Thanks to the large number of satellites, the multimission approach is becoming a viable method to integrate measurements and intensify the number of samples in space and time for monitoring the earth system. In this paper, we merged data from different satellite missions, optical sensors, and al...
Tarpanelli, A.
,
Santi, E.
,
Tourian, M.J.
,
Filippucci, P.
,
Amarnath, Giriraj
,
Brocca, L.
,
[Daily river discharge estimates by merging satellite optical sensors and radar altimetry through artificial neural network]
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Daily river discharge estimates by merging satellite optical sensors and radar altimetry through artificial neural network
Flooding is one of the most devastating natural hazards in the world and its forecast is essential in flood risk reduction and disaster response decision. The lack of adequate monitoring networks, especially in developing countries prevents near real-time flood prediction that could help to reduc...
Tarpanelli, A.
,
Amarnath, Giriraj
,
Brocca, L.
,
Massari, C.
,
Moramarco, T.
,
[Discharge estimation and forecasting by MODIS and altimetry data in Niger-Benue River]
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Discharge estimation and forecasting by MODIS and altimetry data in Niger-Benue River
A merging procedure is applied to five daily rainfall estimates achieved via SM2RAIN applied to the soil moisture products obtained by the Advanced SCATterometer, the Advanced Microwave Scanning Radiometer 2, the Soil Moisture Active and Passive mission, the Soil Moisture and Ocean Salinity missi...
Tarpanelli, A.
,
Massari, C.
,
Ciabatta, L.
,
Filippucci, P.
,
Amarnath, Giriraj
,
Brocca, L.
,
[Exploiting a constellation of satellite soil moisture sensors for accurate rainfall estimation]
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Exploiting a constellation of satellite soil moisture sensors for accurate rainfall estimation