Investigation of SMAP fusion algorithms with airborne active and passive L-Band microwave remote sensing

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 7, 2016, Pages 3878-3889

  Montzka, Carsten ^a   Jagdhuber, Thomas ^b   Horn, Ralf ^b   Bogena, Heye R ^a   Hajnsek, Irena ^b,c   Reigber, Andreas ^b   Vereecken, Harry ^a  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

^c ETH ZURICH   (Switzerland)

Author keywords

Active passive fusion; L band microwave; radar; radiometer; soil moisture; Soil Moisture Active Passive (SMAP)

Indexed keywords

ATMOSPHERIC HUMIDITY; BACKSCATTERING; CATCHMENTS; LUMINANCE; MICROWAVE SENSORS; MICROWAVES; MOISTURE CONTROL; NASA; RADAR; RADIOMETERS; REMOTE SENSING; SENSOR DATA FUSION; SOIL MOISTURE; SYNTHETIC APERTURE RADAR; TEMPERATURE;

ACTIVE AND PASSIVE REMOTE SENSING; BRIGHTNESS TEMPERATURES; MICROWAVE REMOTE SENSING; PASSIVE MICROWAVE BRIGHTNESS TEMPERATURES; REGRESSION PARAMETERS; SOIL MOISTURE ACTIVE PASSIVE (SMAP); SOIL MOISTURE MAPPING; SOIL MOISTURE RETRIEVALS;

SOIL SURVEYS;

ACCURACY ASSESSMENT; AIRBORNE SENSOR; ALGORITHM; BACKSCATTER; BRIGHTNESS TEMPERATURE; DATA SET; ESTIMATION METHOD; EXPERIMENTAL STUDY; HETEROGENEITY; LAND COVER; MAPPING METHOD; MICROWAVE IMAGERY; RADIOMETER; REMOTE SENSING; SOIL MOISTURE; SPATIAL RESOLUTION; VEGETATION INDEX;

GERMANY;

EID: 84979467974     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2529659     Document Type: Article

References (83)

