姚宜斌
博士生导师
教师姓名:姚宜斌
教师拼音名称:Yao Yibin
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学历:研究生毕业
性别:男
职称:教授
毕业院校:武汉大学
所属院系:测绘学院
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邮箱:
- .175.Peng Chen, Zhiyuan An, Hui Xue,Yibin Yao, Xueying Yang, RongWang and Zhihao Wang,INPPTR: An improved retracking algorithm for inland water levels estimation using Cryosat-2 SARin data,Journal of Hydrology,2022,610,127927, DOI:10.1016/ j.jhydrol.2022.128439
- .174.Yang Liu,Yibin Yao* and Qingzhi Zhao, Real-Time Rainfall Nowcast Model by Combining CAPE and GNSS Observations,IEEE Transactions on Geoscience and Remote Sensing, 2022,DOI:10.1109/TGRS.2022.3206459
- .173.Yang Liu ,Yibin Yao*, Qingzhi Zhao and Zufeng Li,Stratified Rainfall Forecast method using GNSS Observations,Atmospheric Research,2022,280:106421,DOI:10.1016/j.atmosres.2022.106421
- .172.Huan Zhang *,Yibin Yao, Chaoqian Xu, Wei Xu, Junbo Shi,Transformer-Based Global Zenith Tropospheric Delay Forecasting Model,Remote Sensing,2022, 14(14), 3335,DOI:10.3390/rs14143335
- .171.Yang Wang,Yibin Yao,Jian Kong*,Changzhi Zhai,Xuanxi Chen and Lulu Shan, Analysis of the 3-D Evolution Characteristics of Ionospheric Anomalies During a Geomagnetic Storm Through Fusion of GNSS and COSMIC-2 Data,IEEE Transactions on Geoscience and Remote Sensing, 2022,60:5622412,DOI:10.1109/TGRS.2022.3188995
- .170.Yang Liu,Qingzhi Zhao*,Zufeng Li,Yibin Yaoand Xin Li,GNSS-derived PWV and meteorological data for short-term rainfall forecast based on Support Vector Machine,Advances in Space Research, 2022,DOI:10.1016/j.asr.2022.05.057
- .169.Xiongwei Ma,Yibin Yao*, Bao Zhang and Changyong He,Retrieval of high spatial resolution precipitable water vapor maps using heterogeneous earth observation data,Remote Sensing of Environment, 2022, 278,113100,DOI:10.1016/j.rse.2022.113100
- .168.Xiao Yan,Bao Zhang*,Yibin Yao,Jiabo Yin,Hansheng Wang and Qishun Ran,Jointly using the GLDAS 2.2 model and GRACE to study the severe Yangtze flooding of 2020,Journal of Hydrology,2022,610,127927, DOI:10.1016/j.jhydrol.2022.127927
- .167.Peng Chen*, Rong Wang,Yibin Yao, Zhiyuan An and Zhihao Wang,A novel ionospheric mapping function modeling at regional scale using empirical orthogonal functions and GNSS data,Journal of Geodesy, 2022,96:34,DOI:10.1007/s00190-022-01624-x
- .166.Xiongwei Ma,Yibin Yao*, Bao Zhang, Yuxin Qin, Qi Zhang and Hang Zhu, An improved MODIS NIR PWV retrieval algorithm based on an artificial neural network considering the land-cover types,IEEE Transactions on Geoscience and Remote Sensing, 2022,60:5622412,DOI:10.1109/TGRS.2022.3170078
