SEARCH

SEARCH BY CITATION

References

  • Allen, R. G., M.Tasumi, and R.Trezza (2007), Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC): Model, ASCE J. Irrig. Drain. Eng., 133(4), 380–394.
  • Bastiaanssen, W. G. M., M. Menenti, R. A. Feddes, and A. A. M.Holtslag, (1998), A remote sensing surface energy balance algorithm for land (SEBAL). I. Formulation, J. Hydrol., 212–213, 198–212.
  • Bastiaanssen, W. G. M., E. J. M.Noordman, H.Pelgrum, G.Davids, B. P.Thoreson, and R. G.Allen (2005), SEBAL model with remotely sensed data to improve water-resources management under actual field criterion, J. Irrig. Drain. Eng. ASCE., 131(1), 8593.
  • Boulet, G., I.Braud, and M.Vauclin (1997), Study of the mechanisms of evaporation under arid conditions using a detailed model of the soil-atmosphere continuum: Applications to the EFEDA I experiment, J. Hydrol., 193, 114141.
  • Chauhan, N., S.Miller, and P.Ardanuy (2003), Spaceborne soil moisture estimation at high resolution: A microwave-optical/IR synergistic approach, Int. J. Remote Sens., 24(22), 45994622.
  • Crow, W. T., E. F.Wood, and R.Dubayah (2000), Potential for downscaling soil moisture maps derived from space borne imaging radar data, J. Geophys. Res., 105, 22032212.
  • Das, N. N., B. P.Mohanty, and E. G.Njoku (2008), Characterization of backscatter by surface features in L-band active microwave remote sensing of soil moisture, IEEE Trans. Geosci. Remote Sens., 2, 817820, doi:10.1109/IGARSS.2008.4779119.
  • Das, N. N., D.Entekhabi, and E.Njoku (2011), An algorithm for merging SMAP radiometer and radar data for high resolution soil moisture retrieval, IEEE Trans. Geosci. Remote Sens., 49(5), 15041512, doi:10.1109/TGRS.2010.2089526.
  • Droogers, P., W. G. M.Bastiaanssen, M.Beyazgül, Y.Kayam, G. W.Kite, and H.Murray-Rust (2000), Distributed agro-hydrological modeling of an irrigation system in western Turkey, Agric. Water Manage., 43(2), 183202, doi:10.1016/S0378-3774 (99)00055–4.
  • Efron, B. (1982), The Jackknife, the Bootstrap and Other Resampling Plans, Soc. for Ind. and Appl. Math., Philadelphia, Pa.
  • Engman, T. (1991), Application of microwave remote sensing of soil moisture for water resources and agriculture, Remote Sens. Environ., 35, 213226.
  • Entekhabi, D., G. R.Asrar, A. K.Betts, K. J.Beven, R. L.Bras, and C. J.Duffy (1999), An agenda for land surface hydrology research and a call for the second international hydrological decade, Bull. Am. Meteorol. Soc., 80(10), 20432058.
  • Entekhabi, D., et al. (2010), The soil moisture active passive (SMAP) mission, Proc. IEEE, 98(5), 704716.
  • Ferreira, M. E., L. G.Ferreira, E. E.Sano, and Y. E.Shimabukuro (2007), Spectral linear mixture modeling approaches for land cover mapping of tropical savanna areas in Brazil, Int. J. Remote Sens., 28(2), 413429, doi:10.1080/01431160500181507.
  • Feddes, R. A., P. J.Kowalik, and H.Zarandy (1978), Simulation of Field Water Use and Crop Yield, John Wiley, New York.
  • Goldberg, D. E. (1989), Genetic Algorithms in Search and Optimization and Machine Learning, Addison-Wesley, New York.
  • Holben, B. N., and Y. E.Shimabukuro (1993), Linear mixing applied to coarse spatial resolution data from multispectral satellite sensors, Int. J. Remote Sens., 14, 22312240.
  • Holland, J. H. (1975), Adaptation in Natural and Artificial System, University of Michigan press, Ann Arbor, Mich.
  • Huxman, T., B. P.Wilcox, D. D.Breshears, R. L.Scott, K. A.Snyder, E. E.Small, K.Hultine, W. T.Pockman, and R. B.Jackson (2005), Ecohydrological implications of woody plant encroachment, Ecology, 86(2), 308319.
  • Ines, A. V. M., and P.Droogers (2002), Inverse modeling in estimating soil hydraulic functions: A genetic algorithm approach, Hydrol. Earth Syst. Sci., 6(1), 4965.
  • Ines, A. V. M., and K.Honda (2005), On quantifying agricultural and water management practices from low spatial resolution RS data using genetic algorithms: A numerical study for mixed-pixel environment, Adv. Water Resour., 28, 856870.
  • Ines, A. V. M., and B. P.Mohanty (2008a), Near-surface soil moisture assimilation to quantify effective soil hydraulic properties using genetic algorithm: I. Conceptual modeling, Water Resour. Res., 44, W06422, doi:10.1029/2007WR005990.
