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Using CYGNSS Data to Map Flood Inundation during the 2021 Extreme Precipitation in Henan Province, China 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 24, 页码: 15
作者:  Zhang, Shuangcheng;  Ma, Zhongmin;  Li, Zhenhong;  Zhang, Pengfei;  Liu, Qi;  Nan, Yang;  Zhang, Jingjiang;  Hu, Shengwei;  Feng, Yuxuan;  Zhao, Hebin
收藏  |  浏览/下载：0/0  |  提交时间：2022/08/15
Cyclone Global Navigation Satellite System  flood inundation  extreme precipitation  global navigation satellite system-reflectometry  Soil Moisture Active Passive  
Shaanxi Province Natural Science Basic Research Project[2020JQ-433] 项目
项目编号: 2020JQ-433, 资助机构: Shaanxi Province Natural Science Basic Research Project, 2021-
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收藏  |  浏览/下载：1/0  |  提交时间：2021/11/26
Optimization of ground tracking stations for BDS-3 satellite orbit determination 期刊论文
ADVANCES IN SPACE RESEARCH, 2021, 卷号: 68, 期号: 10, 页码: 4069-4087
作者:  Zhang, Rui;  Tu, Rui;  Zhang, Pengfei;  Fan, Lihong;  Han, Junqiang;  Wang, Siyao;  Hong, Ju;  Lu, Xiaochun
Adobe PDF(4989Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2021/11/26
Bds-3  Satellite Orbit Determination  Ground Tracking Station  Optimization Algorithm  Inter-satellite Link  
Evaluation of Precipitable Water Vapor Retrieval from Homogeneously Reprocessed Long-Term GNSS Tropospheric Zenith Wet Delay, and Multi-Technique 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 21, 页码: 22
作者:  Su, Hang;  Yang, Tao;  Wang, Kan;  Sun, Baoqi;  Yang, Xuhai
收藏  |  浏览/下载：0/0  |  提交时间：2022/08/15
ZWD  PWV  GNSS  ECMWF  MODIS  AIRS  
Shaanxi Province Natural Science Basic Research Project[2020JQ433] 项目
项目编号: 2020JQ433, 资助机构: Shaanxi Province Natural Science Basic Research Project, 2021-
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收藏  |  浏览/下载：0/0  |  提交时间：2021/11/29
Orbit determination of BDS-3 satellite based on regional ground tracking station and inter-satellite link observations 期刊论文
ADVANCES IN SPACE RESEARCH, 2021, 卷号: 67, 期号: 12, 页码: 4011-4024
作者:  Zhang, Rui;  Tu, Rui;  Zhang, Pengfei;  Fan, Lihong;  Han, Junqiang;  Lu, Xiaochun
收藏  |  浏览/下载：1/0  |  提交时间：2021/11/29
BDS-3  Inter-satellite link  China's regional ground tracking station  Multi-source observations  Variance component estimation