Soil moisture retrieval from multi-instrument observations: Information content analysis and retrieval methodology

Journal of Geophysical Research Atmospheres

Volumn 118, Issue 10, 2013, Pages 4847-4859

  Kolassa, J ^a   Aires, F ^a,b   Polcher, J ^b   Prigent, C ^b   Jimenez, C ^b   Pereira, J M ^c  

^a Estellus SAS ^*  (France)

^b CNRS   (France)

^c INSTITUTO SUPERIOR DE AGRONOMIA   (Portugal)

Author keywords

neural networks; retrieval; satellite observations; soil moisture; surface hydrology

Indexed keywords

ATMOSPHERIC TEMPERATURE; DATA FUSION; NEURAL NETWORKS; SOIL MOISTURE; SOIL SURVEYS; UNCERTAINTY ANALYSIS;

INFORMATION CONTENT ANALYSIS; INNOVATIVE APPROACHES; RETRIEVAL; RETRIEVAL UNCERTAINTY; SATELLITE OBSERVATIONS; SOIL MOISTURE RETRIEVALS; SPATIAL AND TEMPORAL SCALE; SURFACE HYDROLOGY;

ALGORITHMS;

ALGORITHM; INFORMATION SYSTEM; METHODOLOGY; SATELLITE DATA; SOIL MOISTURE; SURFACE TEMPERATURE;

EID: 84880883759     PISSN: None     EISSN: 21698996     Source Type: Journal    
DOI: 10.1029/2012JD018150     Document Type: Article

References (31)

