Multi-sensor Space Observation of Heavy Flood and Drought Conditions in the Amazon Region

  • Florian SeitzEmail author
  • Karin Hedman
  • Franz J. Meyer
  • Hyongki Lee
Conference paper
Part of the International Association of Geodesy Symposia book series (IAG SYMPOSIA, volume 139)


Variations of continental water storage and related changes of water surface extensions are being observed by a variety of contemporary geometrical and gravimetrical space observation systems and in-situ measuring instruments. Within a regional multi-sensor study in the Amazon basin we elaborate on the potential of different systems for the quantification of variations of water mass and water surface extent caused by extreme flood and drought situations during 2002–2010. In particular we focus on a rapid change between a widespread flood and a drought situation in the year 2009. Observations of water mass from satellite gravimetry (GRACE), water stage from satellite altimetry (Envisat) and water extent from L-band radar remote sensing (PALSAR) are very consistent with respect to their spatial and temporal variability. On the basis of our findings we provide an outlook on the applicability of measurements of water levels and surface water extent for an independent assessment of water volume changes. Those might be used for a cross-comparison with estimates of water storage from GRACE.


Multi-sensor analysis Extreme events GRACE SAR Satellite altimetry 


  1. Alsdorf D, Rodriguez E, Lettenmaier D (2007) Measuring surface water from space. Rev Geophys 45:RG2002. doi:10.1029/2006RG000197CrossRefGoogle Scholar
  2. Arndt D, Baringer M, Johnson M (eds) (2010) State of the climate in 2009. Bull Am Meteorol Soc 91(6):1–224Google Scholar
  3. Flechtner F (2007) Gravity recovery and climate experiment AOD1B product description document for product releases 01 to 04. Tech. Rep. GRACE327-750, Rev. 3.1, GFZ Potsdam, GermanyGoogle Scholar
  4. Flechtner F, Dahle C, Neumayer KH et al (2010) The release 04 CHAMP and GRACE EIGEN gravity field models. In: Flechtner F et al (eds) System Earth via geodetic-geophysical space techniques. Springer, Berlin, pp 41–58. doi:978-3-642-10228-8Google Scholar
  5. Frappart F, Calmant S, Cauhopé M et al (2006) Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin. Rem Sens Environ 100:252–264. doi:10.1016/j.rse.2005.10.027CrossRefGoogle Scholar
  6. Hess L, Melack J, Novo E et al (2003) Dual-season mapping of wetland inundation and vegetation for the central Amazon basin. Rem Sens Environ 87:404–428. doi:10.1016/j.rse.2003.04.001CrossRefGoogle Scholar
  7. IPCC (2007) Climate change 2007: synthesis report. In: Pachauri RK, Reisinger A (eds) Intergovernmental Panel on Climate Change, Geneva, SwitzerlandGoogle Scholar
  8. Kusche J, Schmidt R, Petrovic S, Rietbroek R (2009) Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model. J Geodes 83:903–913. doi:10.1007/s00190-009-0308-3CrossRefGoogle Scholar
  9. Lee H, Shum C, Emery W et al (2010) Validation of Jason-2 altimeter data by waveform retracking over California coastal ocean. Mar Geodes 33:304–316CrossRefGoogle Scholar
  10. Martinez J, Le Toan T (2007) Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data. Rem Sens Environ 108:209–223. doi:10.1016/j.rse.2006.11.012CrossRefGoogle Scholar
  11. Mason D, Speck R, Devereux B et al (2010) Flood detection in urban areas using TerraSAR-X. IEEE Trans Geosci Rem Sens 48:882–894CrossRefGoogle Scholar
  12. Niedermeier A, Romaneessen E, Lehner S (2000) Detection of coastlines in SAR images using wavelet methods. IEEE Trans Geosci Rem Sens 38:2270–2281CrossRefGoogle Scholar
  13. Omura M, Shimada M (2010) L-band SAR monitoring river conditions of the Shimanto river, Shikoku, Japan. Trans Jpn Soc Aeronaut Space Sci 8:Tn5–Tn9Google Scholar
  14. Ramillien G, Famiglietti J, Wahr J (2008) Detection of continental hydrology and glaciology signals from GRACE: a review. Surv Geophys 29(4–5):361–374. doi:10.1007/s10712-008-9048-9CrossRefGoogle Scholar
  15. Schmidt M, Seitz F, Shum C (2008) Regional four-dimensional hydrological mass variations from GRACE, atmospheric flux convergence, and river gauge data. J Geophys Res 113:B10402. doi:10.1029/2008JB005575CrossRefGoogle Scholar
  16. Seitz F, Schmidt M, Shum C (2008) Signals of extreme weather conditions in Central Europe in GRACE 4-D hydrological mass variations. Earth Planet Sci Lett 268(1–2):165–170. doi:10.1016/j.epsl.2008.01.001CrossRefGoogle Scholar
  17. Shein K (ed) (2006) State of the climate in 2005. Bull Am Meteorol Soc 87(6):1–102Google Scholar
  18. Swenson S, Wahr J (2006) Post-processing removal of correlated errors in GRACE data. Geophys Res Lett 33:L08402. doi:10.1029/2005GL025285Google Scholar
  19. Swenson S, Wahr J (2007) Multi-sensor analysis of water storage variations of the Caspian Sea. Geophys Res Lett 34:L16401. doi:10.1029/2007GL030733CrossRefGoogle Scholar
  20. Tapley B, Bettadpur S, Ries J et al (2004) GRACE measurements of mass variability in the Earth system. Science 305:503–505. doi:10.1126/science.1099192CrossRefGoogle Scholar
  21. Wahr J, Molenaar M, Bryan F (1998) Time variability of the Earth’s gravity field: hydrological and oceanic effects and their possible detection using GRACE. J Geophys Res 103(B12):30205–30229. doi:10.1029/98JB02844CrossRefGoogle Scholar
  22. Wahr J, Swenson S, Velicogna I (2006) Accuracy of GRACE mass estimates. Geophys Res Lett 33:L06401. doi:10.1029/2005GL025305CrossRefGoogle Scholar
  23. Zwenzner H, Voigt S (2009) Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data. Hydrol Earth Syst Sci 13:567–576. doi:10.5194/hess-13-567-2009CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Florian Seitz
    • 1
    Email author
  • Karin Hedman
    • 1
  • Franz J. Meyer
    • 2
  • Hyongki Lee
    • 3
  1. 1.Earth Oriented Space Science and Technology (ESPACE)MunichGermany
  2. 2.Earth and Planetary Remote SensingUniversity of AlaskaAKUSA
  3. 3.Department of Civil and Environmental EngineeringUniversity of HoustonTXUSA

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