In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B
180
Dobson, M. C., Ulaby, F. T., Hallikainen, M. T. and El-Rayes,
M. A., 1985. Microwave dielectric behavior of wet soil. Part II:
Dielectric mixing models. IEEE Transactions on Geoscience
and Remote Sensing 23, pp. 35^16.
Evensen, G., 2006. Data Assimilation: the Ensemble Kalman
Filter. Springer-Verlag, New York.
Fung, A. K., 1994. Microwave Scattering and Emission Models
and their Applications. Artech House, Norwood, MA.
Fung, A. K., Li, Z. Q. and Chen, K. S., 1992. Backscattering
from a randomly rough dielectric surface. IEEE Transactions
on Geoscience and Remote Sensing 30, pp. 356-369.
Lievens, H., Verhoest, N. E. C., De Keyser, E., Vemieuwe, H.,
Matgen, R, Âlvarez-Mozos, J. and De Baets, B., 2010. Effec
tive roughness modelling as a tool for soil moisture retrieval
from C- and L-band SAR. Hydrology and Earth System Sci
ences. Submitted 06/10.
Lilliefors, H. W., 1967. On the Kolmogorov-Smimov test for
normality with mean and variance unknown. Journal of the
American Statistical Association 62, pp. 399^402.
Mattia, F., Davidson, M. W. J., Le Toan, T., D’Haese, C. M. F.,
Verhoest, N. E. C., Gatti, A. M. and Borgeaud, M., 2003a. A
comparison between soil roughness statistics used in surface
scattering models derived from mechanical and laser profil
ers. IEEE Transactions on Geoscience and Remote Sensing
41, pp. 1659-1671.
Mattia, F., Le Toan, T., Picard, G., Posa, F. L, DÂlessio, A.,
Notamicola, C., Gatti, A. M., Rinaldi, M., Satalino, G. and
Pasquariello, G., 2003b. Multitemporal C-band radar measure
ments on wheat fields. IEEE Transactions on Geoscience and
Remote Sensing 41, pp. 1551-1558.
Moran, M. S., Peters-Lidard, C. D., Watts, J. M. and McElroy,
S., 2004. Estimating soil moisture at the watershed scale with
satellite-based radar and land surface models. Canadian Jour
nal of Remote Sensing 30, pp. 805-826.
Nash, J. E. and Sutcliffe, J. V, 1970. River flow forecasting
through conceptual models part I - A discussion of principles.
Journal of Hydrology 10, pp. 282-290.
Neter, J., Kutner, M. H., Wasserman, W. and Nachtsheim,
C. J., 1996. Applied Linear Statistical Models. Fourth edn,
McGraw-Hill/Irwin, Boston.
Ogilvy, J. A., 1988. Computer simulation of acoustic wave scat
tering from rough surfaces. Journal of Physics D-Applied
Physics 21, pp. 260-277.
Oh, Y. and Kay, Y. C., 1998. Condition for precise measurement
of soil surface roughness. IEEE Transactions on Geoscience
and Remote Sensing 36, pp. 691-695.
Prévôt, L., Champion, I. and Guyot, G., 1993. Estimation surface
soil moisture and leaf area index of a wheat canopy using a
dual-frequency (C and X bands) scatterometer. Remote Sens
ing of Environment 46, pp. 331-339.
Rahman, M. M., Moran, M. S., Thoma, D. P, Bryant, R., Sano,
E. E., Holifield Collins, C. D., Skirvin, S., Kershner, C. and
Orr, B. J., 2007. A derivation of roughness correlation length
for parameterizing radar backscatter models. International
Journal of Remote Sensing 28, pp. 3995-4012.
Reichle, R. H., 2008. Data assimilation methods in the earth
sciences. Advances in Water Resources 31, pp. 1411-1418.
Shepard, M. K., Campbell, B. A., Bulmer, M. H., Farr, T. G.,
Gaddis, L. R. and Plaut, J. J., 2001. The roughness of natural
terrain: a planetary and remote sensing perspective. Journal of
Geophysical Research - Planets 106, pp. 32777-32795.
Shephard, M. K. and Campbell, B. A., 1999. Radar scattering
from a self-affine fractal surface: near-nadir regime. Icarus
141, pp. 156-171.
Srivastava, S. K., Hawkins, R. K., Lubowski, T. I., Banik, B. T.,
Adamovic, M. and Jefferies, W. C., 1999. RADARSAT image
quality and calibration - Update. Advances in Space Research
23,pp. 1487-1496.
Su, Z., Troch, P. A. and De Troch, F. P, 1997. Remote sensing of
soil moisture using EMAC/ESAR data. International Journal
of Remote Sensing 18, pp. 2105-2124.
Ulaby, F. T., Aslam, A. and Dobson, M. C., 1982a. Effects of
vegetation cover on the radar sensitivity to soil moisture. IEEE
Transactions on Geoscience and Remote Sensing 20, pp. 476-
481.
Ulaby, F. T., Moore, R. K. and Fung, A. K., 1982b. Microwave
Remote Sensing: Active and Passive. Vol. II, Artech House,
Boston, MA.
Van Der Velde, R. and Su, Z., 2009. Dynamics in land-surface
conditions on the Tibetian Plateau observed by Advanced Syn
thetic Aperture Radar (ASAR). Hydrological Sciences Journal
54,pp. 1079-1093.
Verhoest, N. E. C., De Baets, B., Mattia, F., Satalino, G., Lu-
cau, C. and Defoumy, P, 2007. A possibilistic approach to soil
moisture retrieval from ERS synthetic aperture radar backscat
tering under soil roughness uncertainty. Water Resources Re
search. W07435, doi: 10.1029/2006WR005295.
Verhoest, N. E. C., Hoeben, R., De Troch, F. P. and Troch,
P. A., 2000. Soil moisture inversion from ERS and SIR-C im
agery at the Zwalm catchment, Belgium. In: Proceedings of
the International Geoscience and Remote Sensing Symposium
(IGARSS’00), Honolulu, Hawaii, pp. 2041-2043.