Remote sensing for vadose zone hydrology-a synthesis from the vantage point

Vadose Zone Journal

Volumn 12, Issue 3, 2013, Pages

  Mohanty, Binayak P ^a   Cosh, Michael ^b   Lakshmi, Venkat ^c   Montzka, Carsten ^d  

^a TEXAS A AND M UNIVERSITY   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c UNIVERSITY OF SOUTH CAROLINA   (United States)

^d FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL WATER MANAGEMENT; CALIBRATION AND VALIDATIONS; DATA ASSIMILATION TECHNIQUES; LAND-ATMOSPHERE INTERACTIONS; SATELLITE RETRIEVAL ALGORITHMS; SOIL HYDRAULIC PARAMETERS; SPACEBORNE REMOTE SENSING; TEMPORAL AND SPATIAL VARIABILITY;

CATCHMENTS; ESTIMATION; EVAPOTRANSPIRATION; GROUNDWATER; MECHANICAL PROPERTIES; MICROWAVE SENSORS; RUNOFF; SOIL MOISTURE; SPACE OPTICS; SURFACE MEASUREMENT; TRANSPIRATION; WATER MANAGEMENT; WATER SUPPLY;

REMOTE SENSING;

ESTIMATION METHOD; EVAPOTRANSPIRATION; GROUNDWATER FLOW; RECHARGE; REMOTE SENSING; SOIL MOISTURE; SPATIAL DISTRIBUTION; VADOSE ZONE; WATER MANAGEMENT;

EID: 84881576100     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2013.07.0128     Document Type: Article

References (41)

