volume | PIER Journals

Abstract

One of the most important functions of radar remote sensing is to retrieve the soil moisture and surface parameters where surface parameters generally includes soil surface roughness and texture of soil (i.e.,% of coarse sand,silt and clay). Variation of soil moisture and surface parameters changes the soil permittivity, and affects the observation of the radar wave scattering (σ0). How to invert the moisture and surface parameters from radar data has been one of the most interesting problems to be resolved. Still,v ery few reported work is available to retrieve the soil textures with radar data. Therefore,in present paper an attempt has been made to retrieve the soil textures with soil moisture and surface roughness from Synthetic Aperture Radar (SAR) data. In this case number of variables are more and it is difficult to invert and retrieve the various parameters. To overcome this difficulty,an approach based on Genetic Algorithm (GA) with inclusion of empirical modeling has been proposed to retrieve the soil moisture,roughness and soil texture with ERS-2 (European Remote Sensing) SAR (Synthetic Aperture Radar) data of Haridwar region of India. The retrieved surface parameters and moisture content with proposed approach show quite good agreement with observed values of soil moisture and surface parameters. This study infers that modeling with GA has great potential to retrieve several variables simultaneously with good results.

1. Ulaby, F. T., R. K. Moore, and A. K. Fung, Microwave Remote Sensing—Active and Passive, Vol. 1 and 3, Addison Wesley, 1982.

2. Formaggio, A. R.M. G. Gameiro, and J. C. N. Epiphanio, "Soil erosion modeling using USLE: two approaches for evaluating the parameters L'' and S''," Symposium of Geoscience and Remote Sensing, Vol. 2, 856-858, 1998.

3. Oh, Y. and C. V. Kay, "Conditions for precise measurement of soil surface roughness," IEEE Trans. on Geo. Sci. and Rem. Sens., Vol. 36, No. 2, 691-695, 1998.
doi:10.1109/36.662751 Google Scholar

4. Wegmuller, U., C. Matzler, R. Huppi, and E. Schanda, "Activeandpassviemicrowavesignaturecatalogenbaresoil(2-12GHz)," IEEE Trans. on Geosic. and Rem. Sens., Vol. 13, No. 3, 698-702, 1994.
doi:10.1109/36.297987 Google Scholar

5. Dubois, P . J., V. Zyl, and T. Engman, "Measuring soil moisture with imaging radar," IEEE Trans. on Geo. and Rem. Sens., Vol. 33, No. 4, 915-926, 1995.
doi:10.1109/36.406677 Google Scholar

6. Bolten, J. D., V. Lakshmi, and E. G. Njoku, "Soil moisture retrieval using the passive/active l-and s-band radar/radiometer," IEEE Trans. Geosc. Rem. Sens., Vol. 41, No. 12, 2792-280, 2003.
doi:10.1109/TGRS.2003.815401 Google Scholar

7. Fung, A. K., Microwave Scattering and Emission Models and their Applications, 573, 1994.

8. Singh, D., Y. Yamaguchi, H. Yamada, and K. P. Singh, "Resp onse of microwave on bare soil moisture and surface roughness by Xband scatterometer," IEICE Trans. Commun. E, Vol. 83-B, No. 9, 2038-2043, 2000. Google Scholar

9. Singh, D., K. P. Singh, I. Herlin, and S. K. Sharma, "Ground based Scatterometer measurements of periodic surface roughness and correlation length for remote sensing," Advances in Space Research, Vol. 32, No. 11, 2281-2286, 2003.
doi:10.1016/S0273-1177(03)90555-2 Google Scholar

10. Singh, D., "A simplistic incidence angle approach to retrieve the soil moisture and surface roughness at X-band," IEEE Trans. on Geo. and Rems., Vol. 43, No. 11, 2606-2611, 2005.
doi:10.1109/TGRS.2005.856634 Google Scholar

11. Singh, D., "Polarization discrimination ratio approach to retrieve bare soil moisture at X-band," Proc. of IEEE, 408-411, 2005.

12. Fung, A. K., U. Li, and K. S. Chen, "Bac kscattering from a randomly rough dielectric surface," IEEE Trans. on Geo. and Rem. Sens., Vol. 30, 356-369, 1992.
doi:10.1109/36.134085 Google Scholar

13. Chanzy, B.B. Molineaux, and M. Zribi, "Influence of surface roughness frequency components on radar backscattering: Consequences on roughness sampling," Proc. of IEEE, 1414-1416, 2003.

