The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
1368
mittels ERS-1/2 InSAR Zeitreihen. Dissertation at Vienna
University of Technology, 212 pp.
Koster, R.D., Lettenmaier, D.P., McLaughlin, D.B.,
Shuttleworth, W.J., van Genuchten, M.T., Wei, M., and Wood
E.F., 1999. An Agenda for Land- Surface Hydrology Research
and a call for the Second International Hydrological Decade, B.
Am. Meteor., 80, pp. 2043-2058.
Njoku, E.G., Jackson, T.J., Lakshmi, V., Chan, T., and Nghiem,
S.V., 2003, Soil moisture retrieval from AMSRE. IEEE
Transactions on Geoscience and Remote Sensing, 41 (2), pp.
215-229.
Parajka, J., Naeimi, V., Bloeschl, G., Wagner W., Merz, R. and
Scipal, K., 2006. Assimilating scatterometer soil moisture data
into conceptual hydrologic models at the regional scale.
Hydrology and Earth System Science, 10, pp. 353-368.
Pellarin, T., Calvet, J.-C., and Wagner, W., 2006. Evaluation of
ERS scatterometer soil moisture products over a half-degree
region in southwestern France, Geophysical Research Letters,
33, LI7401, doi: 10.1029/2006GL027231.
Robock, A., Vinnikov, K.Y., Srinivasan, G., Entin, J.K.,
Hollinger, S.E., Speranskaya, N.A., Liu, S. and Namkhai, A.,
2000. The Global Soil Moisture Data Bank. Bull. Amer.
Meteorol. Soc., 81, pp. 1281-1299.
Scheffler, C., Wagner, W., Scipal, K. and Trommler, M., 2003.
Früherekennung und Beobachtung von Hochwasser anhand von
ERS Scatterometer Daten am Beispiel der Einzugsgebiete
Limpopo und Sambesi im Zeitraum von 1992 bis 2000.
Symposium für Angewandte Geographische Informations
verarbeitung AGIT 2003, Salzburg, Österreich, 2.-4. July 2003,
Strobl/Blaschke/Griesebner (Hrsg.), Herbert Wichmann Verlag,
Heidelberg, pp. 420-424.
Scipal, K:, Scheffler, C. and Wagner, W., 2005. Soil moisture-
runoff relation at the catchment scale as observed with coarse
resolution microwave remote sensing. Hydrology and Earth
System Sciences, 9, pp. 173-183.
Scipal, K., 2002. Globale Beobachtung von Bodenfeuchte mit
dem ERS Scatterometer, PhD thesis at the Institute of
Photogrammetry and Remote Sensing, Vienna University of
Technology, Austria, 128 pp.
Vachaud, G., Passerat de Silans, A., Balabanis, P., and Vauclin
M., 1985, Temporal stability of spatially soil water probability
density functions, Soil Sci. So., 45, pp. 1040-1048.
Vinnikov, K.Y., Robock, A., Qiu, S., Entin, J.K., Owe, M.,
Choudhsury, B.J., Hollinger, S.E., and Njoku E.G., 1999.
Satellite remote sensing of soil moisture in Illinois, United
States, J. Geo. Res-A., 105, pp. 4145-4168.
Wagner, W., Bloschl, G., Pampaloni, P., Calvet, J.-C., Bizzarri,
B., Wigneron, J.-P. and Kerr, Y., 2007a. Operational readiness
of microwave remote sensing of soil moisture for hydrologic
applications. Nordic Hydrology, 28, pp. 1-12.
Wagner, W., Naeimi, V, Scipal, K., De Jeu, R., and Martiinez-
Femandez, J., 2007b. Soil moisture from operational
meteorological satellites, Hydrogeology Journal, 15, pp. 121-
131.
Wagner, W., Lemoine, G., and Rott, H., 1999. A Method for
Estimating Soil Moisture from ERS Scatterometer and Soil
Data, Remot. Sen. E., 70, pp. 191-207.
Wagner, W., Scipal, K. and Pather, C., 2003. Evaluation of the
agreement between the first global remotely sensed soil
moisture data with mode and precipitation data. Journal of
Geophysical Research, 108 (D19), 4611, doi: 10.1029/
2003JD003663
Zhao, D., Su, B., and Zhao, M., 2006. Soil Moisture retrieval
from Satellite Images and its Application to Heavy Rainfall
Simulation in Eastern China. Advances in Atmospheric Sciences,
23 (2), pp. 299-316.