Radar mapping of surface soil moisture

Journal of Hydrology

Volumn 184, Issue 1-2, 1996, Pages 57-84

  Ulaby, Fawwaz T ^a   Dubois, Pascale C ^b   Van Zyl, Jakob ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROLOGY; MATHEMATICAL MODELS; MOISTURE; RADAR IMAGING; SOILS; SURFACE WATERS; SYNTHETIC APERTURE RADAR; VOLUMETRIC ANALYSIS;

RADAR MAPPING; SURFACE SOIL MOISTURE;

REMOTE SENSING;

RADAR MAPPING; SOIL MOISTURE; VEGETATION;

EID: 0030251409     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/0022-1694(95)02968-0     Document Type: Article

References (23)

1. Curlander, J.C. and McDonough, R.N., 1991. Synthetic Aperture Radar: Systems and Signal Processing. Wiley, New York.
2. Dobson, M.C. and Ulaby, F.T. 1986. Preliminary evaluation of the SIR-B response to soil moisture, surface roughness, and crop canopy cover. IEEE Trans. Geosci. Remote Sensing, GE-24(4): 517-526.
3. Dobson, M.C., Ulaby, F.T. and Pierce, L.E., 1995. Land-cover classification and estimation of terrain attributes using Synthetic Aperture Radar. Remote Sensing Environ., ISLSCP Special Issue, 51: 199-214.
4. Dubois, P.C., van Zyl, J. and Engman, T., 1995. Measuring soil moisture with imaging radars. IEEE Trans. Geosci. Remote Sesing, 33: 915-926.
5. Elachi, C., 1988. Spaceborne Radar Remote Sensing: Applications and Techniques. IEEE Press, New York.
6. Jackson, T.J. and Le Vine, D.E., 1996. Mapping surface soil moisture using an aircraft-based passive microwave instrument: algorithm and example. J. Hydrol., 184: 85-99.
7. Jordan, R.L., Huneycutt, B.L. and Werner, M., 1991. The SIR-C/X-SAR Synthetic Aperture Radar System. IEEE Proc., 79(6): pp. 827-838.
8. Kong, J.A., Schwartz, A.A., Yueh, H.A., Novak, L.M. and Shin, R.T., 1987. Identification of terrain cover using the optimum polarimetric classifier. J. Electromagn. Wave Appl., 2(2): 171.
9. Lim, H.H., Schwartz, A.A., Yueh, H.A., Kong, J.A., Shin, R.T. and van Zyl, J.J., 1989. Classification of earth terrain, using polarimetric synthetic aperture radar images. J. Geophys. Res., 94(B6): 7049.
10. Lin, Q. and Allebach, J.P., 1990. Combating speckle in SAR images: vector filtering and sequential classification based on a multiplicative noise model. IEEE Trans. Geosci. Remote Sensing, 28(4): 634.
11. Lozano-Garcia, D.F. and Hoffer, R.M., 1993. Synergistic effects of combined Landsat-TM and SIR-B data for forest resources assessment. Int. J. Remote Sensing, 14: 26-77.
12. Oh, Y., Sarabandi, K. and Ulaby, F.T., 1992. An empirical model and an inversion technique for radar scattering from bare soil surfaces. IEEE Trans. Geosci. Remote Sensing, 30: 370-382.
13. Pierce, L.E., Ulaby, F.T., Sarabandi, K. and Dobson, M.C., 1994. Knowledge-based classification of polarimetric SAR images. IEEE Trans. Geoscience Remote Sensing, 32: 1081-1086.
14. Rignot, E. and Chellappa, R., 1992, Segmentation of polarimetric synthetic aperture radar data. IEEE Trans. Image Proc., 1: 281-300.
15. Ulaby, F.T. and Elachi, C. (Editors), 1990. Radar Polarimetry for Geoscience Applications. Artech House, Norwood, MA.
16. Ulaby, F.T., Moore, M.K. and Fung, A.K., 1982. Microwave Remote Sensing, Active and Passive, Vol. 2. Artech House, Norwood, MA.
17. Ulaby, F.T., Moore, M.K. and Fung, A.K., 1986. Microwave Remote Sensing, Active and Passive, Vol. 3. Artech House, Norwood, MA.
18. Ulaby, F.T., Sarabandi, K., McDonald, K., Whitt, M. and Dobson, M.C., 1990. Michigan Microwave Canopy Scattering Model (MIMICS). Int. J. Remote Sensing, 11(7): 1223-1253.
19. Van Zyl, J.J. and Burnette, C.F., 1992. Bayesian classification of polarimetric SAR images using adaptive a priori probabilities. Int. J. Remote Sensing, 13(5): 835.
20. Van Zyl, J.J., Carande, R., Lou, Y., Miller, T. and Wheeler, K., 1992. The NASA/JPL Three Frequency Polarimetric AIRSAR System. IGARSS '92 Proceedings. IEEE, Houston, pp. 649-650.
21. Wong, Y.-F. and Posner, E.C., 1993. A new clustering algorithm applicable to multispectral and polarimetric SAR images. IEEE Trans. Geosci. Remote Sensing, 31(3): 634.
22. Wu, S.T. and Sader, S.A., 1987. Multipolarization SAR data for surface feature delineation and forest vegetation classification. IEEE Trans. Geosci. Remote Sensing, 25(1): 67.
23. Yueh, H.A., Schwartz, A.A., Kong, J.A., Shin, R.T. and Novak, L.M., 1988. Optimal classification of terrain cover using normalized polarimetric data. J. Geophys. Res., 93(15): 261.