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Integration of MODIS and Radar Altimetry Data for River Discharge Estimation from Space

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Engineering Geology for Society and Territory - Volume 3

Abstract

The study integrates data provided by Moderate Resolution Imaging Spectroradiometer, MODIS, onboard AQUA satellite and by RA-2 altimeter onboard ERS-2 and ENVISAT satellites for river discharge estimation along the Po River (northern Italy). The discharge is estimated by multiplying the velocity estimated from MODIS by the flow area computed considering the water level derived by altimetry data. In the case of river cross-section survey not available, the entropy theory may be applied for reconstructing the bathymetry starting from the water surface elevation observed or retrieved by the altimeter. The discharge estimation is validated using in-situ measurements of the nearest hydrometric station where daily observations are available for the period from February 2005 to August 2010. The agreement with the observed discharge is fairly satisfactory with coefficient of correlation equal to 0.91 and root mean square error of 37 % against observed discharge. The results suggest that the proposed methodology has potential applications from the forthcoming SENTINEL-3 mission, in which two similar sensors will be onboard the same satellite platform and where significant improvements will be obtained in terms of vertical accuracy and spatial and temporal resolution.

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References

  • Bercher N, Kosuth P (2012) Monitoring river water levels from space: quality assessment of 20 years of satellite altimetry data. Paper presented at 20 years of progress in radar altimetry’ conference, Venice, 24–29 Sept 2012

    Google Scholar 

  • Birkinshaw SJ, O’Donnell GM, Moore P, Kilsby CG, Fowler HJ, Berry PAM (2010) Using satellite altimetry data to augment flow estimation techniques on the Mekong River. Hydrol Process 24:3811–3825

    Article  Google Scholar 

  • Brakenridge GR, Anderson E (2006) In proceedings of the NATO on transboundary floods: reducing risk through flood management. In: Marsalek J, Stancalie G, Balint G (ed) MODIS-based flood detection, mapping and measurement: the potential for operational hydrological applications, vol 72, pp 1–12

    Google Scholar 

  • Brakenridge GR, Nghiem SV, Anderson E, Mic R (2007) Orbital microwave measurement of river discharge and ice status. Water Resour Res 43:W04405

    Article  Google Scholar 

  • Frappart F, Calmant S, Cauhope M, Seyler F, Cazenave A (2006) Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin. Remote Sens Environ 100:252–264

    Article  Google Scholar 

  • Koblinsky CJ, Clarke RT, Brenner AC, Frey H (1993) Measurement of river level variations with satellite altimetry. Water Resour Res 29:1839–1848

    Article  Google Scholar 

  • Moramarco T, Saltalippi C, Singh VJ (2011) Velocity profiles assessment in natural channels during high floods. Hydrol Res 42(2–3):162–170

    Article  Google Scholar 

  • Moramarco T, Corato G, Melone F, Singh VP (2013) An entropy-based method for determining the flow depth distribution in natural channels. J Hydrol 497:176–188

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models, part I: a discussion of principles. J Hydrol 10(3):282–290

    Article  Google Scholar 

  • Santos da Silva J, Calmant S, Seyler F, Rotunno Filho OC, Cochonneau G, Mansur WJ (2010) Water levels in the Amazon basin derived from the ERS 2 and ENVISAT radar altimetry missions. Remote Sens Environ 114:2160–2181

    Google Scholar 

  • Tarpanelli A, Brocca L, Melone F, Moramarco T, Lacava T, Faruolo M, Pergola N, Tramutoli V (2013) Toward the estimation of river discharge variations using MODIS data in ungauged basins. Remote Sens Environ 136:47–55

    Article  Google Scholar 

  • Tourian MJ, Sneeuw N, Bardossy A (2013) A quantile function approach to discharge estimation from satellite altimetry (ENVISAT). Water Resour Res 49(7):4174–4186

    Article  Google Scholar 

  • Wagner W, Lemoine G, Rott H (1999) A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens Environ 70:191–207

    Article  Google Scholar 

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Correspondence to A. Tarpanelli .

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Tarpanelli, A., Brocca, L., Barbetta, S., Lacava, T., Faruolo, M., Moramarco, T. (2015). Integration of MODIS and Radar Altimetry Data for River Discharge Estimation from Space. In: Lollino, G., Arattano, M., Rinaldi, M., Giustolisi, O., Marechal, JC., Grant, G. (eds) Engineering Geology for Society and Territory - Volume 3. Springer, Cham. https://doi.org/10.1007/978-3-319-09054-2_121

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