1. D. Entekhabi et al., "The Soil Moisture Active Passive (SMAP) mission," Proc. IEEE, vol. 98, no. 5, pp. 704-716, May 2010.
2. N. S. Chauhan, S. Miller, and P. Ardanuy, "Spaceborne soil moisture estimation at high resolution: A microwave-optical/IR synergistic approach," Int. J. Remote Sens., vol. 24, pp. 4599-4622, Nov. 2003.
3. O. Merlin et al., "Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3 km and 100 m resolution in Catalunya, Spain," Remote Sens. Environ., vol. 130, pp. 25-38, Mar. 15, 2013.
4. J. Pellenq et al., "A disaggregation scheme for soil moisture based on topography and soil depth," J. Hydrol., vol. 276, no. 4, pp. 112-127, May 15, 2003.
5. N. N. Das et al., "Tests of the SMAP combined radar and radiometer algorithm using airborne field campaign observations and simulated data," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 4, pp. 2018-2028, Apr. 2014.
6. N. N. Das, D. Entekhabi, and E. G. Njoku, "An algorithm for merging SMAP radiometer and radar data for high-resolution soil-moisture retrieval," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1504-1512, May 2011.
7. M. Piles, A. Camps, M. Vall-Ilossera, and M. Talone, "Spatial-resolution enhancement of SMOS data: A deconvolution-based approach," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2182-2192, Jul. 2009.
8. M. Piles et al., "A downscaling approach for SMOS land observations: Evaluation of high-resolution soil moisture maps over the Iberian Peninsula," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 9, pp. 3845-3857, Sep. 2014.
9. X. W. Zhan, P. R. Houser, J. P. Walker, and W. T. Crow, "A method for retrieving high-resolution surface soil moisture from Hydros L-band radiometer and radar observations," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1534-1544, Jun. 2006.
10. A. Colliander et al., "Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development," Remote Sens. Environ., vol. 121, pp. 309-322, Jun. 2012.
11. R. Magagi et al., "Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and preliminary results," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 347-363, Jan. 2013.
12. E. G. Njoku et al., "Observations of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 12, pp. 2659-2673, Dec. 2002.
13. U. Narayan, V. Lakshmi, and T. J. Jackson, "High-resolution change estimation of soil moisture using L-band radiometer and radar observations made during the SMEX02 experiments," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1545-1554, Jun. 2006.
14. U. Narayan, V. Lakshmi, and E. G. Njoku, "Retrieval of soil moisture from Passive and Active L/S band sensor (PALS) observations during the Soil Moisture Experiment in 2002 (SMEX02)," Remote Sens. Environ., vol. 92, no. 4, pp. 483-496, Sep. 30, 2004.
15. R. Bindlish et al., "Combined passive and active microwave observations of soil moisture during CLASIC," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 644-648, Oct. 2009.
16. R. Panciera et al., "The Soil Moisture Active Passive Experiments (SMAPEx): Toward soil moisture retrieval from the SMAP mission," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 1, pp. 490-507, Jan. 2014.
17. X. Wu, J. P. Walker, N. N. Das, R. Panciera, and C. Rüdiger, "Evaluation of the SMAP brightness temperature downscaling algorithm using active-passive microwave observations," Remote Sens. Environ., vol. 155, pp. 210-221, Dec. 2014.
18. H. Vereecken et al., "On the spatio-temporal dynamics of soil moisture at the field scale," J. Hydrol., vol. 516, pp. 76-96, Aug. 2014.
19. X. Han et al., "Joint assimilation of surface temperature and L-band microwave brightness temperature in land data assimilation," Vadose Zone J., vol. 12, no. 3, pp. 1-16, 2013.
20. C. Montzka et al., "Multispectral remotely sensed data in modelling the annual variability of nitrate concentrations in the leachate," Environ. Model. Softw., vol. 23, no. 8, pp. 1070-1081, Aug. 2008.
21. C. Montzka et al., "Modelling the water balance of a mesoscale catchment basin using remotely sensed land cover data," J. Hydrol., vol. 353, no. 3/4, pp. 322-334, May 30, 2008.
22. C. Montzka et al., "Brightness temperature and soil moisture validation at different scales during the SMOS validation campaign in the Rur and Erft catchments, Germany," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 3, pp. 1728-1743, Mar. 2013.
23. X. J. Han, H. J. H. Franssen, C. Montzka, and H. Vereecken, "Soil moisture and soil properties estimation in the community land model with synthetic brightness temperature observations," Water Resources Res., vol. 50, no. 7, pp. 6081-6105, Jul. 2014.
24. H. Bogena et al., "TERENO-Long-term monitoring network for terrestrial environmental research," Hydrol. Wasserbewirtschaftung, vol. 56, pp. 138-143, Jun. 2012.
25. R. Baatz et al., "Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods," J. Hydrol., vol. 516, pp. 231-244, Aug. 4, 2014.
26. W. Qu, H. R. Bogena, J. A. Huisman, and H. Vereecken, "Calibration of a novel low-cost soil water content sensor based on a ring oscillator," Vadose Zone J., vol. 12, no. 2, pp. 0139-0149, May 2013.
27. U. Rosenbaum et al., "Seasonal and event dynamics of spatial soil moisture patterns at the small catchment scale," Water Resources Res., vol. 48, no. 10, Oct. 27, 2012, Art. no. W10544.
28. S. Hasan et al., "Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral data," ISPRS J. Photogramm. Remote Sens., vol. 91, pp. 59-71, May 2014.
