Soil moisture estimation over vegetated terrains using multitemporal remote sensing data

Remote Sensing of Environment

Volumn 114, Issue 2, 2010, Pages 440-448

  Pierdicca, Nazzareno ^a   Pulvirenti, Luca ^a   Bignami, Christian ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b ISTITUTO NAZIONALE DI GEOFISICA E VULCANOLOGIA   (Italy)

Author keywords

Multitemporal; Soil moisture; Synthetic aperture radar; Vegetated areas

Indexed keywords

BACKSCATTERING COEFFICIENTS; BAYESIAN; INITIAL TIME; INVERSION SCHEME; MAXIMUM POSTERIOR PROBABILITY; MULTI-TEMPORAL REMOTE SENSING; MULTITEMPORAL; OPTICAL IMAGE; RADAR DATA; RADAR OBSERVATIONS; RETRIEVAL ALGORITHMS; SOIL CHARACTERISTICS; SOIL CONDITIONS; SOIL MOISTURE CONTENT; SOIL MOISTURE ESTIMATION; SOIL MOISTURE RETRIEVALS; VEGETATION EFFECTS;

BACKSCATTERING; BIOMASS; GEOLOGIC MODELS; GEOMETRICAL OPTICS; GROUNDWATER; IMAGE CLASSIFICATION; IMAGING SYSTEMS; MOISTURE DETERMINATION; PERMITTIVITY; PHOTOACOUSTIC EFFECT; RADAR; RADAR ANTENNAS; REMOTE SENSING; SOIL MOISTURE; SOIL SURVEYS; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES; VEGETATION;

RADAR MEASUREMENT;

ALGORITHM; BACKSCATTER; BAYESIAN ANALYSIS; BIOMASS; PERFORMANCE ASSESSMENT; RADAR IMAGERY; REMOTE SENSING; SOIL MOISTURE; SYNTHETIC APERTURE RADAR; TERRAIN;

EID: 71349087629     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2009.10.001     Document Type: Article

References (37)

