Microwave remote sensing of soil moisture: Science and applications

Remote Sensing of Drought: Innovative Monitoring Approaches

Volumn , Issue , 2012, Pages 197-226

  Nghiem, Son V ^a   Wardlow, Brian D ^b   Allured, David ^c   Svoboda, Mark D ^b   LeComte, Doug ^d   Rosencrans, Matthew ^d   Chan, Steven K ^a   Neumann, Gregory ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85054461927     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b11863     Document Type: Chapter

References (76)

1. Blanchard, B.J. and A.T.C. Chang. 1983. Estimation of soil-moisture from SEASAT-SAR data. Water Resources Bulletin 19(5): 803-810.
2. Cognard, A.L., C. Loumagne, M. Normand, P. Olivier, C. Ottle, D. Vidalmadjar, S. Louahala, and A. Vidal. 1995. Evaluation of the ERS-1 synthetic aperture radar capacity to estimate surface soil-moisture-2-Year results over the Naizin watershed. Water Resources Research 31(4): 975-982.
3. Dobson, M.C., F.T. Ulaby, M.T. Hallikainen, and M.A. Elrayes. 1985. Microwave dielectric behavior of wet soil, Part II: Dielectric mixing models. IEEE Transactions on Geoscience and Remote Sensing GE-23(1): 35-46.
4. Dong, X., K. Xu, H. Liu, and J. Jiang. 2004. The radar altimeter and scatterometer of China’s HY-2 satellite. Proceedings of IEEE International Geoscience and Remote Sensing Symposium 3: 1703-1706.
5. Dubois, P., J.J. van Zyl, and T. Engman. 1995. Measuring soil moisture with imaging radars. IEEE Transactions on Geoscience and Remote Sensing 33(4): 916-926.
6. Engman, E.T. 1995. Recent advances in remote-sensing in hydrology. Reviews of Geophysics 33(Part 2, Supplement S): 967-975.
7. Entekhabi, D., E.G. Njoku, P.E. O’Neill, K.H. Kellogg, W.T. Crow, W.N. Edelstein, J.K. Entin, S.D. Goodman, T.J. Jackson, J. Johnson, J. Kimball, J.R. Piepmeier, R.D. Koster, N. Martin, K.C. McDonald, M. Moghaddam, S. Moran, R. Reichle, J.C. Shi, M.W. Spencer, S.W. Thurman, L. Tsang, Leung, and J.J. Van Zyl. 2010. The soil moisture active passive (SMAP) mission. Proceedings of the IEEE 98(5): 704-716.
8. González, J. and J.B. Valdés. 2004. The mean frequency of recurrence of in-time-multidimensional events for drought analyses. Natural Hazards and Earth System Science 4(1): 17-28.
9. van de Griend, A.A. and M. Owe. 1994. Microwave vegetation optical depth and inverse modelling of soil emissivity using Nimbus/SMMR satellite observations. Meteorology and Atmospheric Physics 54: 225-239.
10. Hallikainen, M.T., F.T. Ulaby, M.C. Dobson, M.A. El-Rayes, and L.-K. Wu. 1985. Microwave dielectric behavior of wet soil, Part I: Empirical models and experimental observations. IEEE Transactions on Geoscience and Remote Sensing GE-23(1): 25-34.
11. Higgins, R.W., W. Shi, E. Yarosh, and R. Joyce. 2000. Improved United States precipitation quality control system and analysis. NCEP/Climate Prediction Center ATLAS No. 7, U.S. Department of Commerce, National Weather Service, NOAA. http://www.cpc.noaa.gov/products/outreach/research_papers/ncep_cpc_atlas/7/ (last accessed on December 15, 2011).
12. Hutchinson, J.M.S. 2003. Estimating near-surface soil moisture using active microwave satellite imagery and optical sensor inputs. Transactions of the American Society of Agricultural and Biological Engineers (ASABE) 46(2): 225-236.
