Application of Random Forest Algorithm for Merging Multiple Satellite Precipitation Products across South Korea
Abstract
:1. Introduction
2. Data and Methodology
2.1. Study Area and Data
2.1.1. Study Area
2.1.2. Observation Data
2.1.3. Satellite-Based Precipitation Products
2.2. Methods
2.2.1. Processing Data
2.2.2. Random Forest
2.2.3. Statistical-Based Methods
2.2.4. Performance Evaluation
3. Results and Discussion
3.1. Temporal Evaluation of the Precipitation Products
3.2. Spatial Evaluation of the Precipitation Products
3.3. Comparison between RF and Different Merging Methods
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Data | Resolution | Coverage | Sources | ||
---|---|---|---|---|---|
Spatial | Temporal | Spatial | Temporal | ||
CHIRPSv2 | 0.05° | daily | Global 50°N-S | 1981-present | [16] |
GSMaP | 0.1° | daily | Global 60°N-S | 2000-present | [55] |
IMERG | 0.1° | daily | Global 60°N-S | 2000-present | [51] |
TRMM | 0.25° | daily | Global 50°N-S | 1998-present | [15] |
MSWEP | 0.10° | daily | Global 60°N-S | 1979-present | [7] |
Satellite Product | Observation Data | ||
---|---|---|---|
Yes | No | Total | |
Yes | Hit (H) | False alarm (F) | H + F |
No | Miss (M) | Correct negative (C) | M + C |
Total | H + M | F + C | N = H + F + M + C |
SPPs | MAE (mm/d) | RMSE (mm/d) | CC | β | γ | KGE |
---|---|---|---|---|---|---|
CHIRPSv2 | 4.65 | 13.83 | 0.46 | 0.96 | 0.97 | 0.46 |
GSMaP | 3.96 | 12.25 | 0.50 | 1.21 | 1.09 | 0.42 |
IMERG | 4.27 | 12.52 | 0.53 | 1.02 | 0.88 | 0.51 |
TRMM | 4.51 | 13.73 | 0.47 | 0.95 | 0.95 | 0.45 |
RF-MERGE | 1.09 | 4.44 | 0.95 | 1.09 | 1.04 | 0.86 |
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Nguyen, G.V.; Le, X.-H.; Van, L.N.; Jung, S.; Yeon, M.; Lee, G. Application of Random Forest Algorithm for Merging Multiple Satellite Precipitation Products across South Korea. Remote Sens. 2021, 13, 4033. https://doi.org/10.3390/rs13204033
Nguyen GV, Le X-H, Van LN, Jung S, Yeon M, Lee G. Application of Random Forest Algorithm for Merging Multiple Satellite Precipitation Products across South Korea. Remote Sensing. 2021; 13(20):4033. https://doi.org/10.3390/rs13204033
Chicago/Turabian StyleNguyen, Giang V., Xuan-Hien Le, Linh Nguyen Van, Sungho Jung, Minho Yeon, and Giha Lee. 2021. "Application of Random Forest Algorithm for Merging Multiple Satellite Precipitation Products across South Korea" Remote Sensing 13, no. 20: 4033. https://doi.org/10.3390/rs13204033