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Proceedings Paper

River discharge estimation through MODIS data
Author(s): Angelica Tarpanelli; Luca Brocca; Teodosio Lacava; Mariapia Faruolo; Florisa Melone; Tommaso Moramarco; Nicola Pergola; Valerio Tramutoli
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Paper 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.

Paper Details

Date Published: 6 October 2011
PDF: 8 pages
Proc. SPIE 8174, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 817408 (6 October 2011); doi: 10.1117/12.898201
Show Author Affiliations
Angelica Tarpanelli, Consiglio Nazionale delle Ricerche (Italy)
Luca Brocca, Consiglio Nazionale delle Ricerche (Italy)
Teodosio Lacava, Consiglio Nazionale delle Ricerche (Italy)
Univ. degli Studi della Basilicata (Italy)
Mariapia Faruolo, Consiglio Nazionale delle Ricerche (Italy)
Florisa Melone, Consiglio Nazionale delle Ricerche (Italy)
Tommaso Moramarco, Consiglio Nazionale delle Ricerche (Italy)
Nicola Pergola, Consiglio Nazionale delle Ricerche (Italy)
Univ. degli Studi della Basilicata (Italy)
Valerio Tramutoli, Univ. degli Studi della Basilicata (Italy)
Consiglio Nazionale delle Ricerche (Italy)


Published in SPIE Proceedings Vol. 8174:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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