Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloDaily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network
Anno di pubblicazione2019
Formato-
Autore/iTarpanelli, Angelica; Santi, Emanuele; Tourian, Mohammad J.; Filippucci, Paolo; Amarnath, Giriraj; Brocca, Luca
Affiliazioni autoriConsiglio Nazionale delle Ricerche; Consiglio Nazionale delle Ricerche; Universitat Stuttgart; Consiglio Nazionale delle Ricerche; International Water Management Institute (IWMI) Colombo
Autori CNR e affiliazioni
  • PAOLO FILIPPUCCI
  • EMANUELE SANTI
  • LUCA BROCCA
  • ANGELICA TARPANELLI
Lingua/e
  • inglese
AbstractThanks to the large number of satellites, the multimission approach is becoming a viable method to integrate measurements and intensify the number of samples in space and time for monitoring the earth system. In this paper, we merged data from different satellite missions, optical sensors, and altimetry, for estimating daily river discharge through the application of the artificial neural network (ANN) technique. ANN was selected among other retrieval techniques because it offers an easy but effective way of combining input data from different sources into the same retrieval algorithm. The network is trained in a calibration period and validated in an independent period against in situ observations of river discharge for two gauging sites: Lokoja along the Niger River and Pontelagoscuro along the Po River. For optical sensors, we found that the temporal resolution is more important than the spatial resolution for obtaining accurate discharge estimates. Our results show that Landsat fails in the estimation of extreme events by missing most of the peak values due to its long revisit time (14-16 days). Better performances are obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) and Medium Resolution Imaging Spectrometer. Radar altimetry provides results in between MODIS-TERRA and MODIS-AQUA at Lokoja, whereas it outperforms all single optical sensors at Pontelagoscuro. The multimission approach, involving optical sensors and altimetry, is found the most reliable tool to estimate river discharge with a relative root-mean-square error of 0.12% and 0.27% and Nash-Sutcliffe coefficient of 0.98 and 0.83 for the Niger and Po rivers, respectively.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da-
Pagine a-
Pagine totali-
RivistaIEEE transactions on geoscience and remote sensing
Attiva dal 1980
Editore: Institute of Electrical and Electronics Engineers, - New York, N.Y.
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0196-2892
Titolo chiave: IEEE transactions on geoscience and remote sensing
Titolo proprio: IEEE transactions on geoscience and remote sensing
Titolo abbreviato: IEEE trans. geosci. remote sens.
Titoli alternativi:
  • Institute of Electrical and Electronics Engineers transactions on geoscience and remote sensing
  • I.E.E.E. transactions on geoscience and remote sensing
  • Transactions on geoscience and remote sensing
Numero volume della rivista-
Fascicolo della rivista-
DOI10.1109/TGRS.2018.2854625
Verificato da refereeSì: Internazionale
Stato della pubblicazionePostprint
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85050965925)
Parole chiaveAltimetry, Discharges (electric), Optical sensors, Radar altimetry, remote sensing, Rivers, rivers., Satellites, Spatial resolution
Link (URL, URI)http://www.scopus.com/record/display.url?eid=2-s2.0-85050965925&origin=inward
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IFAC — Istituto di fisica applicata "Nello Carrara"
  • IRPI — Istituto di ricerca per la protezione idrogeologica
Moduli/Attività/Sottoprogetti CNR
  • DTA.AD003.164.001 : Studio e monitoraggio dei processi idrologici
Progetti Europei-
Allegati
Articolo (documento privato )
Tipo documento: application/pdf