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dc.contributor.author
Vittucci, Cristina
dc.contributor.author
Guerriero, Lelia
dc.contributor.author
Ferrazzoli, Paolo
dc.contributor.author
Rahmoune, Rashid
dc.contributor.author
Barraza Bernadas, Verónica Daniela
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dc.contributor.author
Grings, Francisco Matias
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dc.date.available
2017-07-28T15:03:57Z
dc.date.issued
2014-05
dc.identifier.citation
Vittucci, Cristina; Guerriero, Lelia; Ferrazzoli, Paolo; Rahmoune, Rashid; Barraza Bernadas, Verónica Daniela; et al.; River Water Level Prediction Using Passive Microwave Signatures. A Case Study: The Bermejo Basin; Institute of Electrical and Electronics Engineers; Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing; 7; 9; 5-2014; 3903-3914
dc.identifier.issn
1939-1404
dc.identifier.uri
http://hdl.handle.net/11336/21503
dc.description.abstract
The aim of this work is to investigate the exploitation of radiometric acquisitions from satellite sensors at different microwave frequencies in view of the prediction of river water level. A case study has been identified in the Bermejo basin, in northern Argentina. This river is seasonally affected by severe flooding events in the lower part, mostly due to rains occurring in the upper basin, that produce sediment loadings flushing down along the lower basin thus changing the watercourse. While the effectiveness of microwave radiometry at Ka band for flood moni- toring is consolidated in the literature, this study also considers X and C bands (provided by the Advanced Microwave Scanning Radiometer (AMSR) series together with the higher frequency) and highlights the better sensitivity to soil conditions of L band data (made recently available, thanks to SMOS) over moderately and densely vegetated areas. This study confirms, first, the well-known capability of passive microwave remote sensing instruments to record brightness temperature variations due to rainfall and floods occurred near river edges under different seasonal conditions. For this purpose, a multifrequency comparative analysis is conducted. Second, it investigates whether these properties can be exploited for flood forecasting: a model which directly links the daily satellite measurements to the river water level has been tested, considering 1- to 7-day forecast horizons. The results show that forecasting models can take advantage of the sensitivity of low frequencies to soil moisture conditions in order to predict flood peaks, despite the instrument?s low resolutions.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Flodd
dc.subject
Microwave
dc.subject
Hydrology
dc.subject.classification
Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
River Water Level Prediction Using Passive Microwave Signatures. A Case Study: The Bermejo Basin
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-07-26T18:15:27Z
dc.journal.volume
7
dc.journal.number
9
dc.journal.pagination
3903-3914
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Nueva York
dc.description.fil
Fil: Vittucci, Cristina. Universita Tor Vergata. Centro Interdipartimentale Vito Volterra; Italia
dc.description.fil
Fil: Guerriero, Lelia. Universita Tor Vergata. Centro Interdipartimentale Vito Volterra; Italia
dc.description.fil
Fil: Ferrazzoli, Paolo. Universita Tor Vergata. Centro Interdipartimentale Vito Volterra; Italia
dc.description.fil
Fil: Rahmoune, Rashid. Universita Tor Vergata. Centro Interdipartimentale Vito Volterra; Italia
dc.description.fil
Fil: Barraza Bernadas, Verónica Daniela. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Grings, Francisco Matias. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.journal.title
Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/JSTARS.2014.2321457
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6819414/
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