Erratum to: Passive Microwave Soil Moisture Downscaling Using Vegetation Index and Skin Surface Temperature (Vadose Zone Journal, (2013), 12, 3, 10.2136/vzj2013.05.0089);Passive microwave soil moisture downscaling using vegetation index and skin surface temperature

Vadose Zone Journal

Volumn 12, Issue 3, 2013, Pages

  Fang, Bin ^a   Lakshmi, Venkat ^a   Bindlish, Rajat ^b   Jackson, Thomas J ^b   Cosh, Michael ^b   Basara, Jeffrey ^c  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); ATMOSPHERIC TEMPERATURE; DECISION MAKING; IMAGE RESOLUTION; MICROWAVE DEVICES; MICROWAVE SENSORS; MICROWAVES; REMOTE SENSING; SATELLITE IMAGERY; SOIL MOISTURE; STATISTICS; SURFACE PROPERTIES; TABLE LOOKUP; VEGETATION;

ADVANCED MICROWAVE SCANNING RADIOMETER- EOS; GROUND BASED MEASUREMENT; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDEX; NORTH AMERICAN LAND DATA ASSIMILATION SYSTEMS; PASSIVE MICROWAVE SATELLITE SENSORS; SOIL MOISTURE DISTRIBUTION; STATISTICAL SIGNIFICANCE;

SOIL SURVEYS;

ALGORITHM; COMPARATIVE STUDY; DATA SET; DOWNSCALING; ESTIMATION METHOD; HETEROGENEITY; REGRESSION ANALYSIS; REMOTE SENSING; SOIL MOISTURE; SPATIAL RESOLUTION; STATISTICAL ANALYSIS; SURFACE TEMPERATURE;

NORTH AMERICA;

EID: 84881591767     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2013.05.0089er     Document Type: Erratum

References (66)

