A global comparison of alternate AMSR2 soil moisture products: Why do they differ?

Remote Sensing of Environment

Volumn 161, Issue , 2015, Pages 43-62

  Kim, Seokhyeon ^a   Liu, Yi Y ^a   Johnson, Fiona M ^a   Parinussa, Robert M ^a,b   Sharma, Ashish ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

AMSR2; COSMOS; JAXA; LPRM; Soil moisture

Indexed keywords

ALGORITHMS; ATMOSPHERIC TEMPERATURE; BALLOONS; COSMIC RAY MEASUREMENT; COSMIC RAYS; COSMOLOGY; MICROWAVE SENSORS; MOISTURE; NASA; PARAMETER ESTIMATION; SOILS; SPACE RESEARCH; SURFACE ROUGHNESS;

ADVANCED MICROWAVE SCANNING RADIOMETER; AMSR2; COSMOS; GLOBAL CHANGE OBSERVATION MISSIONS; JAPAN AEROSPACE EXPLORATION AGENCY; JAXA; LPRM; REMOTELY SENSED SOIL MOISTURE;

SOIL MOISTURE;

ALGORITHM; AMSR-E; COMPARATIVE STUDY; COSMOS; DATA SET; GLOBAL CHANGE; NOISE; PARAMETERIZATION; REMOTE SENSING; SATELLITE DATA; SENSOR; SOIL MOISTURE; SURFACE ROUGHNESS; SURFACE TEMPERATURE; TEMPORAL ANALYSIS; WEATHER FORECASTING;

AFRICA; AUSTRALIA; EUROPE; UNITED STATES;

EID: 85027939154     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.02.002     Document Type: Article

References (66)