13. Illston, B.G., J.B. Basara, and K.C. Crawford. 2004. Seasonal to interannual variations of soil moisture measured in Oklahoma. International Journal of Climatology 24: 1883-1896.
14. Jackson, T.J. 1990. Laboratory evaluation of a field-portable dielectric soil-moisture probe. IEEE Transactions on Geoscience and Remote Sensing 28(2): 241-245.
15. Jackson, T.J. 1997. Soil moisture estimation using SSM/I satellite data over a grassland region. Water Resources Research 33: 1475-1484.
16. Jayaraman, V., V.S. Hedge, M. Rao, and H.H. Gowda. 1999. Future earth observation missions for oceanographic applications: Indian perspectives. Acta Astronautica 44(7-12): 667-674.
17. Justice, C.O., J.R.G. Townshend, B.N. Holben, and C.J. Tucker. 1985. Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing 6(8): 1271-1318.
18. Kerr, Y.H. and E.G. Njoku. 1990. A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space. IEEE Transactions on Geoscience and Remote Sensing 28: 384-393.
19. Kerr, Y.H., P. Waldteufel, J.P. Wigneron, S. Delwart, F. Cabot, J. Boutin, M.J. Escorihuela, J. Font, N. Reul, C. Gruhier, S.E. Juglea, M.R. Drinkwater, A. Hahne, M. Martin-Neira, and S. Mecklenburg. 2010. The SMOS mission: New tool for monitoring key elements of the global water cycle. Proceedings of the IEEE 98(5): 666-687.
20. 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 Transactions on Geoscience and Remote Sensing 39(8): 1729-1735.
21. Kumar, S.V., R.H. Reichle, C.D. Peters-Lidard, R.D. Koster, X.W. Zhan, W.T. Crow, J.B. Eylander, and P.R. Houser. 2008. A land surface data assimilation framework using the land information system: Description and applications. Advances in Water Resources 31(11): 1419-1432.
22. Lautenbacher, C.C. 2006. The Global Earth Observation System of Systems: Science serving society. Space Policy 22(1): 8-11.
23. Li, Q., L. Tsang, J. Shi, and C.H. Chan. 2000. Application of physics-based two-grid method and sparse matrix canonical grid method for numerical simulations of emissivities of soils with rough surfaces at microwave frequencies. IEEE Transactions on Geoscience and Remote Sensing 38: 1635-1643.
24. Loew, A., R. Ludwig, and W. Mauser. 2006. Derivation of surface soil moisture from ENVISAT ASAR wide swath and image mode data in agricultural areas. IEEE Transactions on Geoscience and Remote Sensing 44(4): 889-899.
25. Maddox, R.A., J. Zhang, J.J. Gourley, and K.W. Howard. 2002. Weather radar coverage over the contiguous United States. Weather and Forecasting 17: 927-934.
26. Mitchell, K.E., D. Lohmann, P.R. Houser, E.F. Wood, J.C. Schaake, A. Robock, B.A. Cosgrove, J. Sheffield, Q.Y. Duan, L.F. Luo, R.W. Higgins, R.T. Pinker, J.D. Tarpley, D.P. Lettenmaier, C.H. Marshall, J.K. Entin, M. Pan, W. Shi, V. Koren, J. Meng, B.H. Ramsay, and A.A. Bailey. 2004. The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. Journal of Geophysical Research 109(D7): D07S90, doi: 10.1029/2003JD003823.
27. Mo, T., T.J. Schmugge, and T.J. Jackson. 1984. Calculations of radar backscattering coefficient of vegetation covered soils. Remote Sensing of Environment 15: 119-133.
28. Moran, M.S., A. Vidal, D. Troufleau, Y. Inoue, and T.A. Mitchell. 1998. Ku- and C-band SAR for discriminating agricultural crop and soil conditions. IEEE Transactions of Geoscience and Remote Sensing 36: 265-272.
