Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloRiver flow monitoring by Sentinel-3 OLCI and MODIS: comparison and combination
Anno di pubblicazione2020
Autore/iTarpanelli A., Iodice F., Brocca L., Restano M., Benveniste J.
Affiliazioni autoriResearch Institute for Geo-Hydrological Protection, National Research Council, Via Madonna Alta 126, I-06128 Perugia, Italy VITROCISET, Bratustrasse 7, D64295 Darmstadt, Germany SERCO/ESRIN, Via Galileo Galilei, I-00044 Frascati, Italy European Space Agency/ESRIN, Largo Galileo Galilei, Frascati I-00044, Italy
Autori CNR e affiliazioni
  • inglese
AbstractThe monitoring of rivers by satellite is an up-to-date subject in hydrological studies as confirmed by the interest of space agencies to finance specific missions that respond to the quantification of surface water flows. We address the problem by using multi-spectral sensors, in the near-infrared (NIR) band, correlating the reflectance ratio between a dry and a wet pixel extracted from a time series of images, the C/M ratio, with five river flow-related variables: water level, river discharge, flow area, mean flow velocity and surface width. The innovative aspect of this study is the use of the Ocean and Land Colour Instrument (OLCI) on board Sentinel-3 satellites, compared to the Moderate Resolution Imaging Spectroradiometer (MODIS) used in previous studies. Our results show that the C/M ratio from OLCI and MODIS is more correlated with the mean flow velocity than with other variables. To improve the number of observations, OLCI and MODIS products are combined into multi-mission time series. The integration provides good quality data at around daily resolution, appropriate for the analysis of the Po River investigated in this study. Finally, the combination of only MODIS products outperforms the other configurations with a frequency slightly lower (~1.8 days).
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RivistaRemote sensing (Basel)
Attiva dal 2009
Editore: Molecular Diversity Preservation International - Basel
Lingua: inglese
ISSN: 2072-4292
Titolo chiave: Remote sensing (Basel)
Titolo proprio: Remote sensing. (Basel)
Titolo abbreviato: Remote sens. (Basel)
Numero volume della rivista12
Fascicolo della rivista23
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
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Parole chiaveSentinel-3 OLCI, MODIS, river discharge, Po River, multi-mission series
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Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
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