1. Attema E.P.W., and Ulaby F.T. Vegetation modeled as a water cloud. Radio Science 13 (1978) 357-364
2. Baghdadi N., Gherboudj I., Zribi M., Sahebi M., King C., and Bonn F. Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements. International Journal of Remote Sensing 25 (2004) 3593-3623
3. Bindlish R., and Baros A.P. Multifrequency soil moisture inversion from SAR measurements with the use of IEM. Remote Sensing of Environment 71 (2000) 67-88
4. Bindlish R., and Baros A.P. Parameterization of vegetation backscatter in radar-based, soil moisture estimation. Remote Sensing of Environment 76 (2001) 130-137
5. Bracaglia M., Ferrazzoli P., and Guerriero L. A fully polarimetric multiple scattering model for crops. Remote Sensing of Environment 54 (1995) 170-179
6. Chen K.S., Tzong-Dar Wu., Tsay M.-K., and Fung A.K. A note on the multiple scattering in an IEM model. IEEE Transactions on Geoscience and Remote Sensing 38 (2000) 249-256
7. Chen K.S., Wu T.-D., Tsang L., Li Q., Shi J., and Fung A.K. Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations. IEEE Transactions on Geoscience and Remote Sensing 41 (2003) 90-101
8. Cosh M.H., Jackson T.J., Bindlish R., and Prueger J.H. Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates. Remote Sensing of Environment 92 (2004) 427-435
9. Del Frate F., Ferrazzoli P., Guerriero L., Strozzi T., and Wegmuller U. Wheat cycle monitoring using radar data and a neural network trained by a model. IEEE Transactions on Geoscience and Remote Sensing 42 (2004) 35-44
10. De Roo R.D., Du Y., Ulaby F.T., and Dobson M.C. A semi-empirical backscattering model at L-band and C-band for a soybean canopy with soil moisture inversion. IEEE Transactions on Geoscience and Remote Sensing 39 (2001) 864-872
11. Dubois P.C., van Zyl J., and Engman T. Measuring soil moisture with imaging radars. IEEE Transactions on Geoscience and Remote Sensing 33 (1995) 915-926
12. Eom H.J., and Fung A.K. A scatter model for vegetation up to Ku band. Remote Sensing of Environment 19 (1984) 139-149
13. Frison P.L., Mougin E., and Hiernaux P. Observations and interpretation of seasonal ERS-1 wind scatterometer data over Northern Sahel (Mali). Remote Sensing of Environment 63 (1998) 233-242
14. Fung A.K. Microwave scattering and emission models and their applications (1994), Artech House, London
15. Fung A.K., and Ulaby F.T. A scatter model for leafy vegetation. IEEE Transactions on Geosciences and Remote Sensing 16 (1978) 281-286
16. Haddad Z.S., Dubois P., and Van Zyl J.J. Bayesian estimation of soil parameters from radar backscatter data. IEEE Transactions on Geoscience and Remote Sensin 34 (1996) 76-81
17. Hsieh C.Y., Fung A.K., Nesti G., Sieber A.J., and Coppo P. A further study of the IEM surface scattering model. IEEE Transactions on Geoscience and Remote Sensing 35 (1997) 901-909
18. Jackson T.J., Chen D., Cosh M., Li F., Anderson M., Walthall C., et al. Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans. Remote Sensing of Environment 92 (2004) 475-482
19. Karam M.A., and Fung A.K. Electromagnetic scattering from a layer of finite length, randomly oriented, dielectric circular cylinders over a rough interface with application to vegetation. International Journal of Remote Sensing 9 (1988) 1109-1134
20. Lee J.S., Grunes M.R., and Kwok R. Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution. International Journal of Remote Sensing 15 (1994) 2299-2311
21. Mattia F., Satalino G., Dente L., and Pasquariello G. Using a priori information to improve soil moisture retrieval from ENVISAT ASAR AP data in semiarid regions. IEEE Transactions on Geoscience and Remote Sensing 44 (2006) 900-912
22. Mattia F., Satalino G., Pauwels V.R.N., and Loew A. Soil moisture retrieval through a merging of multi-temporal L-band SAR data and hydrologic modeling. Hydrology and Earth System Sciences 13 (2009) 343-356
23. Moran M.A., Hymer D.C., Qi J., and Sano E.E. Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland. Agricultural and Forest Meteorology 105 (2000) 69-80
24. Notarnicola C., Angiulli M., and Posa F. Use of radar and optical remotely sensed data for soil moisture retrieval over vegetated areas. IEEE Transactions on Geoscience and Remote Sensing 44 (2006) 925-935
25. Oh Y., Sarabandi K., and Ulaby F.T. Semi-empirical model of the ensemble-averaged differential Mueller matrix for microwave backscattering from bare soil surfaces. IEEE Transactions on Geoscience and Remote Sensing 40 (2002) 1348-1355
26. Paris J. The effect of leaf size on the microwave backscattering by corn. Remote Sensing of Environment 19 (1986) 81-95
27. Pierdicca N., Castracane P., and Pulvirenti L. Inversion of electromagnetic models for bare soil parameter estimation from multifrequency polarimetric SAR data. Sensors 8 (2008) 8181-8200
28. Pierdicca N., Pulvirenti L., Ticconi F., and Brogioni M. Radar bistatic configurations for soil moisture retrieval: A simulation study. IEEE Transactions on Geoscience and Remote Sensing 46 (2008) 3252-3264
29. Rahman M.M., Moran M.S., Thoma D.P., Bryant R., Holifield Collins C.D., Jackson T., et al. Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data. Remote Sensing of Environment 112 (2008) 391-402
30. Thoma D.P., Moran M.S., Bryant R., Rahman M.M., Holifield Collins C.D., Keefer T.O., et al. Appropriate scale of soil moisture retrieval from high resolution radar imagery for bare and minimally vegetated soils. Remote Sensing of Environment 112 (2008) 403-414
31. Tsang L., and Kong J. Application of strong fluctuation random medium theory to scattering from vegetation-like half space. IEEE Transactions on Geosciences and Remote Sensing 19 (1981) 62-69
32. Tsang L., Long J.A., and Shin R.T. Theory of microwave remote sensing (1985), Wiley, New York
33. Ulaby F.T., Allen C.T., Eger G., and Kanemasu E. Relating microwave backscattering coefficient to leaf area index. Remote Sensing of Environment 14 (1984) 113-133
34. Ulaby F.T., Moore R.K., and Fung A.K. Microwave remote sensing: Active and passive. From theory to applications Vol. 3 (1986), Artech House, Boston, London
35. Ulaby F.T., Sarabandi K., McDonald K., Whitt M., and Dobson M.C. Michigan microwave canopy scattering model. International Journal of Remote Sensing 11 (1990) 1223-1253
36. Wickel A.J., Jackson T.J., and Wood E.F. Multitemporal monitoring of soil moisture with RADARSAT SAR during the 1997 Southern Great Plains hydrology experiment. International Journal of Remote Sensing 22 (2001) 1571-1583
37. Zribi M., Baghdadi N., Holah N., and Fafin O. New methodology for soil surface moisture estimation and its application to ENVISAT-ASAR multi-incidence data inversion. Remote Sensing of Environment 96 (2005) 485-496