1. Collatz, G., J.L. Botmouaz, D. Los, I.Y. Randall, and P.J. Sellers. 2000. A mechanism for the influence of vegetation on the response of the diurnal temperature range to changing climate. Geophys. Res. Lett. 27(20):3381-3384. doi:10.1029/1999GL010947
2. Cosgrove, B.A., D. Lohmann, K.E. Mitchell, P.R. Houser, E.F. Wood, J.C. Schaake, A. Robock, C. Marshall, J. Sheffield, Q. Duan, L. Luo, R.W. Higgins, R.T. Pinker, J.D. Tarpley, and J. Meng. 2003. Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. J. Geophys. Res. 108(D22):8842. doi:10.1029/2002JD003118
3. Cosh, M.H., T.J. Jackson, R. Bindlish, and J.H. Prueger. 2004. Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates. Remote Sens. Environ. 92(4):427-435. doi:10.1016/j. rse.2004.02.016
4. Dai, A., and C. Deser. 1999. Diurnal and semidiurnal variations in global surface wind and divergence fields. J. Geophys. Res. 104(31):109-131.
5. Das, N.N., D. Entekhabi, and E.G. Njoku. 2011. An algorithm for merging SMAP radiometer and radar data for high-resolution soil-moisture retrieval. IEEE Trans. Geosci. Remote Sens. 49(5):1504-1512. doi:10.1109/ TGRS.2010.2089526
6. De Fries, R.S., M. Hansen, J.R.G. Townshend, and R. Sohlberg. 1998. Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers. Int. J. Remote Sens. 19(16):3141-3168. doi:10.1080/014311698214235
7. Entekhabi, D., E. Njoku, P. O'Neill, M. Spencer, T. Jackson, J. Entin, E. Im, and K. Kellogg. 2008. The soil moisture active/passive mission (SMAP). In: Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, Vol. 3, p. III-1. doi:10.1109/IGARSS.2008.4779267
8. Famiglietti, J.S., D. Ryu, A.A. Berg, M. Rodell, and T.J. Jackson. 2008. Field observations of soil moisture variability across scales. Water Resour. Res. 44:W01423. doi:10.1029/2006WR005804.
9. Friedl, M.A., D.K. McIver, J.C.F. Hodges, X.Y. Zhang, D. Muchoney, A.H. Strahler, C.E. Woodcock, et al. 2002. Global land cover mapping from MODIS: Algorithms and early results. Remote Sens. Environ. 83(1-2):287-302. doi:10.1016/S0034-4257(02)00078-0
10. Gillies, R.R., and T.N. Carlson. 1995. Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. J. Appl. Meteorol. 34(4):745-756. doi:10.1175/1520-0450(1995)034<0745:TRSOSS>2.0.CO;2
11. Goetz, S.J. 1997. Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site. Int. J. Remote Sens. 18(1):71-94. doi:10.1080/014311697219286
12. Heathman, G.C., M.H. Cosh, E. Han, T.J. Jackson, L. McKee, and S. McAfee. 2012. Field scale spatiotemporal analysis of surface soil moisture for evaluating point-scale in situ networks. Geoderma 170:195-205. doi:10.1016/j. geoderma.2011.11.004
13. Heilman, J.L., and D.G. Moore. 1982. Evaluating near-surface soil moisture using Heat Capacity Mapping Mission data. Remote Sens. Environ. 12(2):117-121. doi:10.1016/0034-4257(82)90031-1
14. Illston, B.G., J.B. Basara, C.A. Fiebrich, K.C. Crawford, E. Hunt, D.K. Fisher, R. Elliott, and K. Humes. 2008. Mesoscale monitoring of soil moisture across a statewide network. J. Atmos. Ocean. Technol. 25(2):167-182. doi:10.1175/2007JTECHA993.1
15. Imaoka, K., M. Kachi, H. Fujii, H. Murakami, M. Hori, A. Ono, T. Igarashi, et al. 2010. Global Change Observation Mission (GCOM) for monitoring carbon, water cycles, and climate change. Proc. IEEE 98(5):717-734. doi:10.1109/ JPROC.2009.2036869
16. Jackson, T.J. 1993. III. Measuring surface soil moisture using passive microwave remote sensing. Hydrol. Processes 7(2):139-152. doi:10.1002/ hyp.3360070205
