NAOC Open IR

Browse/Search Results:  1-7 of 7 Help

Selected(0)Clear Items/Page:    Sort:
Improving CyGNSS-Based Land Remote Sensing: Track-Wise Data Calibration Schemes 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 14, 页码: 15
Authors:  Yan, Qingyun;  Hu, Ting;  Jin, Shuanggen;  Huang, Weimin;  Jia, Yan;  Chen, Tiexi;  Wang, Jian
Favorite  |  View/Download:6/0  |  Submit date:2021/12/06
CyGNSS  GNSS-R  data calibration  soil moisture  
Improving CyGNSS-Based Land Remote Sensing: Track-Wise Data Calibration Schemes 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 14, 页码: 15
Authors:  Yan, Qingyun;  Hu, Ting;  Jin, Shuanggen;  Huang, Weimin;  Jia, Yan;  Chen, Tiexi;  Wang, Jian
Favorite  |  View/Download:3/0  |  Submit date:2021/12/06
CyGNSS  GNSS-R  data calibration  soil moisture  
Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression With a Preclassification Approach 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 4879-4893
Authors:  Jia, Yan;  Jin, Shuanggen;  Chen, Haolin;  Yan, Qingyun;  Savi, Patrizia;  Jin, Yan;  Yuan, Yuan
Favorite  |  View/Download:4/0  |  Submit date:2021/12/06
Spatial resolution  Soil moisture  Maximum likelihood estimation  Spaceborne radar  Reflectivity  Moisture  Vegetation mapping  CYGNSS  GNSS-Reflectometry  preclassifica  tion  SMAP  soil moisture  XGBoost  
Temporal-Spatial Soil Moisture Estimation from CYGNSS Using Machine Learning Regression With a Preclassification Approach 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 4879-4893
Authors:  Jia, Yan;  Jin, Shuanggen;  Chen, Haolin;  Yan, Qingyun;  Savi, Patrizia;  Jin, Yan;  Yuan, Yuan
Favorite  |  View/Download:4/0  |  Submit date:2021/12/06
Spatial resolution  Soil moisture  Maximum likelihood estimation  Spaceborne radar  Reflectivity  Moisture  Vegetation mapping  CYGNSS  GNSS-Reflectometry  preclassifica  tion  SMAP  soil moisture  XGBoost  
Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 22, 页码: 24
Authors:  Jia, Yan;  Jin, Shuanggen;  Savi, Patrizia;  Yan, Qingyun;  Li, Wenmei
Favorite  |  View/Download:5/0  |  Submit date:2021/12/06
Global Navigation Satellite System-Reflectometry (GNSS-R)  soil moisture retrieval  signal-to-noise ratio (SNR)  random forest (RF)  support vector machine (SVM)  
Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 22, 页码: 24
Authors:  Jia, Yan;  Jin, Shuanggen;  Savi, Patrizia;  Yan, Qingyun;  Li, Wenmei
Favorite  |  View/Download:3/0  |  Submit date:2021/12/06
Global Navigation Satellite System-Reflectometry (GNSS-R)  soil moisture retrieval  signal-to-noise ratio (SNR)  random forest (RF)  support vector machine (SVM)  
Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector Machine Learning Approach 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 22, 页码: 24
Authors:  Jia, Yan;  Jin, Shuanggen;  Savi, Patrizia;  Yan, Qingyun;  Li, Wenmei
Favorite  |  View/Download:4/0  |  Submit date:2021/12/06
Global Navigation Satellite System-Reflectometry (GNSS-R)  soil moisture retrieval  signal-to-noise ratio (SNR)  random forest (RF)  support vector machine (SVM)