1. Aires, F., C. Prigent, and, W. B. Rossow, (2004), Temporal interpolation of global surface skin temperature diurnal cycle over land under clear and cloudy conditions, J. Geophys. Res, 109, D04313, doi:10.1029/2003JD003527.
2. Aires, F., O. Aznay, C. Prigent, M. Paul, and, F. Bernardo, (2012), Synergistic multi-wavelength remote sensing versus a posteriori combination of retrieved products: Application for the retrieval of atmospheric profiles using MetOp-A, J. Geophys. Res., 117, D18304, doi:10.1029/2011JD017188.
3. Armstrong, R. L., and, M. J. Brodzik, (2005), Northern Hemisphere EASEGrid Weekly Snow Cover and Sea Ice Extent Version 3, National Snow and Ice Data Center, Boulder, Colorado.
4. Balsamo, G., P. Viterbo, A. Beljaars, B. van den Hurk, M. Hirschi, A. Betts, and, l. K. Scipa, (2009), A revised hydrology for the ECMWF model: Verification from Field site to terrestrial water storage and impact in the integrated forecast system, J. Hydrol., 10, 623-643.
5. Balsamo, G., S. Boussetta, P. Lopez, and, L. Ferranti, (2010), Evaluation of ERA-Interim and ERA-Interim-GPCP-rescaled precipitation over the U.S.A., ERA-Report Series, 5, pp. 10.
6. Bishop, C. M., (1995), Neural Networks for Pattern Recognition, Oxford University Press, chapter 4.
7. Cybenko, G. V., (1989), Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals and Systems, 2, 303-314.
8. Dorigo, W. A., et al. (2011), The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements, Hydrol. Earth Syst. Sci., 15, 1675-1698.
9. Efroymson, M. A., (1960), Multiple regression analysis, Mathematical Methods for Digital Computers, edited by the, A. Ralston, and, H.S. Wilf, pp. 191-204, Wiley.
10. Entekhabi, D., et al. (2010), The Soil Moisture Active Passive (SMAP) Mission, Proceedings of the IEEE, 98 (5), 704-716.
11. Francis, R., et al. (1991), The ERS-1 spacecraft and its payload, ESA Bull., 65, 2748.
12. Gutman, G. G., (1999), On the use of long-term global data of land reflectances and vegetation indices from the advanced very high resolution radiometer, J. Geophys. Res., 104, 6241-6255.
13. Horn, B. K. P., and, R. J. Woodham, (1979), Destriping LANDSAT MSS images using histogram modification, Computer Graphics and Image Processing, 10, 1, 6983.
14. Jimenez, C., C. Prigent, and, F. Aires, (2009), Toward an estimation of global land surface heat fluxes from multisatellite observations, J. Geophys. Res., 114, D06305, doi: 10.1029/2008JD011392.
15. Kerr, Y. H., et al. (2010), The SMOS Mission: New tool for monitoring key elements of the global water cycle, Proceedings of the IEEE, 98 (5), 666-687.
16. Liu, Y. Y., R. M. Parinussa, W. A. Dorigo, R. A. M. De Jeu, W. Wagner, A. I. J. M. van Dijk, M. F. McCabe, and, J. P. Evans, (2011), Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals, Hydrol. Earth Syst. Sci., 15, 425-436.
17. Njoku, E. G., T. J. Jackson, and, V. Lakshmi, (2003), Soil moisture retrieval from AMSR-E, IEEE Trans. On Geoscience and Remote Sensing, 41, 215-229.
18. Owe, M., R. deJeu, and, J. Walker, (2001), A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index, IEEE Transactions on Geoscience and Remote Sensing, 39, 1643-1654.
19. Owe, M., R. de Jeu, and, T. Holmes, (2008), multisensor historical climatology of satellite-derived global land surface moisture, J. Geophys. Res., 113, F01002, doi:10.1029/2007JF000769.
20. Prigent, C., F. Papa, F. Aires, W. B. Rossow, and, E. Matthews, (2007), Global inundation dynamics inferred from multiple satellite observations, 1993-2000, J. Geophys. Res., 112, D12107, doi: 10.1029/2006JD007847.
21. Prigent, C., F. Aires, W. B. Rossow, and, A. Robock, (2005), Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements, J. Geophys. Res., 110, D07110, doi: 10.1029/2004JD005087.
22. Prigent, C., W. B. Rossow, and, E. Matthews, (1997), Microwave land surface emissivities estimated from SSM/I observations, J. Geophys. Res., 102, 21,867-21,890.
23. Rochester, N., J. H. Holland, L. H. Habit, and, W. L. Duda, (1956), Tests on a cell assembly theory of the action of the brain, using a large digital computer, IRE Transactions on Information Theory, 2 (3), 8093, doi: 10.1109/TIT.1956.1056810.
24. de Rosnay, P., J. Polcher, M. Bruen, and, K. Laval, (2002), Impact of a physically based soil water flow and soil-plant interaction representation for modeling large-scale land surface processes, J. Geophys. Res., 107 (D11), 4118, 10.1029/2001JD000634.
25. Rossow, W. B., and, R. A. Schiffer, (1999), Advances in understanding clouds from ISCCP, Bulletin American Meteorological Society, 80, 2261-2287.
26. Rumelhart, D. E., and, Y. Chauvin, (1995), Backpropagation: Theory, Architectures, and Applications, Lawrence Erlbaum Associates.
27. Schmugge, T. J., T. J. Jackson, and, H. L. McKim, (1980), Survey of methods for soil moisture determination, Water Resources Research, 16 (6), 961-979.
28. Schmugge, T. J., P. E. O'Neill, and, J. R. Wang, (1986), Passive microwave soil moisture research, IEEE Transactions on Geoscience and Remote Sensing, GE-24 (1).
29. Vinnikov, K. Y., A. Robock, S. Qiu, J. K. Entin, M. Owe, B. J. Choudhury, S. E. Hollinger, and, E. G. Njoku, (1999), Satellite remote sensing of soil moisture in Illinois, United States, J. Geophys. Res., 104 (D4), 4145-4168.
30. Wagner, W., (1998), Soil moisture retrieval from ERS scatterometer data, Institute for Photogrammetry and Remote Sensing, Vienna University of Technology.
31. Weedon, G. P., S. Gomes, P. Viterbo, W. J. Shuttleworth, E. Blyth, H. Österle, J. C. Adam, N. Bellouin, O. Boucher, and, M. Best, (2011), Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century, J. Hydrometeorology, 12 (5), 823-848.