  • Ines, A. V. M., and B. P.Mohanty (2008b), Parameter conditioning with a noisy Monte Carlo genetic algorithm for estimating effective soil hydraulic properties from space, Water Resour. Res., 44, W08441, doi:10.1029/2007WR006125.
  • Ines, A. V. M., and B. P.Mohanty (2009), Near-surface soil moisture assimilation for quantifying effective soil hydraulic properties using genetic algorithms: II. Using airborne remote sensing dyring SGP97 and SMEX02, Water Resour. Res., 45, W01408, doi:10.1029/2008WR007022.
  • Ines, A. V. M., B. P.Mohanty, and Y.Shin (2013), An un-mixing algorithm for remotely sensed soil moisture, Water Resour. Res., 49, 408425, doi:10.1029/2012WR012379.
  • Jackson, T. J., D. M.LeVine, A. Y.Hsu, A.Oldak, and P. J.Starks (1999), Soil moisture mapping at regional scales using microwave radiometry: The southern Great Plains hydrology experiment, IEEE Trans. Geosci. Remote Sens., 37(5), 21362151.
  • Kerr, Y. H., P.Waldteufel, J. P.Wigneron, J. M.Martinuzzi, J.Font, and M.Berger (2001), Soil moisture retrieval from space: The soil moisture and ocean salinity (SMOS) mission, IEEE Trans. Geosci. Remote Sens., 39(8), 17291735.
  • Kim, G., and A. P.Barros (2002), Downscaling of remotely sensed soil moisture with a modified fractal interpolation method using contraction mapping and ancillary data, Remote Sens. Environ., 83, 400413.
  • Kroes, J. G., J. C.vanDam, J.Huygen, and R. W.Vervoort (1999), User's guide of SWAP version 2.0: Simulation of water, solute transport, and plant growth in the soil-atmosphere-plant environment, Rep. 81, DLO Winand Staring Cent., Wageningen, Netherlands.
  • Leij, F. J., W. J.Alves, M. T.vanGenuchten, and J. R.Williams (1999), The UNSODA unsaturated soil hydraulic database, in Proceeding of International Workshop on Characterization and Measurement of the Hydraulic Properties of Unsaturated Porous Media, edited by M. T.vanGenuchten and F. J.Leij, pp. 12691281, Univ. of Calif., Riverside.
  • Mascaro, G., E. R.Vivoni, and R.Deidda (2010), Downscaling soil moisture in the southern Great Plains through a calibrated multifractal model for land surface modeling applications, Water Resour. Res., 46, W08546, doi:10.1029/2009WR008855.
  • Merlin, O., G.Chehbouni, Y.Kerr, E. G.Njoku, and D.Entekhabi (2005), A combined modeling and multi-spectral/multi-resolution remote sensing approach for disaggregation of surface soil moisture: Application to SMOS configuration, IEEE Trans. Geosci. Remote Sens., 43(9), 20362050, doi:10.1109/tgrs.2005.853192.
  • Merlin, O., J.Walker, A.Chehbouni, and Y.Kerr (2008), Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency, Remote Sens. Environ., 112, 39353946, doi:10.1016/j.rse.2008.06.012.
  • Merlin, O., C.Rudiger, A.Al Bitar, J. P.Walker, and Y. H.Kerr (2012), Disaggregation of SMOS soil moisture in southeastern Australia, IEEE Trans. Geosci. Remote Sens., 50(5), 15561571.
  • Mohanty B. P., and T. H.Skaggs (2001), Spatio-temporal evolution and time-stable characteristics of soil moisture within remote sensing footprints with varying soil, slope, and vegetation, Adv. Water Resour., 24, 10511067.
  • Mohanty, B. P., P. J.Shouse, D. A.Miller, and M. T.vanGenuchten (2002), Soil property database: Southern Great plains 1997 hydrology experiment, Water Resour. Res., 38(5), 1047, doi:10.1029/2000WR000076.
  • Moran, M. S., S. J.Maas, and P. J.Pinter Jr. (1995), Combining remote sensing and modeling for estimating surface evaporation and biomass production, Remote Sens. Rev., 12, 335353.
  • Moulin, S., A.Bondeau, and R.Delécolle (1998), Combining agricultural crop models and satellite observations: From field to regional scales, Int. J. Remote Sens., 19(6), 10211036.
  • Mualem, Y. (1976), A new model for predicting the hydraulic conductivity of unsaturated porous media, Water Resour. Res., 12, 513522.
  • Njoku, E., and D.Entekkabi (1996), Passive microwave remote sensing of soil moisture, J. Hydrol., 184, 101129.
  • Njoku, E. G., T. L.Jackson, V.Lakshmi, T.Chan, and S. V.Nghiem (2003), Soil moisture retrieval from AMSR-E, IEEE Trans. Geosci. Remote Sens., 41, 215229.
  • Ottlé, C., and D.Vidal-Madjar (1994), Assimilation of soil moisture inferred from infrared remote sensing in a hydrological model over the HAPEX-MOBILHY region, J. Hydrol., 158, 241264.
