Soil Moisture Estimation and Drought Assessment at the Spatio-Temporal Scales using Remotely Sensed Data: (I) Soil Moisture
![]() |
Shin, Yongchul
(Department of Agricultural Civil Eng. Kyungpook National University)
Choi, Kyung-Sook (Department of Agricultural Civil Eng. Kyungpook National University) Jung, Younghun (Water Resources Research Center, K-water) Yang, Jae E. (Department of Biological Environment, Kangwon National University) Lim, Kyoung-Jae (Department of Regional Infrastructure Engineering, Kangwon National University) |
1 | Carroll, K. L. (2015). Genetic Algorithm, http://www.cuaerospace.com/carroll/ga.html. (Accessed 9 Nov. 2015). |
2 | Crow, W. T., Wood, E. F., and Dubayah, R. (2000). Potential for Downscaling Soil Moisture Maps Derived from Space Borne Imaging Radar Data, Journal of Geophysical Research, 105, pp. 2203-2212. DOI |
3 | Feddes, R. A., Kowalik, P. J., and Zarandy, H. (1978). Simulation of Field Water Use and Crop Yield, Simulation Monograph, PUDOC, Wageningen, Netherlands. |
4 | Ek, M., K. Mitchell, E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G., and Tarpley, J. D. (2003). Implementation of Noah Land Surface Model Advances in the National Centers for Environmental Prediction Operational Mesoscale Eta Model, Journal of Geophysical Research, 108(D22), 8851, doi:10.1029/2002JD003296. DOI |
5 | Engman, T. (1991). Application of Microwave Remote Sensing of Soil Moisture for Water Resources and Agriculture, Remote Sensing of Environment, 35, pp. 213-226. DOI |
6 | Entekhabi, D. G. R., Asrar, A. K., Betts, K. J., Beven, R., Bras, L., and Duffy, C. J. (1999). An Agenda for Land Surface Hydrology Research and a Call for the Second International Hydrological Decade, Bulletin of American Meteorological Society, 80(10), pp. 2043-2058. DOI |
7 | Ines, A. V. M. and Droogers, P. (2002). Inverse Modeling in Estimating Soil Hydraulic Functions; A Genetic Algorithm Approach, Hydrology and Earth System Sciences, 6(1), pp. 49-65. DOI |
8 | Ines, A. V. M. and Honada, K. (2005). On Quantifying Agricultural and Water Management Practices from Low Spatial Resolution RS Data using Genetic Algorithm: A Numerical Study for Mixed Pixel Environment, Advances in Water Resources, 28, pp. 856-790. DOI |
9 | Ines, A. V. M., Mohanty, B. P., and Shin, Y. (2013). An Un-Mixing Algorithm for Remotely Sensed Soil Moisture, Water Resources Research, 49, doi:10.1029/2012WR012379. DOI |
10 | Kerr, Y. H., Waldteufel, P., Wigneron, J. P., Martinuzzi, J. M., Font, J., and Berger, M. (2001). Soil Moisture Retrieval from Space: The Soil Moisture and Ocean Salinity (SMOS) Mission, Transactions on Geoscience and Remote Sensing, 39(8), pp. 1729-1735. DOI |
11 | Ministry of Land, Infrastructure and Transport (MOLIT). (2012). Hydrologic investigation report II-2. Soil moisture investigation in 2012, 11-1611000-002213-10, Ministry of Land, Infrastructure and Transport, pp. 21-268. [korean Literature] |
12 | Liang, X., Lettenmaier, D. P., Wood, E. F., and Burgs, S. J. (1994). A Simple Hydrologically Based Model of Land Surface Water, Energy Fluxes for General Circulation Models, Journal of Geophysical Research, 99(D7), pp. 14415-14428, doi:10.1029/94JD00483. DOI |
13 | Merlin, O., Chehbouni, G., Kerr, Y., Njoku, E. G., and Entekhabi, D. (2005). A Combined Modeling and Multi-Spectral/Multi-Resolution Remote Sensing Approach for Disaggregation of Surface Soil Moisture: Application to SMOS Configuration, Transactions on Geoscience and Remote Sensing, 43(9), pp. 2036-2050, doi:10.1109/tgrs.2005.853192. DOI |
14 | Merlin, O., Rudiger, C., Al Bitar, A., Walker, J. P., and Kerr, Y. H. (2012). Disaggregation of SMOS Soil Moisture in Southeastern Australia, Transactions on Geoscience and Remote Sensing, 50(5), pp. 1556-1571. DOI |
15 | Shin, Y. and Mohanty, B. P. (2013). Development of a Deterministic Downscaling Algorithm for Remote Sensing Soil Moisture Footprint Using Soil and Vegetation Classifications, Water Resources Research, 49, pp. 1-21, doi:10.1002/wrce.20495. DOI |
16 | Mualem, Y. (1976). A New Model for Predicting the Hydraulic Conductivity of Unsaturated Posours Media, Water Resources Research, 12, pp. 513-522. DOI |
17 | Oleson, K. W., Lawrence, D. M., Bonan, G. B., Flanner, M. G., Kluzek, E.,. Lawrence, P. J., Levis, S., Swenson, S. C., and Thornton, P. E. (2010). Technical Description of Version 4.0 of the Community Land Model (CLM), NCAR TECHNICAL NOTES (NCAR/TN-478+STR). |
18 | Scott, C. A., Bastiaanssen, W. G. M., and Ahmad, M. D. (2003). Mapping Root Zone Soil Moisture Using Remotely Sensed Optical Imagery, Journal of Irrigation and Drainage Engineering, 129(5), pp. 362-335. DOI |
19 | Shin, Y. and Mohanty, B. P. (2015). Soil Moisture Controls of Soil Carbon Sequestration in the Unsaturated Zone under Different Hydro-Climatic Conditions, in the revision to Water Resources Research. |
20 | Šimůnek, J (1991). Numerical Simulation of the Transport Processes in Soil, Vodohosp. Cas., 39, pp. 20-34 (in Czech). |
21 | Šim˚unek, J., Šejna, M., Saito, H., Sakai, M., and van Genuchten, M. T. (2013). The Hydrus-1D Software Package for Simulating the Movement of Water, Heat, and Multiple Solutes in Variably Saturated Media, Version 4.16, HYDRUS Software Series 3, Department of Environmental Sciences, University of California Riverside, Riverside, California, USA, pp. 340. |
22 | van Genuchten, M. T. (1980). A Closed-Form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils, Soil Science Society of America Journal, 44, pp. 892-898. DOI |
![]() |