Article ID Journal Published Year Pages File Type
5754808 Remote Sensing of Environment 2017 11 Pages PDF
Abstract
The results confirmed the capability of the MODIS data to estimate river discharge with performance indices > 0.97 and 0.95 in terms of coefficient of correlation and Nash Sutcliffe efficiency. In particular, RMSE does not exceed 1300 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 4 days of lead time (> 0.34). Although altimetry was found to be more accurate in the forecasting of river discharge (RMSE ~ 350 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
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