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USA-NY-BALDWIN Azienda Directories
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Azienda News:
- Yunmeng CAO | Researcher | PhD | GNS Science, Lower Hutt | Earth . . .
Tropospheric delays are still the main error source of satellite‐based Interferometric Synthetic Aperture Radar (InSAR) mapping of Earth’s surface movements Recent studies have demonstrated the
- 中南大学 曹云梦
曹云梦，博士 (中美联合培养)，教授，博士生导师，国家高层次青年人才项目获得者。 主要从事卫星大地测量理论算法和应用相关的研究工作，曾先后任职于沙特阿卜杜拉国王科技大学（博士后）、日本东京大学地震研究所（特邀访问研究员）、新西兰皇家科学院地质与核科学研究所 GNS Science （终身制科学家）。
- ymcmrs (Yunmeng Cao) - GitHub
Python based toolbox for InSAR troposphere Correction using global Atmospheric Models that considers the spatial Stochastic properties of the troposphere (ICAMS) Incorporating GPS and InSAR based on python for deformation estimation, atmosphere correction and precipitable water vapor estimation
- Yunmeng Cao - Google Scholar
Professor of Space Geodesy, Central South University - Cited by 471 - Space geodesy - InSAR - Geophysics - Natural Hazards
- Yunmeng Cao – Earthquake Research Institute, the University of Tokyo
He explores advanced approaches to improve satellite geodesy for better geoscience applications, and he also develops a couple of open-source softwares for processing SAR InSAR data precisely, automatically, and rapidly, that are used across the satellite geodesy community
- 曹云梦-2014级博士研究生-地球科学与信息物理学院 - csu. edu. cn
主要从事InSAR大气建模与改正、InSAR形变监测的不确定性分析研究。
- Yunmeng Cao | IEEE Xplore Author Details
Yunmeng Cao received the Ph D degree in geodesy from Central South University, Changsha, China, in 2019
- Robust variance–covariance estimation of tropospheric turbulence . . .
Here we propose a new variance–covariance estimation (VCE) method to robustly model the stochastic properties of the uncorrected tropospheric turbulence in time-series of SAR images
- Yunmeng Cao - GNS Science | Te Pū Ao
InSAR observation error mitigation for better geoscience applications Error or signal? How to model mitigate? Powered by Jekyll with Phantom template by Jami Gibbs and Mike © Copyright Yunmeng Cao
- Advanced InSAR Tropospheric Corrections From Global Atmospheric Models . . .
Recent studies have demonstrated the potential of global atmospheric models (GAMs) in reducing InSAR tropospheric delays However, the importance of appropriate interpolation and weighting
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