17. Jackson, T.J., D.M. Le Vine, A.Y. Hsu, A. Oldak, P.J. Starks, C.T. Swift, J.D. Isham, and M. Haken. 1999. Soil moisture mapping at regional scales using microwave radiometry: The Southern Great Plains Hydrology Experiment. IEEE Trans. Geosci. Remote Sens. 37:2136-2151.
18. Jackson, T.J., A.J. Gasiewski, A. Oldak, M. Klein, E.G. Njoku, A. Yevgrafov, S. Christiani, and R. Bindlish. 2002. Soil moisture retrieval using the C-band polarimetric scanning radiometer during the Southern Great Plains 1999 Experiment. IEEE Trans. Geosci. Remote Sens. 40:2151-2161. doi:10.1109/ TGRS.2002.802480
19. Jackson, T.J., M.H. Cosh, R. Bindlish, P.J. Starks, D.D. Bosch, M. Seyfried, D.C. Goodrich, M.S. Moran, and J. Du. 2010. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Trans. Geosci. Remote Sens. 48:4256-4272. doi:10.1109/TGRS.2010.2051035
20. Justice, C.O., J.R.G. Townshend, E.F. Vermote, E. Masuoka, R.E. Wolfe, N. Saleous, D.P. Roy, and J.T. Morisette. 2002. An overview of MODIS Land data processing and product status. Remote Sens. Environ. 83(1-2):3-15. doi:10.1016/S0034-4257(02)00084-6
21. Karl, T.R., G. Kukla, and J. Gavin. 1984. Decreasing diurnal temperature range in the United States and Canada from 1941 through 1980. J. Clim. Appl. Meteorol. 23(11):1489-1504. doi:10.1175/1520-0450(1984)023<1489:DD TRIT>2.0.CO;2
22. Kim, J., and T.S. Hogue. 2012. Improving spatial soil moisture representation through integration of AMSR-E and MODIS products. IEEE Trans. Geosci. Remote Sens. 50(2):446-460. doi:10.1109/TGRS.2011.2161318
23. Knight, J.F., et al. 2006. Regional scale land cover characterization using MODISNDVI 250 m multi-temporal imagery: A phenology-based approach. GISci. Remote Sens. 43(1):1-23. doi:10.2747/1548-1603.43.1.1
24. Kurc, S.A., and E.E. Small. 2004. Dynamics of evapotranspiration in semiarid grassland and shrubland ecosystems during the summer monsoon season, central New Mexico. Water Resour. Res. 40:W09305. doi:10.1029/2004WR003068
25. Lakshmi, V., S. Hong, E.E. Small, and F. Chen. 2011. The influence of the land surface on hydrometeorology and ecology: New advances from modeling and satellite remote sensing. Hydrol. Res. 42(2-3):95-112. doi:10.2166/ nh.2011.071
26. Lakshmi, V., E.F. Wood, and B.J. Choudhury. 1997. Evaluation of Special Sensor Microwave/Imager satellite data for regional soil moisture estimation over the Red River Basin. J. Appl. Meteorol. 36(10):1309-1328. doi:10.1175/1520-0450(1997)036<1309:EOSSMI>2.0.CO;2
27. Land Long Term Data Record (LTDR). 2011. AVHRR data. http://ltdr.nascom. nasa.gov/ (accessed 2011). NASA, Goddard Space Center.
28. Lohmann, D., K.E. Mitchell, P.R. Houser, E.F. Wood, J.C. Schaake, A. Robock, B.A. Cosgrove, et al. 2004. Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System project. J. Geophys. Res. 109(D7):D07S91. doi:10.1029/2003JD003517
29. Luo, L., A. Robock, K.E. Mitchell, P.R. Houser, E.F. Wood, J.C. Schaake, D. Lohmann, et al. 2003. Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains. J. Geophys. Res. 108(D22):8843. doi:10.1029/2002JD003246
30. Mallick, K., B.K. Bhattacharya, and N.K. Patel. 2009. Estimating volumetric surface moisture content for cropped soils using a soil wetness index based on surface temperature and NDVI. Agric. For. Meteorol. 149(8):1327-1342. doi:10.1016/j.agrformet.2009.03.004
31. McPherson, R.A., C.A. Fiebrich, K.C. Crawford, J.R. Kilby, D.L. Grimsley, J.E. Martinez, J.B. Basara, et al. 2007. Statewide monitoring of the mesoscale environment: A technical update on the Oklahoma Mesonet. J. Atmos. Ocean. Technol. 24(3):301-321. doi:10.1175/JTECH1976.1
