scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Altese, E., Bolognani, O., Mancini, M., and Troch, P. A.: Retrieving soil moisture over bare soil from ERS-1 synthetic aperture radar data: Sensitivity analysis based on a theoretical surface scattering model and field data, Water Resour. Res., 32, 653-661, 1996.
Álvarez-Mozos, J., Casali, J., Gonzalez-Audicana, M., and Verhoest, N. E. C.: Correlation between ground measured soil moisture and RADARSAT-1 derived backscattering coefficient over an agricultural catchment of Navarre (north of Spain), Biosys. Eng., 92, 119-133, 2005. (Pubitemid 41161153)
Álvarez-Mozos, J., Casali, J., Gonzalez-Audicana, M., and Verhoest, N. E. C.: Assessment of the operational applicability of RADARSAT-1 data for surface soil moisture estimation, IEEE T. Geosci. Remote Sens., 913-924, 2006.
Álvarez-Mozos, J., Verhoest, N. E. C., Larrañaga, A., Casalí, J., and González-Audícana, M.: Influence of surface roughness spatial variability and temporal dynamics on the retrieval of soil moisture from SAR observations, Sensors, 9, 463-489, doi:10.3390/s90100463, 2009.
Baudrit, C., Dubois, D., and Guyonnet, D.: Joint propagation and exploitation of probabilistic and possibilistic information in risk assessment, IEEE T. Fuzzy Syst., 14, 593-608, 2006. (Pubitemid 44604876)
Baudrit, C., Guyonnet, D., and Dubois, D.: Joint propagation of variability and imprecision in assessing the risk of groundwater contamination, J. Contam. Hydrol., 93, 72-84, 2007. (Pubitemid 47088019)
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology, Hydrological Sciences Bulletin, 24, 43-69, 1979. (Pubitemid 9451768)
Brent, R.: Algorithms for Minimization without Derivatives, Prentice-Hall, Englewood Cliffs, New Jersey, 1973.
Brocca, L., Melone, F., Moramarco, T., and Singh, V. P.: Assimilation of observed soil moisture data in storm rainfall-runoff modeling, J. Hydrol. Eng., 14, 153-165, 2009.
Callens, M., Verhoest, N. E. C., and Davidson, M. W. J.: Parameterization of tillage induced single scale soil roughness from 4-m profiles, IEEE T. Geosci. Remote Sens., 44, 878-888, 2006.
Crow, W. T. and Ryu, D.: A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals, Hydrol. Earth Syst. Sci., 13, 1-16, doi:10.5194/hess- 13-1-2009, 2009.
Davidson, M.W. J., Le Toan, T., Mattia, F., Satalino, G., Manninen, T., and Borgeaud, M.: On the characterization of agricultural soil roughness for radar remote sensing studies, IEEE T. Geosci. Remote Sens., 38, 630-640, 2000. (Pubitemid 30594765)
De Baets, B. and De Meyer, H.: Transitivity-preserving fuzzification schemes for cardinality-based similarity measures, Eur. J. Oper. Res., 160, 726-740, 2005.
De Baets, B., Janssens, S., and De Meyer, H.: On the transitivity of a parametric family of cardinality-based similarity measures, Int. J. Approx. Reason., 50, 104-116, 2009.
De Lannoy, G. J. M., Houser, P. R., Pauwels, V. R. N., and Verhoest, N. E. C.: State and bias estimation for soil moisture profiles by an Ensemble Kalman filter, Water Resour. Res., 43, W06401, doi:10.1029/2006WR005100, 2007a. (Pubitemid 47124424)
De Lannoy, G. J. M., Reichle, R. H., Houser, P. R., Pauwels, V. R. N., and Verhoest, N. E. C.: Correcting for forecast bias in soil moisture assimilation with the Ensemble Kalman filter, Water Resour. Res., 43, W09410, doi:10.1029/2006WR005449, 2007b. (Pubitemid 350058445)
Dobson, M. C., Ulaby, F. T., Hallikainen, M. T., and El-Rayes, M. A.: Microwave dielectric behavior of wet soil, part II: Dielectric mixing models, IEEE T. Geosci. Remote Sens., 23, 35-46, 1985.
