A Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and GRNN Model
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Materials
2.2.1. Ground Data
2.2.2. FY-3B SM Products
2.2.3. Multi-source Remote Sensing Data
2.3. Methods
2.3.1. Obtaining High Spatio-Temporal Resolution Input Variables
2.3.2. Obtaining Low-Resolution Input Variables
2.3.3. Training GRNN at Low Resolution
2.3.4. Improving SM Spatio-temporal Resolution
2.3.5. Performance Metrics
3. Results and Discussions
3.1. Spatial Resolution Analysis
3.2. Temporal Resolution Analysis
3.3. Comparison with the Original FY-3B Soil Moisture and In Situ Measurements
4. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Network Name | Number of Stations | Depth (cm) |
---|---|---|
NWL005 | 5 | 5 |
NWL010 | 8 | 5 |
NWL025 | 14 | 5 |
NWL100 | 57 | 5 |
Source | Network | RMSE | Bias | ubRMSE | N |
---|---|---|---|---|---|
FY_Ori FY_Imp | NWL025 | 0.102 | −0.007 | 0.102 | 170 |
NWL100 | 0.082 | −0.007 | 0.082 | 191 | |
NWL025 | 0.090 | −0.007 | 0.090 | 357 | |
NWL100 | 0.069 | −0.007 | 0.069 | 364 |
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Cui, Y.; Chen, X.; Xiong, W.; He, L.; Lv, F.; Fan, W.; Luo, Z.; Hong, Y. A Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and GRNN Model. Remote Sens. 2020, 12, 455. https://doi.org/10.3390/rs12030455
Cui Y, Chen X, Xiong W, He L, Lv F, Fan W, Luo Z, Hong Y. A Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and GRNN Model. Remote Sensing. 2020; 12(3):455. https://doi.org/10.3390/rs12030455
Chicago/Turabian StyleCui, Yaokui, Xi Chen, Wentao Xiong, Lian He, Feng Lv, Wenjie Fan, Zengliang Luo, and Yang Hong. 2020. "A Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and GRNN Model" Remote Sensing 12, no. 3: 455. https://doi.org/10.3390/rs12030455