32. Merlin, O., A. Al Bitar, J.P. Walker, and Y. Kerr. 2009. A sequential model for disaggregating near-surface soil moisture observations using multiresolution thermal sensors. Remote Sens. Environ. 113(10):2275-2284. doi:10.1016/j.rse.2009.06.012
33. Merlin, O., A. Al Bitar, J.P. Walker, and Y. Kerr. 2010. An improved algorithm for disaggregating microwave-derived soil moisture based on red, nearinfrared and thermal-infrared data. Remote Sens. Environ. 114(10):2305-2316. doi:10.1016/j.rse.2010.05.007
34. Merlin, O., J.P. Walker, A. Chehbouni, and Y. Kerr. 2008a. Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency. Remote Sens. Environ. 112(10):3935-3946. doi:10.1016/j. rse.2008.06.012
35. Merlin, O., A. Chehbouni, J.P. Walker, R. Panciera, and Y.H. Kerr. 2008b. A simple method to disaggregate passive microwave-based soil moisture. IEEE Trans. Geosci. Remote Sens. 46(3):786-796. doi:10.1109/TGRS.2007.914807
36. Merlin, O., C. Rudiger, A. Al Bitar, P. Richaume, J.P. Walker, and Y.H. Kerr. 2012. Disaggregation of SMOS soil moisture in Southeastern Australia. IEEE Trans. Geosci. Remote Sens. 50(5):1556-1571. doi:10.1109/TGRS.2011.2175000
37. Minacapilli, M., M. Iovino, and F. Blanda. 2009. High resolution remote estimation of soil surface water content by a thermal inertia approach. J. Hydrol. 379(3-4):229-238. doi:10.1016/j.jhydrol.2009.09.055
38. Minet, J., P. Bogaert, M. Vanclooster, and S. Lambot. 2012. Validation of ground penetrating radar full waveform inversion for field scale soil moisture mapping. J. Hydrol. 424-425:112-123. doi:10.1016/j.jhydrol.2011.12.034
39. Mitchell, K.E., D. Lohmann, P.R. Houser, E.F. Wood, J.C. Schaake, A. Robock, B.A. Cosgrove, et al. 2004. The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res. 109(D7). doi:10.1029/2003JD003823.
40. Mladenova, Iliana, Venkat Lakshmi, Thomas J. Jackson, Jeffrey P. Walker, Olivier Merlin, and Richard AM de Jeu. 2011. Validation of AMSR-E soil moisture using L-band airborne radiometer data from National Airborne Field Experiment 2006. Remote Sens. Environ. 115:2096-2103. doi:10.1016/j. rse.2011.04.011
41. Mo, K.C., L.-C. Chen, S. Shukla, T.J. Bohn, and D.P. Lettenmaier. 2012. Uncertainties in North American land data assimilation systems over the contiguous United States. J. Hydrometeorol. 13:996-1009. doi:10.1175/ JHM-D-11-0132.1
42. Mohanty, B.P., J.S. Famiglietti, and T.H. Skaggs. 2000. Evolution of soil moisture spatial structure in a mixed vegetation pixel during the Southern Great Plains 1997 (SGP97) hydrology experiment. Water Resour. Res. 36:3675-3686. doi:10.1029/2000WR900258
43. Myneni, R.B., F.G. Hall, P.J. Sellers, and A.L. Marshak. 1995. The interpretation of spectral vegetation indexes. IEEE Trans. Geosci. Remote Sens. 33(2):481-486. doi:10.1109/36.377948
44. Myneni, R.B., S. Hoffman, Y. Knyazikhin, J.L. Privette, J. Glassy, Y. Tian, Y. Wang, et al. 2002. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ. 83(1-2):214-231. doi:10.1016/S0034-4257(02)00074-3
45. Narayan, U., V. Lakshmi, and E.G. Njoku. 2004. A simple algorithm for spatial disaggregation of radiometer derived soil moisture using higher resolution radar observations. In: Geoscience and Remote Sensing Symposium, 2004. IGARSS'04. Proceedings. 2004 IEEE International, Vol. 3, p. 1877-1879. doi:10.1109/IGARSS.2004.1370706
46. Narayan, U., and V. Lakshmi. 2008. Characterizing subpixel variability of low resolution radiometer derived soil moisture using high resolution radar data. Water Resour. Res. 44(6). doi:10.1029/2006WR005817
47. National Aeronautics and Space Administration (NASA). 2011. National Space Science Data Center. NSSIDC ID: 1978-041A. http://nssdc.gsfc.nasa.gov/ nmc/spacecraftDisplay.do?id=1978-041A (accessed 2011).