1. Adams, J.R., A.A. Berg, and H. McNairn. 2013. Field level soil moisture variability at 6-and 3-cm sampling depths: Implications for microwave sensor validation. Vadose Zone J. 12. doi:10.2136/vzj2012.0070 (this issue).
2. 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. 133:380-394. doi:10.1061/(ASCE)0733-9437(2007)133:4(380)
3. 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. doi:10.1016/S0022-1694(98)00253-4
4. 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 131:85-93.
5. Bolten, J., V. Lakshmi, and E. Njoku. 2003. A passive-active retrieval of soil moisture for the Southern Great Plains 1999 Experiment. IEEE Trans. Geosci. Rem. Sens. 41:2792-2801.
6. Bramer, L.M., B.K. Hornbuckle, and P.C. Caragea. 2013. How many measurements of soil moisture within the footprint of a ground-based microwave radiometer are required to account for meter-scale spatial variability? Vadose Zone J. 12. doi:10.2136/vzj2012.0100 (this issue).
7. Brocca, L., A. Tarpanelli, T. Moramarco, F. Melone, S.M. Ratto, M. Cauduro, S. Ferraris, N. Berni, F. Ponziani, W. Wagner, and T. Melzer. 2013. Soil moisture estimation in alpine catchments through modeling and satellite observations. Vadose Zone J. 12. doi:10.2136/vzj2012.0102 (this issue).
8. Chaouch, N., R. Leconte, R. Magagi, M. Temimi, and R. Khanbilvardi. 2013. Multi-stage inversion method to retrieve soil moisture from passive microwave measurements over the Mackenzie River basin. Vadose Zone J. 12. doi:10.2136/vzj2012.0134 (this issue).
9. Choudhury, B., T. Schmugge, R. Newton, and A. Chang. 1979. Effect of surface roughness on the microwave emission from soils. J. Geophys. Res. 84:5699-5706. doi:10.1029/JC084iC09p05699
10. Dorigo, W.A., W. Wagner, R. Hohensinn, S. Hahn, C. Paulik, A. Xaver, A. Gruber, M. Drusch, S. Mecklenburg, P. van Oevelen, A. Robock, and T. Jackson. 2011. The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements. Hydrol. Earth Syst. Sci. 15:1675-1698. doi:10.5194/hess-15-1675-2011
11. Dorigo, W.A., A. Xaver, M. Vreugdenhil, A. Gruber, A. Hegyiová, A.D. Sanchis-Dufau, D. Zamojski, C. Cordes, W. Wagner, and M. Drusch. 2013. Global automated quality control of in situ soil moisture data from the International Soil Moisture Network.
12. Vadose Zone J., this issue. Fang, B., V. Lakshmi, R. Bindlish, T.J. Jackson, M. Cosh, and J. Basara. 2013. Passive microwave soil moisture downscaling using vegetation index and skin surface temperature. Vadose Zone J. 12. doi:10.2136/vzj2013.05.0089 (this issue).
13. Gowda, P.H., T.A. Howell, G. Paul, P.D. Colaizzi, T.H. Marek, B. Su, and K.S. Copeland. 2013. Deriving hourly evapotranspiration rates with SEBS: A lysimetric evaluation. Vadose Zone J. 12. doi:10.2136/vzj2012.0110 (this issue).
14. Han, X., H.-J. Hendricks Franssen, X. Li, Y. Zhang, C. Montzka, and H. Vereecken. 2013. Joint assimilation of surface temperature and L-band microwave brightness temperature in land data assimilation. Vadose Zone J. 12. doi:10.2136/vzj2012.0072 (this issue).
15. Jackson, T.J., and D.E. Le Vine. 1996. Mapping surface soil moisture using an aircraft-based passive microwave instrument: Algorithm and example. J. Hydrol. 184:85-99. doi:10.1016/0022-1694(95)02969-9
16. Joshi, C., and B.P. Mohanty. 2010. Physical controls of near-surface soil moisture across varying spatial scales in an agricultural landscape during SMEX02. Water Resour. Res. 46. doi:10.1029/2010WR009152
17. Joshi, C., B.P. Mohanty, J. Jacobs, and A.V.M. Ines. 2011. Spatiotemporal analyses of soil moisture from point to footprint scale in two different hydroclimatic regions. Water Resour. Res. 47. doi:10.1029/2009WR009002
18. Kerr, Y., 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. Rem. Sens. 39:1729-1736. doi:10.1109/36.942551
19. Mo, T., B.J. Choudhury, T.J. Schmugge, J.R. Wang, and T.J. Jackson. 1982. A model for microwave emission from vegetation-covered fields. J. Geophys. Res. 87(C13):11229-11237.
20. Mohanty, B.P., T.H. Skaggs, and J.S. Famiglietti. 2000. Analysis and mapping of field-scale soil moisture variability using high resolution ground-based data during the Southern Great Plains 1997 (SGP97) hydrology experiment. Water Resour. Res. 36:1023-1031. doi:10.1029/1999WR900360