Famiglietti, J. S. and Wood, E. F.: Multiscale modeling of spatially variable water and energy balance processes,Water Resour. Res., 30, 3061-3078, 1994. (Pubitemid 293013)
Famiglietti, J., Ryu, D., Berg, A. A., Rodell, M., and Jackson, T. J.: Field observations of soil moisture variability across scales, Water Resour. Res., 44, W01423, doi:10.1029/2006WR005804, 2008. (Pubitemid 351304148)
Forsythe, G. E., Malcolm, M. A., and Moler, C. B.: Computer Methods for Mathematical Computations, Prentice-Hall, Englewood Cliffs, New Jersey, 1976.
Fung, A. K.: Microwave Scattering and Emission Models and their Applications, Artech House, Norwood, MA, 1994.
Gibbs, A. L. and Su, F. E.: On choosing and bounding probability metrics, Int. Stat. Rev., 70, 419-435, 2002.
Guyonnet, D., Bourgine, B., Dubois, D., Fargier, H., Côme, B., and Chilès, J. P.: Hybrid approach for addressing uncertainty in risk assessments, J. Environ. Eng., 129, 68-78, doi:10.1061/(ASCE)0733-9372(2003)129: 1(68), 2003. (Pubitemid 36101406)
Hoeben, R. and Troch, P. A.: Assimilation of active microwave observation data for soil moisture profile estimation, Water Resour. Res., 36, 2805-2819, 2000.
Hupet, F. and Vanclooster, M.: Intraseasonal dynamics of soil moisture variability within a small agricultural maize cropped field, J. Hydrol., 261, 86-101, 2002. (Pubitemid 34290127)
Ivanov, V. Y., Fatichi, S., Jenerette, G. D., Espeleta, J. F., Troch, P. A., and Huxman, T. E.: Hysteresis of soil moisture spatial heterogeneity and the "homogenizing" effect of vegetation, Water Resour. Res., 46, W09521, doi:10.1029/2009WR008611, 2010.
Krishnapuram, R. and Keller, J. M.: A possibilistic approach to clustering, IEEE T. Fuzzy Syst., 1, 98-110, 1993.
Kruskal, W. H. and Wallis, W. A.: Use of ranks in one-criterion analysis of variance, J. Am. Stat. Assoc., 47, 583-621, 1952.
Lievens, H., Vernieuwe, H., Álvarez-Mozos, J., De Baets, B., and Verhoest, N. E. C.: Error in radar-derived soil moisture due to roughness parameterization: an analysis based on synthetical surface profiles, Sensors, 9, 1067-1093, doi:10.3390/s90201067, 2009.
Mallants, D., Jacques, D., Vanclooster, M., Diels, J., and Feyen, J.: A stochastic approach to simulate water flow in macroporous soil, Geoderma, 70, 299-324, 1996. (Pubitemid 126652072)
Mancini, M., Hoeben, R., and Troch, P. A.: Multifrequency radar observations of bare surface soil moisture content: A laboratory experiment, Water Resour. Res., 35, 1827-1838, 1999. (Pubitemid 29243297)
Mattia, F., Davidson, M.W. J., Le Toan, T., D'Haese, C. M. F., Verhoest, N. E. C., Gatti, A. M., and Borgeaud, M.: A comparison between soil roughness statistics used in surface scattering models derived from mechanical and laser profilers, IEEE T. Geosci. Remote Sens., 41, 1659-1671, 2003.
Merlin, O., Chechbouni, A., Boulet, G., and Kerr, Y.: Assimilation of disaggregated microwave soil moisture into a hydrologic model using coarse-scale meteorological data, J. Hydrometeorol., 7, 1308-1322, 2006. (Pubitemid 46111238)
Minet, J., Laloy, E., Lambot, S., and Vanclooster, M.: Effect of high-resolution spatial soil moisture variability on simulated runoff response using a distributed hydrologic model, Hydrol. Earth Syst. Sci., 15, 1323-1338, doi:10.5194/hess-15-1323- 2011, 2011a.
Minet, J., Wahyudi, A., Bogaert, P., Vanclooster, M., and Lambot, S.: Mapping shallow soil moisture profiles at the field scale using full-waveform inversion of ground penetrating radar data, Geoderma, 161, 225-237, 2011b.
Nguyen, H. T.: A note on the extension principle for fuzzy sets, J. Math. Anal. Appl., 64, 369-380, 1978.