48. Njoku, E.G., and D. Entekhabi. 1996. Passive microwave remote sensing of soil moisture. J. Hydrol. 184(1-2):101-129. doi:10.1016/0022-1694(95)02970-2
49. Njoku, E.G., T.J. Jackson, V. Lakshmi, T.K. Chan, and S.V. Nghiem. 2003. Soil moisture retrieval from AMSR-E. IEEE Trans. Geosci. Remote Sens. 41(2):215-229. doi:10.1109/TGRS.2002.808243
50. Njoku, E.G., and L. Li. 1999. Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz. IEEE Trans. Geosci. Remote Sens. 37(1):79-93. doi:10.1109/36.739125
51. Njoku, E.G., and S.K. Chan. 2006. Vegetation and surface roughness effects on AMSR-E land observations. Remote Sens. Environ. 100(2):190-199. doi:10.1016/j.rse.2005.10.017
52. North American Land Data Assimilation Systems (NLDAS). 2011. NLDAS data. http://ldas.gsfc.nasa.gov/ (accessed 2011).
53. Pan, M., E.F. Wood, D.B. McLaughlin, D. Entekhabi, and L. Luo. 2009. A multiscale ensemble filtering system for hydrologic data assimilation. Part I: Implementation and synthetic experiment. J. Hydrometeorol. 10(3):794-806. doi:10.1175/2009JHM1088.1
54. Parada, L.M., and X. Liang. 2004. Optimal multiscale Kalman filter for assimilation of near-surface soil moisture into land surface models. J. Geophys. Res. 109(D24):D24109. doi:10.1029/2004JD004745
55. Piles, M., A. Camps, M. Vall-Llossera, I. Corbella, R. Panciera, C. Rudiger, Y.H. Kerr, and J. Walker. 2011. Downscaling SMOS-derived soil moisture using MODIS visible/infrared data. IEEE Trans. Geosci. Remote Sens. 49(9):3156-3166. doi:10.1109/TGRS.2011.2120615
56. Rodríguez-Iturbe, I., G.K. Vogel, R. Rigon, D. Entekhabi, F. Castelli, and A. Rinaldo. 1995. On the spatial organization of soil moisture fields. Geophys. Res. Lett. 22(20):2757-2760. doi:10.1029/95GL02779
57. Robock, A., L. Luo, E.F. Wood, F. Wen, K.E. Mitchell, P.R. Houser, J.C. Schaake, et al. 2003. Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season. J. Geophys. Res. 108(no. D22):8846. doi:10.1029/2002JD003245
58. Sahoo, A.K., G.J.M. De Lannoy, R.H. Reichle, and P.R. Houser. 2012. Assimilation and downscaling of satellite observed soil moisture over the Little River Experimental Watershed in Georgia, USA. Adv. Water Resour. 52:19-33. doi:10.1016/j.advwatres.2012.08.007.
59. Sandholt, I., K. Rasmussen, and J. Andersen. 2002. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sens. Environ. 79(2-3):213-224. doi:10.1016/ S0034-4257(01)00274-7
60. Schaake, J.C., Q. Duan, V. Koren, K.E. Mitchell, P.R. Houser, E.F. Wood, A. Robock, et al. 2004. An intercomparison of soil moisture fields in the North American Land Data Assimilation System (NLDAS). J. Geophys. Res. 109(D1):D01S90. doi:10.1029/2002JD003309
61. Schmugge, T., P. Gloersen, T. Wilheit, and F. Geiger. 1974. Remote sensing of soil moisture with microwave radiometers. J. Geophys. Res. 79(2):317-323. doi:10.1029/JB079i002p00317
62. Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8(2):127-150. doi:10.1016/0034-4257(79)90013-0
63. van Genuchten, M. Th. 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil. Sci. Soc. Am. J. 44:892-898.
64. Wan, Z., and Z.-L. Li. 1997. A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data. IEEE Trans. Geosci. Remote Sens. 35(4):980-996. doi:10.1109/36.602541
65. Zhang, X., et al. 2003. Monitoring vegetation phenology using MODIS. Remote Sens. Environ. 84(3):471-475. doi:10.1016/S0034-4257(02)00135-9
66. Zhou, Y., D. McLaughlin, D. Entekhabi, and G.-H.C. Ng. 2008. An ensemble multiscale filter for large nonlinear data assimilation problems. Mon. Weather Rev. 136(2):678-698. doi:10.1175/2007MWR2064.1