Derek W., und John R. Hummel. Review of Inversion Techniques for Spaceborne Lidar Systems. Fort Belvoir, VA: Defense Technical Information Center, Dezember 1986. http://dx.doi.org/10.21236/ada184164.
Der volle Inhalt der QuelleLetcher, Theodore, Kent Sparrow und Sandra LeGrand. Establishing a series of dust event case studies for East Asia. Engineer Research and Development Center (U.S.), Oktober 2023. http://dx.doi.org/10.21079/11681/47824.
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