Water Level Reconstruction Based on Satellite Gravimetry in the Yangtze River Basin
Abstract
:1. Introduction
2. Geography of Yangtze River Basin and Data Usage
2.1. Geographic Environment of the YRB
2.2. Ground-Based and Remote Sensing Data
2.3. GRACE TWS and GRACE-DSI
2.4. PDSI and ENSO Indices
3. Methodology and Assessment Scheme
3.1. Correlative Analysis and Prediction Procedures
3.2. Performance Assessment Schemes
4. Results and Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Station | Index | PCC | RMSE (m) | NSE | |
---|---|---|---|---|---|
Datong | Remote sensing | NDVI | 0.837 | 1.411 | 0.700 |
LST | 0.819 | 1.479 | 0.671 | ||
TWS | 0.905 | 1.110 | 0.819 | ||
Drought index | GRACE-DSI | 0.945 | 0.881 | 0.886 | |
PDSI | 0.891 | 1.274 | 0.756 | ||
ENSO indices | SST | 0.872 | 1.288 | 0.751 | |
SOI | 0.868 | 1.322 | 0.738 | ||
MEI | 0.863 | 1.332 | 0.734 | ||
Hukou predicted by Datong | Remote sensing | NDVI | 0.833 | 1.827 | 0.693 |
LST | 0.821 | 1.882 | 0.674 | ||
TWS | 0.900 | 1.455 | 0.810 | ||
Drought index | GRACE-DSI | 0.946 | 1.122 | 0.887 | |
PDSI | 0.881 | 1.755 | 0.717 | ||
ENSO indices | SST | 0.854 | 1.773 | 0.712 | |
SOI | 0.851 | 1.820 | 0.696 | ||
MEI | 0.840 | 1.854 | 0.685 |
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Fok, H.S.; He, Q. Water Level Reconstruction Based on Satellite Gravimetry in the Yangtze River Basin. ISPRS Int. J. Geo-Inf. 2018, 7, 286. https://doi.org/10.3390/ijgi7070286
Fok HS, He Q. Water Level Reconstruction Based on Satellite Gravimetry in the Yangtze River Basin. ISPRS International Journal of Geo-Information. 2018; 7(7):286. https://doi.org/10.3390/ijgi7070286
Chicago/Turabian StyleFok, Hok Sum, and Qing He. 2018. "Water Level Reconstruction Based on Satellite Gravimetry in the Yangtze River Basin" ISPRS International Journal of Geo-Information 7, no. 7: 286. https://doi.org/10.3390/ijgi7070286