29. R. Panciera et al., "The NAFE'05/CoSMOS data set: Toward SMOS soil moisture retrieval, downscaling, and assimilation," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 3, pp. 736-745, Mar. 2008.
30. R. Panciera et al., "Evaluation of the SMOS L-MEB passive microwave soil moisture retrieval algorithm," Remote Sens. Environ., vol. 113, no. 2, pp. 435-444, Feb. 16, 2009.
31. C. Rüdiger, J. P.Walker, and Y. H. Kerr, "On the airborne spatial coverage requirement for microwave satellite validation," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 4, pp. 824-828, Jul. 2011.
32. M. Pause, A. Lausch, M. Bernhardt, J. Hacker, and K. Schulz, "Improving soil moisture data retrieval from airborne L-band radiometer data by considering spatially varying roughness," Can. J. Remote Sens., vol. 40, no. 1, pp. 15-25, 2014.
33. J. P. Walker, E. J. Kim, and A. W. England, "Introduction to the special issue on airborne field campaigns for soil moisture," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 623-624, Oct. 2009.
34. A. Reigber et al., "Very-high-resolution airborne synthetic aperture radar imaging: Signal processing and applications," Proc. IEEE, vol. 101, no. 3, pp. 759-783, Mar. 2013.
35. M. Ali et al., "Estimation and validation of RapidEye-based time-series of leaf area index for winter wheat in the Rur catchment (Germany)," Remote Sens., vol. 7, pp. 2808-2831, 2015.
36. U. Lussem and G. Waldhoff, "Enhanced land use classification of 2013 for the Rur catchment," Collaborative Res. Centre, Berlin Germany, TR32DB, 2014.
37. G. Waldhoff, C. Curdt, D. Hoffmeister, and G. Bareth, "Analysis of multitemporal and multisensor remote sensing data for crop rotation mapping," ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., vol. I-7, pp. 177-182, 2012.
38. K. Rötzer et al., "Catchment scale validation of SMOS and ASCAT soil moisture products using hydrological modeling and temporal stability analysis," J. Hydrol., vol. 519, pp. 934-946, Nov. 2014.
39. J. P. Wigneron et al., "L-band microwave emission of the biosphere (L-MEB) model: Description and calibration against experimental data sets over crop fields," Remote Sens. Environ., vol. 107, no. 4, pp. 639-655, Apr. 30, 2007.
40. B. Aiazzi, L. Alparone, S. Baronti, and A. Garzelli, "Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2300-2312, Oct. 2002.
41. X. Wu, J. P. Walker, C. Rüdiger, and R. Panciera, "Effect of land-cover type on the SMAP active/passive soil moisture downscaling algorithm performance," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 4, pp. 846-850, Apr. 2015.
42. T. Mo, B. J. Choudhury, T. J. Schmugge, J. R. Wang, and T. J. Jackson, "A model for microwave emission from vegetation-covered fields," J. Geophys. Res., Oceans Atmos., vol. 87, pp. 1229-1237, 1982.
43. R. Panciera, J. P. Walker, and O. Merlin, "Improved understanding of soil surface roughness parameterization for L-band passive microwave soil moisture retrieval," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 625-629, Oct. 2009.
44. S. Peischl et al., "Wheat canopy structure and surface roughness effects on multiangle observations at L-band," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1498-1506, May 2012.
45. K. Saleh et al., "Soil moisture retrievals at L-band using a two-step inversion approach (COSMOS/NAFE'05 experiment)," Remote Sens. Environ., vol. 113, no. 6, pp. 1304-1312, Jun. 2009.
46. K. Saleh et al., "Impact of rain interception by vegetation and mulch on the L-band emission of natural grass," Remote Sens. Environ., vol. 101, no. 1, pp. 127-139, Mar. 15, 2006.
47. K. Saleh et al., "Estimates of surface soil moisture under grass covers using L-band radiometry," Remote Sens. Environ., vol. 109, no. 1, pp. 42-53, Jul. 12, 2007.
48. J. P.Wigneron et al., "Evaluating an improved parameterization of the soil emission in L-MEB," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 4, pp. 1177-1189, Apr. 2011.
49. C. Montzka et al., "Estimation of radiative transfer parameters from L-band passive microwave brightness temperatures using advanced data assimilation," Vadose Zone J., vol. 12, pp. 1-17, Aug. 2013.
50. S. Bircher, J. E. Balling, N. Skou, and Y. H. Kerr, "Validation of SMOS brightness temperatures during the HOBE airborne campaign, western Denmark," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1468-1482, May 2012.
51. S. Bircher, N. Skou, and Y. H. Kerr, "Validation of SMOS L1C and L2 products and important parameters of the retrieval algorithm in the Skjern River catchment, western Denmark," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 5, pp. 2969-2985, May 2013.
52. A. Mialon, J. P.Wigneron, P. de Rosnay,M. J. Escorihuela, and Y. H. Kerr, "Evaluating the L-MEB model from long-term microwave measurements over a rough field, SMOSREX 2006," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1458-1467, May 2012.
53. J. P. Grant et al., "Calibration of the L-MEB model over a coniferous and a deciduous forest," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 3, pp. 808-818, Mar. 2008.
54. J. P. Grant et al., "Influence of forest cover fraction on L-band soil moistureretrievalsfromheterogeneouspixelsusingmulti-Angularobservations," Remote Sens. Environ., vol. 114, no. 5, pp. 1026-1037, May 17, 2010.
55. M. Parde, M. Zribi, P. Fanise, and M. Dechambre, "Analysis of RFI issue using the CAROLS L-band experiment," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 3, pp. 1063-1070, Mar. 2011.