21. Montzka, C., J.P. Grant, H. Moradkhani, H.-J. Hendricks Franssen, L. Weihermüller, M. Drusch, and H. Vereecken. 2013. Estimation of radiative transfer parameters from L-band passive microwave brightness temperatures using advanced data assimilation. Vadose Zone J. 12. doi:10.2136/vzj2012.0040 (this issue).
22. Narayan, U., V. Lakshmi, and E. Njoku. 2004. Retreival of soil moisture from passive and active L/S Band (PALS) observations during soil moisture experiment in 2002 (SMEX2002). Remote Sens. Environ. 92(4):483-496. doi:10.1016/j.rse.2004.05.018.
23. Njoku, E., and D. Entekhabi. 1996. Passive remote sensing of soil moisture. J. Hydrol. 184:101-129. doi:10.1016/0022-1694(95)02970-2
24. Njoku, E., W. Wilson, S. Yueh, S. Dinardo, F. Li, T. Jackson, V. Lakshmi, and J. Bolten. 2002. Observations of soil moisture using a passive and active low frequency microwave airborne sensor during SGP99. IEEE Trans. Geosci. Rem. Sens. 40:2659-2673. doi:10.1109/TGRS.2002.807008
25. Norman, J.M., W.P. Kustas, and K.S. Humes. 1995. A two-source approach for estimating soil and vegetation energy fluxes from observations of directional radiometric surface temperature. Agric. For. Meteorol. 77:263-293. doi:10.1016/0168-1923(95)02265-Y
26. National Research Council. 1991. Opportunities in hydrologic sciences. National Academy Press, Washington, DC.
27. O'Neill, P., N. Chauhan, and T. Jackson. 1996. Use of active and passive microwave remote sensing for soil moisture estimation through corn. Int. J. Remote Sens. 17:1851-1865. doi:10.1080/01431169608948743
28. Roerink, G.J., B. Su, and M. Menenti. 2000. S-SEBI-A simple remote sensing algorithm to estimate the surface energy balance. Physics Climate Earth J. B 25:147-157. doi:10.1016/S1464-1909(99)00128-8
29. Schmugge, T., T. Jackson, W. Kustas, and J. Wang. 1992. Passive microwave remote sensing of soil moisture: Results from HAPEX, FIFE, and Monsoon' 90. ISPRS J. Photogramm. Remote Sens. 47:127-143. doi:10.1016/0924-2716(92)90029-9
30. Schmugge, T., W. Kustas, J. Ritchie, T. Jackson, and A. Rango. 2002. Remote sensing in hydrology. Adv. Water Resour. 25:1367-1385. doi:10.1016/ S0309-1708(02)00065-9
31. 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/vzj2012.0094 (this issue).
32. Sridhar, V., W.T.A. Jaksa, B. Fang, V. Lakshmi, K.G. Hubbard, and X. Jin. 2013. Evaluating bias-corrected AMSR-E soil moisture using in situ observations and model estimates. Vadose Zone J. 12. doi:10.2136/vzj2013.05.0093 (this issue).
33. Su, Z. 2002. The surface energy balance system (SEBS) for estimation of turbulent fluxes. Hydrol. Earth Syst. Sci. 6:85-99. doi:10.5194/hess-6-85-2002
34. te Brake, B., R.F. Hanssen, M.J. van der Ploeg, and G.H. de Rooij. 2013. Satellite-based radar interferometry to estimate large-scale soil water depletion from clay shrinkage: possibilities and limitations. Vadose Zone J. 12. doi:10.2136/vzj2012.0098 (this issue).
35. Teluguntla, P., D. Ryu, B. George, and J.P. Walker. 2013. Multidecadal trend of basin-scale evapotranspiration estimated using AVHRR data in the Krishna River Basin, India. Vadose Zone J. 12. doi:10.2136/vzj2012.0118 (this issue).
36. Ulaby, F., P. Dubois, and J. Van Zyl. 1996. Radar mapping of surface soil moisture. J. Hydrol. 184:57-84. doi:10.1016/0022-1694(95)02968-0
37. Ulaby, F., R. Moore, and A. Fung. 1986. Microwave remote sensing: Active and passive, vol. III-Volume scattering and emission theory: Advanced systems and applications. Artech House, Dedham, MA.
38. Ulaby, F., M. Razani, and C. Myron. 1983. Effect of vegetation cover on the microwave radiometric sensitivity to soil moisture. IEEE Trans. Geosci. Rem. Sens. GE-21:51-61. doi:10.1109/TGRS.1983.350530
39. Wagner, W., G. Lemoine, and H. Rott. 1999. A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sens. Environ. 70:191-207. doi:10.1016/S0034-4257(99)00036-X
40. Wang, J., and T. Schmugge. 1980. An empirical model for the complex dielectric permittivity of soils as a function of water content. IEEE Trans. Geosci. Rem. Sens. GE-18:288-295. doi:10.1109/TGRS.1980.350304
41. Zhang, H., and D. Wang. 2013. Management of postharvest deficit irrigation of peach trees using infrared canopy temperature. Vadose Zone J. 12. doi:10.2136/vzj2012.0093 (this issue).