Nyberg, L.: Spatial variability of soil water content in the covered catchment at Gårdsjön, Sweden, Hydrol. Process., 10, 80-103, 1996.
Oh, Y. and Kay, Y. C.: Condition for precise measurement of soil surface roughness, IEEE T. Geosci. Remote Sens., 36, 691-695, 1998.
Pauwels, V. R. N., Hoeben, R., Verhoest, N. E. C., and De Troch, F. P.: The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation, J. Hydrol., 251, 88-102, 2001. (Pubitemid 32731524)
Penna, D., Borga, M., Norbiato, D., and Fontana, G.: Hillslope scale soil moisture variability in a steep alpine terrain, J. Hydrol., 364, 311-327, 2009.
Ryu, D. and Famiglietti, J. S.: Characterization of footprintscale surface soil moisture variability using Gaussian and beta distribution functions during the Southern Great Plains 1997 (SGP97) hydrology experiment, Water Resour. Res., 41, W12433, doi:10.1029/2004WR003835, 2005. (Pubitemid 43153738)
Salvucci, G.: Limiting relations between soil moisture and soil texture with implication for measured, modeled and remotely sensed estimates, Geophys. Res. Lett., 25, 1757-1760, 1998. (Pubitemid 28429835)
Teuling, A. J. and Troch, P. A.: Improved understanding of soil moisture variability dynamics, Geophys. Res. Lett., 32, L05404, doi:10.1029/2004GL021935, 2005. (Pubitemid 40815090)
Teuling, A. J., Hupet, F., Uilenhoet, R., and Troch, P. A.: Climate variability effects on spatial soil moisture dynamics, Geophys. Res. Lett., 34, l06406, doi:10.1029/2006GL029080, 2007. (Pubitemid 46865309)
Vereecken, H., Kamai, T., Harter, T., Kasteel, R., Hopmans, J., and Vanderborgth, J.: Explaining soil moisture variability as a function of mean soil moisture: A stochastic un- saturated flow perspective, Geophys. Res. Lett., 34, l22402, doi:10.1029/2007Gl031813, 2007. (Pubitemid 351222802)
Verhoest, N. E. C., De Baets, B., Mattia, F., Satalino, G., Lucau, C., and Defourny, P.: A possibilistic approach to soil moisture retrieval from ERS synthetic aperture radar backscattering under soil roughness uncertainty, Water Resour. Res., 43, W07435, doi:10.1029/2006WR005295, 2007. (Pubitemid 350194487)
Verhoest, N. E. C., Lievens, H., Wagner, W., Álvarez-Mozos, J., Moran, M. S., and Mattia, F.: On the soil roughness parameterization problem in soil moisture retrieval of bare surfaces from synthetic aperture radar, Sensors, 8, 4213-4248, doi:10.3390/s8074213, 2008.
Vernieuwe, H., Verhoest, N. E. C., Lievens, H., and De Baets, B.: Possibilistic soil roughness identification for uncertainty reduction on SAR-retrieved soil moisture, IEEE T. Geosci. Remote Sens., 49, 628-638, doi:10.1109/TGRS.2010.2058577, 2011.
Western, A.W. and Blöschl, G.: On the spatial scaling of soil moisture, J. Hydrol., 217, 203-224, 1999. (Pubitemid 29207814)
Western, A.W., Grayson, R. B., Blöschl, G., andWilson, D. J.: Spatial Variability of Soil Moisture and its Implications for Scaling, chap. 8, 119-142, CRC PRESS, 2003.
Wilson, D. J., Western, A. W., Grayson, R. B., Berg, A. A., Lear, M. S., Rodell, M., Famiglietti, J. S., Woods, R. A., and McMahon, T. A.: Spatial distribution of soil mositure over 6 and 30 cm depth, Mahurangi river catchment, New Zealand, J. Hydrol., 276, 254-274, 2003. (Pubitemid 36695697)
Witten, I. H. and Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques With Java Implementations, Morgan Kaufmann Publishers, San Francisco, 2005.
Zadeh, L.: The concept of a linguistic variable and its application to approximate reasoning, part i, Inform. Sciences, 8, 199-249, 1975.
Zar, J. H.: Biostatistical Analysis, Prentice-Hall Inc., New Jersey, USA., 1999.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.