56. E. Zakharova et al., "Spatial and temporal variability of biophysical variables in southwestern France from airborne L-band radiometry," Hydrol. Earth Syst. Sci., vol. 16, pp. 1725-1743, 2012.
57. F. Schlenz, J. Fallmann, P. Marzahn, A. Loew, and W. Mauser, "Characterization of rape field microwave emission and implications to surface soil moisture retrievals," Remote Sens., vol. 4, pp. 247-270, Jan. 2012.
58. T. Pellarin et al., "Two-year global simulation of L-band brightness temperatures over land," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 9, pp. 2135-2139, Sep. 2003.
59. T. J. Jackson, "Measuring surface soil-moisture using passive microwave remote-sensing," Hydrol. Process., vol. 7, no. 2, pp. 139-152, Apr.-Jun. 1993.
60. E. G. Njoku and L. Li, "Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 1, pp. 79-93, Jan. 1999.
61. M. Owe, R. de Jeu, and J. Walker, "A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 8, pp. 1643-1654, Aug. 2001.
62. V. L. Mironov, L. G. Kosolapova, and S. V. Fomin, "Physically and mineralogically based spectroscopic dielectric model for moist soils," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2059-2070, Jul. 2009.
63. G. C. Topp, J. L. Davis, and A. P. Annan, "Electromagnetic determination of soil-water content-Measurements in coaxial transmission-lines," Water Resources Res., vol. 16, pp. 574-582, 1980.
64. M. C. Dobson, F. T. Ulaby, M. T. Hallikainen, and M. A. Elrayes, "Microwave dielectric behavior of wet soil. 2. Dielectric mixing models," IEEE Trans. Geosci. Remote Sens., vol. 23, no. 1, pp. 35-46, Jan. 1985.
65. A. Mialon et al., "Comparison of Dobson and Mironov dielectric models in the SMOS soil moisture retrieval algorithm," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 6, pp. 3084-3094, Jun. 2015.
66. T. J. Jackson, "Multiple resolution analysis of L-band brightness temperature for soil moisture," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 1, pp. 151-164, Jan. 2001.
67. T. Jagdhuber, I. Hajnsek, A. Bronstert, and K. P. Papathanassiou, "Soil moisture estimation under low vegetation cover using a multi-Angular polarimetric decomposition," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2201-2215, Apr. 2013.
68. T. Jagdhuber, I. Hajnsek, and K. P. Papathanassiou, "Polarimetric soil moisture retrieval using an iterative generalized hybrid decomposition technique," in Proc. IGARSS, Quebec City, QC, Canada, 2014, pp. 1-4.
69. T. Jagdhuber, I. Hajnsek, and K. P. Papathanassiou, "An iterative, generalized, hybrid decomposition on fully polarimetric SAR data for soil moisture retrieval under vegetation," in Proc. EUSAR, Berlin, Germany, 2014, pp. 1-4.
70. T. Jagdhuber, I. Hajnsek, and K. P. Papathanassiou, "An iterative, generalized hybrid decomposition for soil moisture retrieval under vegetation cover using fully polarimetric SAR," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 8, pp. 3911-3922, Aug. 2015.
71. J. C. Shi, J. Wang, A. Y. Hsu, P. E. O'Neill, and E. T. Engman, "Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 5, pp. 1254-1266, Sep. 1997.
72. Y. Oh, "Robust inversion technique for retrieving soil moisture from multi-polarized backscatter of bare surface," Electron. Lett., vol. 42, pp. 414-415, Mar. 30, 2006.
73. M. Moghaddam, S. Saatchi, and R. H. Cuenca, "Estimating subcanopy soil moisture with radar," J. Geophys. Res., Atmos., vol. 105, pp. 14 899-14 911, Jun. 16, 2000.
74. S. B. Kim et al., "Soil moisture retrieval using time-series radar observations over bare surfaces," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1853-1863, May 2012.
75. Y. Kim and J. J. van Zyl, "A time-series approach to estimate soil moisture using polarimetric radar data," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2519-2527, Aug. 2009.
76. W. Wagner, G. Lemoine, and H. Rott, "A method for estimating soil moisture from ERS scatterometer and soil data," Remote Sens. Environ., vol. 70, no. 2, pp. 191-207, Nov. 1999.
77. M. Piles, K. A.McColl, D. Entekhabi, N. Das, and M. Pablos, "Sensitivity of Aquarius active and passive measurements temporal covariability to land surface characteristics," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 8, pp. 4700-4711, Aug. 2015.
78. H. Vereecken, L.Weihermüller, F. Jonard, and C.Montzka, "Characterization of crop canopies and water stress related phenomena using microwave remote sensing methods: A review," Vadose Zone J., vol. 11, pp. 1-23, 2012.
79. I. Gherboudj et al., "Validation of SMOS data over agricultural and boreal forest areas in Canada," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1623-1635, May 2012.
80. T. J. Jackson et al., "Validation of Soil Moisture and Ocean Salinity (SMOS) soil moisture over watershed networks in the U.S.," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1530-1543, May 2012.
81. N. Sanchez, J. Martinez-Fernandez, A. Scaini, and C. Perez-Gutierrez, "Validation of the SMOS L2 soil moisture data in the REMEDHUS network (Spain)," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 5, pp. 1602-1611, May 2012.
82. S. Rudolph et al., "Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements," Geoderma, vol. 241/242, pp. 262-271, Mar. 2015.
83. T. Jagdhuber et al., "Physically-based modelling of the SMAP active-passive soil moisture algorithm," Remote Sens. Environ., submitted for publication.