Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Kameyama, Shumpei, Furuta, Masashi, Yoshikawa, Eiichi (2023) Performance Simulation Theory of Low-Level Wind Shear Detections Using an Airborne Coherent Doppler Lidar Based on RTCA DO-220. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2022.3231848

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePerformance Simulation Theory of Low-Level Wind Shear Detections Using an Airborne Coherent Doppler Lidar Based on RTCA DO-220
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsKameyama, ShumpeiAuthor
Furuta, MasashiAuthor
Yoshikawa, EiichiAuthor
Year2023Volume61
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2022.3231848Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15670028Long-form Identifiermindat:1:5:15670028:5
GUID0
Full ReferenceKameyama, Shumpei, Furuta, Masashi, Yoshikawa, Eiichi (2023) Performance Simulation Theory of Low-Level Wind Shear Detections Using an Airborne Coherent Doppler Lidar Based on RTCA DO-220. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2022.3231848
Plain TextKameyama, Shumpei, Furuta, Masashi, Yoshikawa, Eiichi (2023) Performance Simulation Theory of Low-Level Wind Shear Detections Using an Airborne Coherent Doppler Lidar Based on RTCA DO-220. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2022.3231848
In(2023) IEEE Transactions on Geoscience and Remote Sensing Vol. 61. Institute of Electrical and Electronics Engineers (IEEE)

See Also

These are possibly similar items as determined by title/reference text matching only.

Kameyama, Shumpei, Furuta, Masashi, Yoshikawa, Eiichi (2023) Theoretical Performance of Airborne Coherent Doppler Lidar for Turbulence Detection Using Spectral Width Estimation of Heterodyne-Detected Signal. IEEE Transactions on Geoscience and Remote Sensing, 61. Institute of Electrical and Electronics Engineers (IEEE) 1-9 doi:10.1109/tgrs.2023.3294516
Ito, Yusuke, Imaki, Masaharu, Sakimura, Takeshi, Yanagisawa, Takayuki, Kameyama, Shumpei (2022) Evidence of Decreased Heterodyne-Detection Efficiency Caused by Fast Beam Scanning in Wind Sensing Coherent Doppler Lidar, and Demonstration on Recovery of the Efficiency With Lag-Angle Compensation. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-10 doi:10.1109/tgrs.2022.3196666
Kameyama, S., Ando, T., Asaka, K., Hirano, Y., Wadaka, S. (2009) Performance of Discrete-Fourier-Transform-Based Velocity Estimators for a Wind-Sensing Coherent Doppler Lidar System in the Kolmogorov Turbulence Regime. IEEE Transactions on Geoscience and Remote Sensing, 47 (10) 3560-3569 doi:10.1109/tgrs.2009.2022062
Xu, He, Sun, Difeng, Wu, Youcao, Wang, Xuesong, Li, Jianbing (2023) Detection Range/Spatial Resolution Enhancement of Coherent Doppler Wind Lidar Based on Improved Simplex Coding. IEEE Transactions on Geoscience and Remote Sensing, 61. Institute of Electrical and Electronics Engineers (IEEE) 1-11 doi:10.1109/tgrs.2023.3295085
Abdelazim, Sameh, Santoro, David, Arend, Mark F., Moshary, Fred, Ahmed, Sam (2015) Development and Operational Analysis of an All-Fiber Coherent Doppler Lidar System for Wind Sensing and Aerosol Profiling. IEEE Transactions on Geoscience and Remote Sensing, 53 (12) 6495-6506 doi:10.1109/tgrs.2015.2442955
Xu, He, Han, Changlin, Wu, Youcao, Sun, Difeng, Wang, Xuesong, Li, Jianbing (2023) A Probability-Constraint-Based Method for Robust Wind Velocity Estimation in Lidar Doppler Spectrograms With Low Signal-to-Noise Ratio. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-10 doi:10.1109/tgrs.2023.3298669
Ma, Mengbo, Tang, Jinsong, Wu, Haoran, Zhang, Peng, Ning, Mingqiang (2023) CZT Algorithm for the Doppler Scale Signal Model of Multireceiver SAS Based on Shear Theorem. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3234572
Zhao, Chen, Wang, Xiao, Chen, Zezong, Wu, Sitao, Zeng, Yichen (2023) Inversion of Wave Parameters From Time-Doppler Spectrum Using Shore-Based Coherent S-Band Radar. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-11 doi:10.1109/tgrs.2023.3241117
Tian, Luo, Qu, Yonghua (2023) Assessing Factors That Affect the Estimation of a Canopy’s Gap Fraction and Extinction Coefficient Using Discrete Airborne LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-14 doi:10.1109/tgrs.2023.3272913
Jiang, Ge, Yan, Wai Yeung, Lichti, Derek D. (2023) A Maximum Entropy-Based Optimal Neighbor Selection for Multispectral Airborne LiDAR Point Cloud Classification. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-18 doi:10.1109/tgrs.2023.3323963
Wang, Yuanhao, Wang, Hongqiang, Yi, Jun, Yang, Qi, Zeng, Yang (2023) Stepped Frequency Signal-Based STAP for Airborne Distributed Coherent Aperture Radar. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-20 doi:10.1109/tgrs.2023.3323034
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 21, 2025 06:50:58
Go to top of page