29. Moran, M.S., V. Vidal, D. Troufleau, J. Qi, T.R. Clarke, P.J. Pinter, Jr., T.A. Mitchell, Y. Inoue, and C.M.U. Neale. 1997. Combining multifrequency microwave and optical data for crop management. Remote Sensing of Environment 61: 96-109.
30. National Research Council. 2007. Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond. Washington, DC: The National Academies Press.
31. NCDC. 2009. State of the Climate-Drought, August 2009. National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce. http://www.ncdc.noaa.gov/sotc/?report=drought& year=2009&month=8 (last accessed on December 15, 2011).
32. NCDC. 2010a. Global surface summary of the day-GSOD. National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce. http://www.data.gov/geodata/g600037/ (last accessed on December 15, 2011).
33. NCDC. 2010b. North American drought monitor. National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce. http://www.ncdc.noaa.gov/temp-and-precip/drought/nadm/index.html (last accessed on December 15, 2011).
34. Nghiem, S.V. 2001. Advanced scatterometry for geophysical remote sensing. In Jet Propulsion Laboratory (JPL) Document D-23048. Pasadena, CA: Jet Propulsion Laboratory, California Institute of Technology.
35. Nghiem, S.V., M. Borgeaud, J.A. Kong, and R.T. Shin. 1990. Polarimetric remote sensing of geophysical media with layer random medium model. In Progress in Electromagnetics Research-Polarimetric Remote Sensing. Vol. 3, ed. J.A. Kong, pp. 1-73. New York: Elsevier.
36. Nghiem, S.V., R. Kwok, S.H. Yueh, and M.R. Drinkwater. 1995. Polarimetric signatures of sea ice, 1, Theoretical model. Journal of Geophysical Research 100(C7): 13665-13679.
37. Nghiem, S.V., T. Le Toan, J.A. Kong, H.C. Han, and M. Borgeaud. 1993a. Layer model with random spheroidal scatterers for remote sensing of vegetation canopy. Journal of Electromagnetic Waves and Applications 7(1): 49-76.
38. Nghiem, S.V., E.G. Njoku, G.R. Brakenridge, and Y. Kim. 2005. Land surface water cycles observed with satellite sensors. Proceedings of the 19th Conference on Hydrology and 16th Conference on Climate Variability and Change, 85th American Meteorological Society Meeting. San Diego, CA, January 9-13.
39. Nghiem, S.V., E.G. Njoku, J.J. Van Zyl, and Y. Kim. 2003. Global energy and water cycle-Soil moisture variability pattern over continental extent observed with active and passive satellite data. In Jet Propulsion Laboratory (JPL) Document. D-26225. Pasadena, CA: Jet Propulsion Laboratory, California Institute of Technology.
40. Nghiem, S.V., J.J. Van Zyl, W.-Y. Tsai, and G. Neumann. 2000. Potential application of scatterometry to large-scale soil moisture monitoring. In Jet Propulsion Laboratory (JPL) Document D-19523. Pasadena, CA: Jet Propulsion Laboratory, California Institute of Technology.
41. Nghiem, S.V., J. Verdin, M. Svoboda, D. Allured, J. Brown, B. Liebmann, G. Neumann, E. Engman, and D. Toll. 2010. Improved drought monitoring with NASA satellite data. Environmental and Water Resources Institute (EWRI) Currents 12(3): 7.
42. Nghiem, S.V., S.H. Yueh, R. Kwok, and D.T. Nguyen. 1993b. Polarimetric remote sensing of geophysical medium structures. Radio Science 28(6): 1111-1130.
43. NIDIS. 2006. National integrated drought information system act of 2006. Public Law 109-430. U.S. Statutes at Large 120(2006): 2918. http://www.gpo.gov/fdsys/pkg/PLAW-109publ430/pdf/PLAW-109publ430.pdf (last accessed on December 15, 2011).
