River discharge estimation through MODIS data

Angelica Tarpanelli; Luca Brocca; Teodosio Lacava; Mariapia Faruolo; Florisa Melone; Tommaso Moramarco; Nicola Pergola; Valerio Tramutoli

doi:10.1117/12.898201

6 October 2011 River discharge estimation through MODIS data

Angelica Tarpanelli, Luca Brocca, Teodosio Lacava, Mariapia Faruolo, Florisa Melone, Tommaso Moramarco, Nicola Pergola, Valerio Tramutoli

Author Affiliations +

Proceedings Volume 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII; 817408 (2011) https://doi.org/10.1117/12.898201
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

River discharge is an important quantity of the hydrologic cycle because it is essential for both scientific and operational applications related to water resources management and flood risk prevention. Streamflow measurements are sparse and for few sites along natural channels and, hence, they are not able to detect adequately the complexity of variation in surface water systems. Therefore, in recent years, the possibility to obtain river discharge estimates through remote sensing monitoring has received a great interest. In this context, the capability of the MODerate resolution Imaging Spectroradiometer (MODIS) for river discharge estimation is investigated here. Thanks to a very short revisiting time interval and a moderate spatial resolution (up to 250 m), MODIS has a significant potential for mapping flooded area extent and flow dynamics. Specifically, for the estimation of river discharge, the ratio of the MODIS channel 2 reflectance values between two pixels located within and outside the river is used. Time series of daily discharge between 2006 and 2010 measured at two gauging stations located along the Upper Tiber River basin (central Italy) are employed to test the procedure. The agreement between MODIS-derived and in situ discharge time series is found to be fairly good with correlation coefficient values close to 0.8.

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Angelica Tarpanelli, Luca Brocca, Teodosio Lacava, Mariapia Faruolo, Florisa Melone, Tommaso Moramarco, Nicola Pergola, and Valerio Tramutoli "River discharge estimation through MODIS data", Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817408 (6 October 2011); https://doi.org/10.1117/12.898201

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