http://www.cnr.it/ontology/cnr/individuo/prodotto/ID207855
River discharge estimation through MODIS data (Contributo in atti di convegno)
- Type
- Label
- River discharge estimation through MODIS data (Contributo in atti di convegno) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1117/12.898201 (literal)
- Alternative label
Tarpanelli A., Brocca L., Lacava T., Faruolo M., Melone F., Moramarco T., Pergola N., Tramutoli V. (2011)
River discharge estimation through MODIS data
in Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII/18th International Symposium on Remote Sensing, Prague, CZECH REPUBLIC, Prague;19 September 2011through21 September 2011
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Tarpanelli A., Brocca L., Lacava T., Faruolo M., Melone F., Moramarco T., Pergola N., Tramutoli V. (literal)
- Pagina inizio
- Art. N 817408-1 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1269629 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- ISI Web of Science (WOS) (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Research Institute for Geo-Hydrological Protection, Perugia, Italy.
CNR-IMAA, National Research Council, Institute of Methodologies for Environmental Analysis, 85050 Tito Scalo (PZ), Italy.
Department of Engineering and Physics of Environment (DIFA), University of Basilicata, Potenza, Italy. (literal)
- Titolo
- River discharge estimation through MODIS data (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-0-81948-801-5 (literal)
- 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. (literal)
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