Coupling MODIS and Radar Altimetry Data for Discharge Estimation in Poorly Gauged River Basins

The capability of coupling measurements of river velocity derived from Moderate Resolution Imaging Spectroradiometer (MODIS) and water levels derived from ENVISAT Advanced Radar Altimeter (RA-2) for river discharge estimation is thoroughly investigated. The method is applied even considering the possible unavailability of the river cross-section survey by using the entropy theory for reconstructing the bathymetry. The discharge estimation accuracy is validated using in situ measurements along the Po River (Northern Italy) where daily observations are available for the period 2005-2010. The agreement with the observed discharge is fairly satisfactory with coefficient of correlation of 0.91 and relative root-mean-square error (RMSE) of 37 on average. Therefore, the coupling of the two sensors provides, with a good level of accuracy, the hydraulic quantities to use for discharge estimation. These results are particularly significant for the forthcoming European Space Agency Sentinel-3 mission, in which a visible-near infrared multispectral sensor and an altimeter will be onboard the same satellite platform providing significant improvements in terms of vertical accuracy and spatial-temporal resolution.

[1]  G. Brakenridge,et al.  Orbital microwave measurement of river discharge and ice status , 2007 .

[2]  Frédérique Seyler,et al.  Rating curves and estimation of average water depth at the upper Negro River based on satellite altimeter data and modeled discharges , 2006 .

[3]  Paul D. Bates SWOT: The Surface Water and Ocean Topography Mission: Wide-Swath Altimetric Measurement of Water Elevation on Earth , 2012 .

[4]  Pascal Kosuth,et al.  Monitoring River Water Levels from Space: Quality Assessment of 20 Years of Satellite Altimetry Data , 2013 .

[5]  Nico Sneeuw,et al.  A quantile function approach to discharge estimation from satellite altimetry (ENVISAT) , 2013 .

[6]  Michael Durand,et al.  Estimating River Depth From Remote Sensing Swath Interferometry Measurements of River Height, Slope, and Width , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[7]  Luca Brocca,et al.  River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling , 2013, Remote. Sens..

[8]  Russell G. Congalton,et al.  Evaluating the potential for measuring river discharge from space , 2003 .

[9]  D. Lettenmaier,et al.  Measuring surface water from space , 2004 .

[10]  Chris Kilsby,et al.  Using satellite altimetry data to augment flow estimation techniques on the Mekong River , 2010 .

[11]  Luca Brocca,et al.  Toward the estimation of river discharge variations using MODIS data in ungauged basins , 2013 .

[12]  C. Albergel,et al.  From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations , 2008 .

[13]  Robin T. Clarke,et al.  Measurement of river level variations with satellite altimetry , 1993 .

[14]  C. Birkett,et al.  Contribution of the TOPEX NASA Radar Altimeter to the global monitoring of large rivers and wetlands , 1998 .

[15]  Robert Leconte,et al.  Flood and soil wetness monitoring over the Mackenzie River Basin using AMSR-E 37 GHz brightness temperature , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[16]  Chao-Lin Chiu VELOCITY DISTRIBUTION IN OPEN CHANNEL FLOW , 1989 .

[17]  W. Wagner,et al.  A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data , 1999 .

[18]  Peter Bauer-Gottwein,et al.  Assimilation of radar altimetry to a routing model of the Brahmaputra River , 2013 .

[19]  Marouane Temimi,et al.  Sea-ice monitoring over the Caspian Sea using geostationary satellite data , 2011 .

[20]  A. Cazenave,et al.  Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin , 2006 .

[21]  Yeosang Yoon,et al.  Improving Temporal Coverage of the SWOT Mission Using Spatiotemporal Kriging , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[22]  E. Anderson,et al.  MODIS-BASED FLOOD DETECTION, MAPPING AND MEASUREMENT: THE POTENTIAL FOR OPERATIONAL HYDROLOGICAL APPLICATIONS , 2006 .

[23]  Frédérique Seyler,et al.  Amazon River discharge estimated from TOPEX/Poseidon altimetry , 2006 .

[24]  Aaron Boone,et al.  Automatic parameterization of a flow routing scheme driven by radar altimetry data: Evaluation in the Amazon basin , 2013 .

[25]  S. Calmant,et al.  Water levels in the Amazon basin derived from the ERS 2 and ENVISAT radar altimetry missions , 2010 .

[26]  Vijay P. Singh,et al.  An entropy-based method for determining the flow depth distribution in natural channels , 2013 .

[27]  Emmanuel Roux,et al.  Hydrological monitoring of poorly gauged basins based on rainfall–runoff modeling and spatial altimetry , 2009 .

[28]  Yang Hong,et al.  Microwave Satellite Data for Hydrologic Modeling in Ungauged Basins , 2012, IEEE Geoscience and Remote Sensing Letters.

[29]  Gérard Cochonneau,et al.  Temporal variations of river basin waters from Topex/Poseidon satellite altimetry. Application to the Amazon basin , 2001 .

[30]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[31]  A. Ammari,et al.  Estimation of Algerian rivers discharges based one Chiu's equation , 2010 .

[32]  Vijay P. Singh,et al.  Estimation of Mean Velocity in Natural Channels Based on Chiu's Velocity Distribution Equation , 2004 .

[33]  Vijay P. Singh,et al.  Velocity profiles assessment in natural channels during high floods , 2011 .

[34]  T. Pavelsky,et al.  Estimation of river discharge, propagation speed, and hydraulic geometry from space: Lena River, Siberia , 2008 .

[35]  Michael Durand,et al.  Preliminary Characterization of SWOT Hydrology Error Budget and Global Capabilities , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.