Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5754808 | Remote Sensing of Environment | 2017 | 11 Pages |
Abstract
The results confirmed the capability of the MODIS data to estimate river discharge with performance indices >Â 0.97 and 0.95 in terms of coefficient of correlation and Nash Sutcliffe efficiency. In particular, RMSE does not exceed 1300Â m3/s and the fractional RMSE ranges between 0.15 and 0.23. For the forecasting exercise, both altimetry and MODIS provide satisfactory results with positive coefficient of persistence considering 4Â days of lead time (>Â 0.34). Although altimetry was found to be more accurate in the forecasting of river discharge (RMSE ~Â 350Â m3/s), the much higher temporal resolution of MODIS guarantees a continuity that is more suitable to address operational activities.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Angelica Tarpanelli, Giriraj Amarnath, Luca Brocca, Christian Massari, Tommaso Moramarco,