44. NIDIS. 2007. The national integrated drought information system implementation plan-A pathway for national resilience. http://www.drought.gov/pdf/NIDIS-IPFinal-June07.pdf (last accessed on December 15, 2011).
45. Njoku, E. 2004. AMSR-E/Aqua L2B Surface Soil Moisture, Ancillary Parms, & QC EASE-Grids V002. Boulder, Co: National Snow and Ice Data Center. http://nsidc.org/data/docs/daac/ae_land_l2b_soil_moisture.gd.html (last accessed on December 15, 2011).
46. Njoku, E.G., T.J. Jackson, V. Lakshmi, T.K. Chan, and S.V. Nghiem. 2003. Soil moisture retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing 41(2): 215-229.
47. Njoku, E.G. and L. Li. 1999. Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz. IEEE Transactions on Geoscience and Remote Sensing 37: 79-93.
48. NMQ. 2009. Stage-4 24hr QPE accumulation. National Mosaic & Multi-Sensor QPE (NMQ). OK: NOAA National Severe Storms Laboratory, Norman. http://nmq.ou.edu/ (last accessed on December 15, 2011).
49. NWS. 2009. September 2009 weather in review. NOAA National Weather Service (NWS), Southern Region Headquarters. http://www.srh.noaa.gov/images/ewx/wxevent/sep2009.pdf (last accessed on December 15, 2011).
50. Owe, M., A. Chang, and R.E. Golus. 1988. Estimating surface soil moisture from satellite microwave measurements and a satellite-derived vegetation index. Remote Sensing of Environment 24: 131-345.
51. Prevot, M., M. Dechambre, O. Taconet, D. Vidal-Madjar, M. Normand, and S. Galle. 1993. Estimating the characteristics of vegetation canopies with airborne radar measurements. International Journal of Remote Sensing 14: 2803-2818.
52. Resource Management Services. 2004. State of montana multi-hazard mitigation plan and statewide hazard assessment. Fort Harrison, MT: Department of Military Affairs, Disaster and Emergency Services.
53. Shrivastava, H.S., P. Patel, Y. Sharma, and R.R. Navalgund. 2009. Large-area soil moisture estimation using multi-incidence-angle RADARSAT-1 SAR data. IEEE Transactions on Geoscience and Remote Sensing 47(8): 2528-2535.
54. Shrivastava, S.K., N. Yograjan, V. Jayaraman, P.P.N. Rao, and M.G. Chandrasekhar. 1997. On the relationship between ERS-1 SAR/backscatter and surface/sub-surface soil moisture variations in vertisols. Acta Astronautica 40(10): 693-699.
55. Shoshany, M., T. Svoray, P.J. Curran, G.M. Foody, and A. Perevolotsky. 2000. The relationship between ERS-2 SAR backscatter and soil moisture: Generalization from a humid to semi-arid transect. International Journal of Remote Sensing 21(11): 2337-2343.
56. Story, G. 2009. The difficulty of achieving good precipitation estimates for use in real-time drought monitoring. Sixth U.S. Drought Monitor Forum, Austin, TX, October 7-8.
57. Svoboda, M.D., M.J. Hayes, and D.A. Wilhite. 2001. The role of integrated drought monitoring in drought mitigation planning. Annals of Arid Zone 40(1): 1-11.
58. Svoboda, M., D. LeComte, M. Hayes, R. Heim, K. Gleason, J. Angel, B. Rippey, R. Tinker, M. Palecki, D. Stooksbury, D. Miskus, and S. Stephens. 2002. The Drought Monitor. Bulletin of the American Meteorological Society 83(8): 1181-1190.
59. Takada, M., Y. Mishima, and S. Natsume. 2009. Estimation of soil surface properties in peatland using ALSO/PALSAR. Landscape and Ecological Engineering 5(1): 45-58.
60. Teng, W.L., J.R. Wang, and P.C. Doriaswamy. 1993. Relationship between satellite microwave radiometric data, antecedent precipitation index, and regional soil moisture. International Journal of Remote Sensing 14: 2483-2500.
