An Assessment of a Ka-Band Radar Interferometer Mission Accuracy Over Eurasian Rivers

The Water Elevation Recovery satellite mission is dedicated to the determination of land surface water extent, elevation, and slope using a Ka-band radar interferometer (KaRIn) as its primary instrument. Determining these parameters to the accuracy desired for hydrologic applications is challenging. The scientific objectives of the mission have been set up to 10 cm for the height budget and 10 murad (1 cm/1 km) for the slope budget. In this paper, we implement a Virtual Mission simulation and use it to examine the measurement performances for three case studies in Europe: a relatively small river such as the Meuse in Northern Western Europe, the Lena river in Russia, one of the major Siberian rivers, and Lake Leman in Western Europe. We simulate KaRIn data with the associated instrument and geophysical error sources and implement ground processing techniques to go from the original raw data to science data. We examine the impact of external errors in detail and implement calibration techniques that rely on the use of ancillary topographic data, such as the Shuttle Radar Topography Mission digital elevation model (DEM). We find that the impact of external errors can be reduced to a few centimeters. The random error budget can also be reduced below 10 cm by means of appropriate processing. The scientific requirements of the mission are shown to be met for all cases.

[1]  Bertrand Chapron,et al.  Ocean Wave Slope Observations Using Radar Backscatter and Laser Altimeters , 2004 .

[2]  P. D. Batesa,et al.  A simple raster-based model for flood inundation simulation , 2000 .

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

[4]  Dennis P. Lettenmaier,et al.  The need for global, satellite‐based observations of terrestrial surface waters , 2003 .

[5]  E. Rodríguez,et al.  A Global Assessment of the SRTM Performance , 2006 .

[6]  D. Alsdorf Water Storage of the Central Amazon Floodplain Measured with GIS and Remote Sensing Imagery , 2003 .

[7]  C. Birkett,et al.  The contribution of TOPEX/POSEIDON to the global monitoring of climatically sensitive lakes , 1995 .

[8]  Julius Goldhirsh,et al.  A Tutorial Assessment of Atmospheric Height Uncertainties for High-Precision Satellite Altimeter Missions to Monitor Ocean Currents , 1980, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Geodetic sensitivity to surface meteorological data: 24-h and 6-h observing sessions , 2005 .

[10]  T. Akins,et al.  The wide swath ocean altimeter: radar interferometry for global ocean mapping with centimetric accuracy , 2002, Proceedings, IEEE Aerospace Conference.

[11]  T. Grube,et al.  World Water Resources at the Beginning of the 21st Century , 2003 .

[12]  A. Roth,et al.  The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar , 2003 .

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

[14]  Ernesto Rodríguez,et al.  Using Altimetry Waveform Data and Ancillary Information From SRTM, Landsat, and MODIS to Retrieve River Characteristics , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Anny Cazenave,et al.  Interannual lake level fluctuations (1993–1999) in Africa from Topex/Poseidon: connections with ocean–atmosphere interactions over the Indian Ocean , 2002 .

[16]  Fabio Rocca,et al.  The wavenumber shift in SAR interferometry , 1994, IEEE Trans. Geosci. Remote. Sens..

[17]  Richard Bamler,et al.  Phase statistics and decorrelation in SAR interferograms , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[18]  G. Brown The average impulse response of a rough surface and its applications , 1977 .

[19]  K. Beven,et al.  Development of a European flood forecasting system , 2003 .

[20]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[21]  F. Ulaby,et al.  Handbook of radar scattering statistics for terrain , 1989 .

[22]  Dennis P. Lettenmaier,et al.  Tracking Fresh Water from Space , 2003, Science.

[23]  Carlos R. Mechoso,et al.  Water level fluctuations in the Plata Basin (South America) from Topex/Poseidon Satellite Altimetry , 2002 .

[24]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[25]  Michiel Otten,et al.  Routine operational and high-precision orbit determination of envisat , 2002 .

[26]  Jean-Claude Souyris,et al.  Performances Study of Interferometric Radar Altimeters: from the Instrument to the Global Mission Definition , 2006, Sensors (Basel, Switzerland).

[27]  Marcos Heil Costa,et al.  Surface water dynamics in the Amazon Basin: Application of satellite radar altimetry , 2001 .

[28]  Paris W. Vachon,et al.  Coherence estimation for SAR imagery , 1999, IEEE Trans. Geosci. Remote. Sens..

[29]  Anny Cazenave,et al.  Ob' river discharge from TOPEX/Poseidon satellite altimetry (1992–2002) , 2004 .

[30]  P. Gleick Global Freshwater Resources: Soft-Path Solutions for the 21st Century , 2003, Science.

[31]  E. Rodríguez,et al.  Theory and design of interferometric synthetic aperture radars , 1992 .

[32]  S. Hensley,et al.  SRTM C-band topographic data: quality assessments and calibration activities , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[33]  Ridha Touzi,et al.  Statistics of the Stokes parameters and of the complex coherence parameters in one-look and multilook speckle fields , 1996, IEEE Trans. Geosci. Remote. Sens..

[34]  Allen R. Miller,et al.  Statistics of phase difference and product magnitude of multi-look processed Gaussian signals , 1994 .

[35]  Laurent Rey,et al.  AltiKa: a Ka-band Altimetry Payload and System for Operational Altimetry during the GMES Period , 2006, Sensors (Basel, Switzerland).

[36]  Jong-Sen Lee,et al.  Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery , 1994, IEEE Trans. Geosci. Remote. Sens..

[37]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[38]  C. L. Archer,et al.  Evaluation of global wind power , 2005 .