1. Albergel C., de Rosnay P., Gruhier C., Muñoz-Sabater J., Hasenauer S., Isaksen L., et al. Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations. Remote Sensing of Environment 2012, 118:215-226.
2. Albergel C., Dorigo W., Balsamo G., Muñoz-Sabater J., de Rosnay P., Isaksen L., et al. Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses. Remote Sensing of Environment 2013, 138(0):77-89. 10.1016/j.rse.2013.07.009.
3. Al-Yaari A., Wigneron J.P., Ducharne A., Kerr Y., de Rosnay P., de Jeu R., et al. Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates. Remote Sensing of Environment 2014, 149(0):181-195. 10.1016/j.rse.2014.04.006.
4. Becker F., Choudhury B.J. Relative sensitivity of normalized difference vegetation index (NDVI) and microwave polarization difference index (MPDI) for vegetation and desertification monitoring. Remote Sensing of Environment 1988, 24(2):297-311.
5. Bogena H.R., Huisman J.A., Baatz R., Hendricks Franssen H.J., Vereecken H. Accuracy of the cosmic-ray soil water content probe in humid forest ecosystems: The worst case scenario. Water Resources Research 2013, 49(9):5778-5791. 10.1002/wrcr.20463.
6. Brocca L., Hasenauer S., Lacava T., Melone F., Moramarco T., Wagner W., et al. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe. Remote Sensing of Environment 2011, 115(12):3390-3408.
7. Brocca L., Melone F., Moramarco T., Wagner W., Naeimi V., Bartalis Z., et al. Improving runoff prediction through the assimilation of the ASCAT soil moisture product. Hydrology and Earth System Sciences 2010, 14(10):1881-1893. 10.5194/hess-14-1881-2010.
8. Bruckler L., Witono H. Use of remotely sensed soil moisture content as boundary conditions in soil-atmosphere water transport modeling: 2. Estimating soil water balance. Water Resources Research 1989, 25(12):2437-2447.
9. Chen F., Crow W.T., Starks P.J., Moriasi D.N. Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture. Advances in Water Resources 2011, 34(4):526-536. 10.1016/j.advwatres.2011.01.011.
10. Choudhury B.J., Schmugge T.J., Chang A., Newton R.W. Effect of surface roughness on the microwave emission from soils. Journal of Geophysical Research, Oceans 1979, 84(C9):5699-5706. 10.1029/JC084iC09p05699.
11. Crow W.T., Miralles D.G., Cosh M.H. A quasi-global evaluation system for satellite-based surface soil moisture retrievals. IEEE Transactions on Geoscience and Remote Sensing 2010, 48(6):2516-2527. 10.1109/TGRS.2010.2040481.
12. Crow W.T., Ryu D. A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals. Hydrology and Earth System Sciences 2009, 13(1):1-16. 10.5194/hess-13-1-2009.
13. De Jeu R.A.M., Owe M. Further validation of a new methodology for surface moisture and vegetation optical depth retrieval. International Journal of Remote Sensing 2003, 24(22):4559-4578. 10.1080/0143116031000095934.
14. De Jeu R.A.M., Wagner W., Holmes T.R.H., Dolman A.J., Giesen N.C., Friesen J. Global soil moisture patterns observed by space borne microwave radiometers and scatterometers. Surveys in Geophysics 2008, 29(4-5):399-420. 10.1007/s10712-008-9044-0.
15. Dee D.P., Uppala S.M., Simmons A.J., Berrisford P., Poli P., Kobayashi S., et al. The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society 2011, 137(656):553-597. 10.1002/qj.828.
16. Diamond H.J., Karl T.R., Palecki M.A., Baker C.B., Bell J.E., Leeper R.D., et al. U.S. climate reference network after one decade of operations: Status and assessment. Bulletin of the American Meteorological Society 2013, 94(4):485-498. 10.1175/BAMS-D-12-00170.1.
17. Dorigo W.A., Scipal K., Parinussa R.M., Liu Y.Y., Wagner W., de Jeu R.A.M., et al. Error characterisation of global active and passive microwave soil moisture datasets. Hydrology and Earth System Sciences 2010, 14(12):2605-2616. 10.5194/hess-14-2605-2010.
18. Dorigo W.A., Wagner W., Hohensinn R., Hahn S., Paulik C., Xaver A., et al. The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements. Hydrology and Earth System Sciences 2011, 15(5):1675-1698. 10.5194/hess-15-1675-2011.
19. Dorigo W., Xaver A., Vreugdenhil M., Gruber A., Hegyiová A., Sanchis-Dufau A., et al. Global automated quality control of in situ soil moisture data from the International Soil Moisture Network. Vadose Zone Journal 2013, 12(3).
20. Draper C.S., Walker J.P., Steinle P.J., De Jeu R.A.M., Holmes T.R.H. An evaluation of AMSR-E derived soil moisture over Australia. Remote Sensing of Environment 2009, 113(4):703-710.