61. Texas Water Development Board. 2007. Highlights of the 2007 state water plan. Water for Texas 2007, Document No. GP-8-1.
62. Tsai, W.-Y., S.V. Nghiem, J.N. Huddleston, M.W. Spencer, B.W. Stiles, and R.D. West. 2000. Polarimetric scatterometry: A promising technique for improving ocean surface wind measurements. IEEE Transactions on Geoscience and Remote Sensing 38: 1903-1921.
63. U.S. Census Bureau. 2005. County and county equivalent areas. http://www.census.gov/geo/www/cob/co_metadata.html (last accessed on December 15, 2011).
64. USDA. 2009a. SCAN-soil climate analysis network. SCAN Brochure, Natural Resources Conservation Service, National Water and Climate Center National Soil Survey Center, Lincoln, NE. http://www.wcc.nrcs.usda.gov/scan/SCAN-brochure.pdf (last accessed on December 15, 2011).
65. USDA. 2009b. SNOTEL and snow survey and water supply forecasting, SNOTEL Brochure, NWCC Rev3/09, Natural Resources Conservation Service, National Water and Climate Center (NWCC), Portland, OR. http://www.wcc.nrcs.usda.gov/snotel/SNOTEL-brochure.pdf (last accessed on December 15, 2011).
66. Verdin, J., C. Funk, R. Klaver, and D. Roberts. 1999. Exploring the correlation between Southern Africa NDVI and Pacific sea surface temperatures: Results for the 1998 maize growing season. International Journal of Remote Sensing 20(10): 2117-2124.
67. Wagner, W., J. Noll, M. Borgeaud, and H. Rott. 1999. Monitoring soil moisture over the Canadian prairies with the ERS scatterometer. IEEE Transactions on Geoscience and Remote Sensing 37(1): 206-216.
68. Wagner, W. and K. Scipal. 2000. Large-scale soil moisture mapping in western Africa using the ERS scatterometer. IEEE Transactions on Geoscience and Remote Sensing 38(4, Part 2): 1777-1782.
69. Wang, J.R. 1983. Passive microwave sensing of soil moisture content: The effects of soil bulk density and surface roughness. Remote Sensing of Environment 13: 329-344.
70. Wang, J.R. 1985. Effect of vegetation on soil moisture sensing observed from orbiting microwave radiometers. Remote Sensing of Environment 17: 141-151.
71. Wang, J.R. and B.J. Choudhury. 1981. Remote sensing of soil moisture content over bare field at 1.4 GHz frequency. Journal of Geophysical Research 86: 5277-5282.
72. Western Governors’ Association. 2004. Creating a Drought Early Warning System for the 21st Century, The National Integrated Drought Information System. Denver, CO: Western Governors’ Association. http://www.westgov.org/wga/publicat/nidis.pdf (last accessed on December 15, 2011).
73. Wigneron, J.-P., L. Laguerre, and Y.H. Kerr. 2001. A simple parameterization of the L-band microwave emission from rough agricultural soils. IEEE Transactions on Geoscience and Remote Sensing 39: 1697-1707.
74. Wilhite, D.A. and M.H. Glantz. 1985. Understanding the drought phenomenon: The role of definitions. Water International 10: 111-120.
75. WMO (World Meteorological Organization). 2009. Experts agree on a universal drought index to cope with climate risks. Press release, World Meteorological Organization, WMO No.-872, United Nations, Geneva, Switzerland. http://www.wmo.int/pages/mediacentre/press_releases/pr_872_en.html (last accessed on December 15, 2011).
76. Zhang, X.Y., M. Goldberg, D. Tarpley, M.A. Friedl, J. Morisette, F. Kogan, and Y.Y. Yu. 2010. Drought-induced vegetation stress in southwestern North America. Environment Research Letters 5(2): 024008, doi: 10.1088/1748-9326/5/2/024008.