  • Piles, M., et al. (2010), Soil moisture downscaling activities at the REMEDHUS Cal/Val site and its application to SMOS, IEEE 11th Special Meeting on Microwave Radiometry and Remote Sensing of the Environment, pp. 17–21, MicroRad, Washington, D. C., doi:10.1109/MICRORAD.2010.5559599.
  • Piles, M., A.Camps, M.Vall-llossera, I.Corbella, R.Panciera, C.Rüdiger, Y. H.Kerr, and J.Walker (2011), Downscaling SMOS-derived soil moisture using MODIS visible/infrared data, IEEE Trans. Geosci. Remote Sens., 49(9), 31563166.
  • Pollacco, J. A., and B. P.Mohanty (2012), Uncertainties of water fluxes in SVAT models: Inverting surface soil moisture and evapotranspiration retrieved from remote sensing, Special Section on Soil–Plant–Atmosphere Continuum, Vadose Zone J., 11, doi:10.2136/vzj2011.0167.
  • Roerink, G. J., Z.Su, and M.Menenti (2000), S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance, Phys. Chem. Earth, 25(2), 147157.
  • Sarwar, A., W. G. M.Bastiaanssen, M. T.Boers, and J. C.vanDam (2000), Evaluating drainage design parameters for the fourth drainage project, Pakistan by using SWAP model: I. Calibration, Irrig. Drain. Syst., 14(4), 257280, doi:10.1023/A:1006468905194.
  • Schaap, M. G., F. J.Leij, and M. T.vanGenuchten (1999), A bootstrap-neural network approach to predict soil hydraulic parameters, in Proceeding of International Workshop on Characterization and Measurement of the Hydraulic Properties of Unsaturated Porous Media, edited by M. T.vanGenuchten and F. J.Leij, pp. 12371250, Univ. of California, Riverside.
  • Shin, Y., B. P.Mohanty, and A. V. M.Ines (2012), Soil hydraulic properties in one-dimensional layered soil profile using layer-specific soil moisture assimilation scheme, Water Resour. Res., 48, W06529, doi:10.1029/2010WR009581.
  • Shin, Y., B. P.Mohanty, and A. V. M.Ines (2013), Estimating effective soil hydraulic properties using spatially distributed soil moisture and evapotranspiration products at multiple scales, Vadose Zone J., 12, doi:10.2136/vzj2012.0074.
  • Singh, R., R. K.Jhorar, J. C.vanDam, and R. A.Feddes (2006), Distributed ecohydrological modeling to evaluate irrigation system performance in Sirsa district, India: II. Impact of viable water management scenarios, J. Hydrol., 329, 714723, doi:10.1016/j.jhydrol.2006.03.016.
  • Su, Z. (2002), The surface energy balance system (SEBS) for estimation of turbulent heat fluxes, Hydro. Earth Sys. Sci., 6, 8599.
  • Supit, I., A. A.Hooyer, and C. A.vanDiepen (1994), System Description of the WOFOST 6.0 Crop Simulation Model Implemented in GCMS, Volume 1: Theory and Algorithms, Joint Res. Cent., Comm. of the Eur. Commun., Luxembourg.
  • Ulaby, F., P.Dubois, and J.vonZyl (1996), Radar mapping of surface soil moisture, J. Hydrol., 184, 5784.
  • vanDam, J. C. (2000), Field-scale water flow and solute transport: SWAP model concepts, parameter estimation, and case studies, PhD dissertation, Dep. of Soil Phys., Agric. Hydrol. and Groundwater, Wageningen Univ., Wageningen, Netherlands.
  • vanDam, J. C., J.Huygen, J. G.Wesseling, R. A.Feddes, P.Kabat, P. E. V.vanWaslum, P.Groenendjik, and C. A.vanDiepen (1997), Theory of SWAP version 2.0: Simulation of water flow and plant growth in the soil-water-atmosphere-plant environment, Tech. Doc. 45, DLO Winand Staring Cent., Wageningen, Netherlands.
  • vanGenuchten, M. T. (1980), A closed-form equation foe predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44(5), 892898.
  • vanKeulen, H., and D.Hillel (1974), A simulation study of the drying-front phenomenon, Soil Sci., 118, 270273.
  • Walker, J. P., G. R.Willgoose, and J. T.Kalma (2001), One-dimensional soil moisture profile retrieval by assimilation of near-surface observations: A comparison of retrieval methods, Adv. Water Resour., 24, 631–650, doi:10.1016/S0309–1708(00)00043–9.
  • Wesseling, J. G., and J. G.Kroes (1998), A global sensitivity analysis of the model SWAP, Rep. 160, DLO Winand Staring Cent., Wageningen, Netherlands.
  • Wösten, J. H. M., G. H.Veerman, and J.Stolte (1994), Water retention and hydraulic conductivity functions of top- and sub-soils in the Netherlands: The staring series, Tech. Doc. 18, DLO Winand Staring Cent., Wageningen, Netherlands.
  • Xevi, E., J.Gilley, and J.Jeyen (1996), Comparative study of two crop yield simulation models, Agric. Water Manage., 30, 155173.
  • Yamanaka, T., and T.Yonetani (1999), Dynamics of the evaporation zone in dry sandy soils, J. Hydrol., 217, 135148.