21. Engman E.T. Applications of microwave remote sensing of soil moisture for water resources and agriculture. Remote Sensing of Environment 1991, 35(2):213-226.
22. Entekhabi D., Reichle R.H., Koster R.D., Crow W.T. Performance metrics for soil moisture retrievals and application requirements. Journal of Hydrometeorology 2010, 11(3).
23. Fujii H., Koike T., Imaoka K. Improvement of the AMSR-E algorithm for soil moisture estimation by introducing a fractional vegetation coverage dataset derived from MODIS data. Journal of the Remote Sensing Society of Japan 2009, 29(1):11.
24. GLOBE-Task-Team, et al. The Global Land One-kilometer Base Elevation (GLOBE) Digital Elevation Model, Version 1.0 Retrieved from:. http://www.ngdc.noaa.gov/mgg/topo/globe.html.
25. Gruhier C., de Rosnay P., Hasenauer S., Holmes T., de Jeu R., Kerr Y., et al. Soil moisture active and passive microwave products: Intercomparison and evaluation over a Sahelian site. Hydrology and Earth System Sciences 2010, 14(1):141-156.
26. Hain C.R., Crow W.T., Mecikalski J.R., Anderson M.C., Holmes T. An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling. Journal of Geophysical Research, [Atmospheres] 2011, 116(D15):D15107. 10.1029/2011JD015633.
27. Huffman G.J., Bolvin D.T. TRMM and other data precipitation data set documentation From. ftp://precip.gsfc.nasa.gov/pub/trmmdocs/3B42_3B43_doc.pdf.
28. Imaoka K., Kachi M., Kasahara M., Ito N., Nakagawa K., Oki T. Instrument performance and calibration of AMSR-E and AMSR2. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2010, 38(Part 8).
29. Jackson T.J. III. Measuring surface soil moisture using passive microwave remote sensing. Hydrological Processes 1993, 7(2):139-152.
30. Jackson T.J., Cosh M.H., Bindlish R., Starks P.J., Bosch D.D., Seyfried M., et al. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing 2010, 48(12):4256-4272. 10.1109/TGRS.2010.2051035.
31. Jackson T.J., Schmugge T.J. Vegetation effects on the microwave emission of soils 1991.
32. Jackson T.J., Schmugge J., Engman E.T. Remote sensing applications to hydrology: Soil moisture. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques 1996, 41(4):517-530. 10.1080/02626669609491523.
33. Koike T. Soil moisture algorithm descriptions of GCOM-W1 AMSR2 (Rev. A) 2013, 8-1-8-13. Earth Observation Research Center, Japan Aerospace Exploration Agency, Retrieved from http://suzaku.eorc.jaxa.jp/GCOM_W/data/doc/NDX-120015A.pdf.
34. Koike T., Nakamura Y., Kaihotsu I., Davva G., Matsuura N., Tamagawa K., et al. Development of an advanced microwave scanning radiometer (AMSR-E) algorithm of soil moisture and vegetation water content. Annual Journal of Hydraulic Engineering, JSCE 2004, 48(2):6.
35. Koike T., Tsukamoto T., Kumakura T., Lu M. Spatial and seasonal distribution of surface wetness derived from satellite data. Paper presented at the Proceeding of the International Workshop on Macro-Scale Hydrological Modeling 1996.
36. Koster R.D., Dirmeyer P.A., Guo Z., Bonan G., Chan E., Cox P., et al. Regions of strong coupling between soil moisture and precipitation. Science 2004, 305(5687):1138-1140.
37. Liu G. A fast and accurate model for microwave radiance calculations. Journal of the Meteorological Society of Japan 1998, 76(2):335-343.
38. Liu Y.Y., de Jeu R.A., McCabe M.F., Evans J.P., van Dijk A.I. Global long-term passive microwave satellite-based retrievals of vegetation optical depth. Geophysical Research Letters 2011, 38(18).
39. Liu Y.Y., Parinussa R.M., Dorigo W.A., De Jeu R.A.M., Wagner W., van Dijk A.I.J.M., et al. Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences 2011, 15(2):425-436. 10.5194/hess-15-425-2011.
40. Liu Y.Y., van Dijk A.I.J.M., McCabe M.F., Evans J.P., de Jeu R.A.M. Global vegetation biomass change (1988-2008) and attribution to environmental and human drivers. Global Ecology and Biogeography 2013, 22(6):692-705. 10.1111/geb.12024.
41. Meesters A.G.C.A., De Jeu R.A.M., Owe M. Analytical derivation of the vegetation optical depth from the microwave polarization difference index. IEEE Geoscience and Remote Sensing Letters 2005, 2(2):121-123.
42. Miralles D.G., Crow W.T., Cosh M.H. Estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. Journal of Hydrometeorology 2010, 11(6):1423-1429. 10.1175/2010JHM1285.1.
43. Mo T., Choudhury B.J., Schmugge T.J., Wang J.R., Jackson T.J. A model for microwave emission from vegetation-covered fields. Journal of Geophysical Research, Oceans 1982, 87(C13):11229-11237. 10.1029/JC087iC13p11229.
44. Njoku E.G., Ashcroft P., Chan T.K., Li L. Global survey and statistics of radio-frequency interference in AMSR-E land observations. IEEE Transactions on Geoscience and Remote Sensing 2005, 43(5):938-947.
45. Njoku E.G., Entekhabi D. Passive microwave remote sensing of soil moisture. Journal of Hydrology 1996, 184(1-2):101-129. 10.1016/0022-1694(95)02970-2.
46. Njoku E.G., Jackson T.J., Lakshmi V., Chan T.K., Nghiem S.V. Soil moisture retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing 2003, 41(2):215-229. 10.1109/TGRS.2002.808243.
47. Njoku E.G., Koike T., Jackson T., Paloscia S. Retrieval of soil moisture from AMSR data. Microwave radiometry for remote sensing of the earth's surface and atmosphere 1999, 9. VSP Publishing, Netherlands.
48. Njoku E.G., Li L. Retrieval of land surface parameters using passive microwave measurements at 6-18GHz. IEEE Transactions on Geoscience and Remote Sensing 1999, 37(1):79-93.
49. Owe M., De Jeu R.A.M., Holmes T. Multisensor historical climatology of satellite-derived global land surface moisture. Journal of Geophysical Research, Earth Surface 2008, 113(F1):F01002. 10.1029/2007JF000769.
50. Owe M., De Jeu R.A.M., Walker J. A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Transactions on Geoscience and Remote Sensing 2001, 39(8):1643-1654. 10.1109/36.942542.
51. Paloscia S., Macelloni G., Santi E. Soil moisture estimates from AMSR-E brightness temperatures by using a dual-frequency algorithm. IEEE Transactions on Geoscience and Remote Sensing 2006, 44(11):3135-3144. 10.1109/TGRS.2006.881714.
52. Paloscia S., Pampaloni P. Microwave polarization index for monitoring vegetation growth. IEEE Transactions on Geoscience and Remote Sensing 1988, 26(5):617-621. 10.1109/36.7687.
53. Parinussa R., Holmes T., Wanders N., Dorigo W., de Jeu R. A Preliminary Study Towards Consistent Soil Moisture from AMSR2. J. Hydrometeor 2015, (in press). 10.1175/JHM-D-13-0200.1.
54. Parinussa R., Holmes T., Yilmaz M., Crow W. The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations. Hydrology and Earth System Sciences 2011, 15(10):3135-3151.
55. Parinussa R.M., Meesters A.G.C.A., Liu Y., Dorigo W., Wagner W., De Jeu R.A.M. Error estimates for near-real-time satellite soil moisture as derived from the land parameter retrieval model. IEEE Geoscience and Remote Sensing Letters 2011, 8(4):779-783.
56. Rosolem R., Shuttleworth W.J., Zreda M., Franz T.E., Zeng X., Kurc S.A. The effect of atmospheric water vapor on neutron count in the cosmic-ray soil moisture observing system. Journal of Hydrometeorology 2013, 14(5):1659-1671. 10.1175/JHM-D-12-0120.1.
57. Schmugge T.J., Kustas W.P., Ritchie J.C., Jackson T.J., Rango A. Remote sensing in hydrology. Advances in Water Resources 2002, 25(8-12):1367-1385. 10.1016/S0309-1708(02)00065-9.
58. Scipal K., Holmes T., de Jeu R., Naeimi V., Wagner W. A possible solution for the problem of estimating the error structure of global soil moisture data sets. Geophysical Research Letters 2008, 35(24):L24403. 10.1029/2008GL035599.
59. Wagner W., Bloschl G., Pampaloni P., Calvet J.-C., Bizzarri B., Wigneron J.-P., et al. Operational readiness of microwave remote sensing of soil moisture for hydrologic applications. Nordic Hydrology 2007, 38(1):1-20.
60. Wang J.R., Schmugge T.J. An Empirical Model for the Complex Dielectric Permittivity of Soils as a Function of Water Content. Geoscience and Remote Sensing, IEEE Transactions on 1980, GE-18(4):288-295. 10.1109/TGRS.1980.350304.
61. Wigneron J., Chanzy A., Calvet J., Bruguier N. A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields. Remote Sensing of Environment 1995, 51(3):331-341.
62. Wigneron J., Schmugge T.J., Chanzy A., Calvet J., Kerr Y. Use of passive microwave remote sensing to monitor soil moisture. Agronomie 1998, 18(1):27-43.
63. Yee M., Walker J.P., Dumedah G., Monerris A., Rüdiger C. Towards land surface model validation from using satellite retrieved soil moisture. Paper presented at the 20th International Congress on Modelling and Simulation, Adelaide, Australia 2013.
64. Yilmaz M.T., Crow W.T. The optimality of potential rescaling approaches in land data assimilation. Journal of Hydrometeorology 2013, 14(2).
65. Zhu H.D., Shi Z.H., Fang N.F., Wu G.L., Guo Z.L., Zhang Y. Soil moisture response to environmental factors following precipitation events in a small catchment. Catena 2014, 120(0):73-80. 10.1016/j.catena.2014.04.003.
66. Zreda M., Shuttleworth W., Zeng X., Zweck C., Desilets D., Franz T., et al. COSMOS: the COsmic-ray Soil Moisture Observing System. Hydrology and Earth System Sciences 2012, 16(11).