14. Oh, Y., K. Sarabandi, and F. T. Ulaby, "An empirical model an inversion technique for radar scattering from bare soil surfaces," IEEE Trans. on Geo. and Rem. Sens., Vol. 30, No. 2, 370-381, 1992.
doi:10.1109/36.134086 Google Scholar

15. Paloscia, S., G. Macelloni, E. Santi, and T. Koike, "A multifrequency algorithm for the retrieval of soil moisture on a large scale using microwave data from SMMR and SSM/I satellites," IEEE Trans. on Geo. and Rem. Sens., Vol. 39, No. 8, 1655-1661, 2001.
doi:10.1109/36.942543 Google Scholar

16. Oho, Y., "Quan titative retrieval of soil moisture content and surface roughness from multipolarized radar observations of bare soil surfaces," IEEE Trans. on Geo. and Rem. Sens., Vol. 42, No. 3, 596-601, 2004.
doi:10.1109/TGRS.2003.821065 Google Scholar

17. Satalino, G.F. Mattia, G. Pasquariello, and L. Dente, "Soil moisture retrieval from ASAR measurements over natural surfaces with a large roughness variability," Proc. of IEEE, 396-399, 2005.

18. Zhao, K. G.J. C. Shi, L. X. Zhang, L. M. Jiang, Z. J. Zhang, J. Qin, Y. J. Yao, and J. C. Hu, "Retriev al of bare soil surface parameters from simulated data using neural networks combined with IEM," Proc. of IEEE, 3881-3883, 2003.

19. Jin, Y. Q. and Y. Wang, "A novel genetic algorithm to retrieve surface roughness and wetness from angular back-scattering," Proc. IGARSS IEEE, 2000.

20. Huang, X. and Y. Q. Jin, "A simple method to estimate the soil wetness and surface roughness by using active/passive microwave data," Remote Sensing of Environment, Vol. 53, 212-214, 1995.
doi:10.1016/0034-4257(95)00118-K Google Scholar

21. Haupt, R. L., "An introduction to genetic algorithms for electromagnetic," Antenna and Propagation Magazine, Vol. 37, No. 2, 7-15, 1995.
doi:10.1109/74.382334 Google Scholar

22. Attema, E. and F. T. Ulaby, "V egetation model as water cloud," Radio Sci., Vol. 13, 357-364, 1978.
doi:10.1029/RS013i002p00357 Google Scholar

23. Susan, M., A. Vidal, D. Troufleau, Y. Ionue, and T. A. Mitchell, "Ku-and C-band SAR for discriminating agricultural crop and soil conditions," IEEE Trans Geosci Remote Sensing, Vol. 36, No. 1, 265-272, 1998.
doi:10.1109/36.655335 Google Scholar

24. Hallikainen, M. T., F. T., Ulab y, M. C. Dobson, M. A. El- Rayes, and L.-K.Wu, "Micro wave dielectric behavior of wet soil— part 1; Empirical models and experimental observations," IEEE Transactions on Geoscience and Remote Sensing, Vol. 23, No. 1, 25-34, 1985.
doi:10.1109/TGRS.1985.289497 Google Scholar

25. Engman, E. T. and N. Chauhan, "Status of microwave soil moisture measurements with remote sensing," Rem. Sens. of Environ., Vol. 51, 189-198, 1995.
doi:10.1016/0034-4257(94)00074-W Google Scholar

26. Ho, M., "Scattering of electromagnetic waves from vibrating perfect surface: simulation using relativistic boundary conditions," J. of Electromagn. Waves and Appl., Vol. 20, No. 4, 425-433, 2006.
doi:10.1163/156939306776117108 Google Scholar

27. Storvold, R., E. Malnes, Y. Larsen, and K. A. Hogda, "SAR remote sensing of snow parameter in NORWEGIAN areas — current status and future perspective," J. of Electromagn. Waves and Appl., Vol. 20, No. 13, 1751-1759, 2006.
doi:10.1163/156939306779292192 Google Scholar

28. Wang, C. J., B. Y. Wen, , Z. G. Ma, W. D. Yan, and X. J. Huang, "Measurement of river surface currents with UHF FMCW Radar systems," J. of Electromagn. Waves and Appl., Vol. 21, No. 3, 375-386, 2007.
doi:10.1163/156939307779367350 Google Scholar

29. Arslan, A. N., J. Pulliainen, and M. Hallikainen, "Observ ations of L-and C-band backscatter and a semi-empirical model approach from forest-snow-ground system," Progress In Electromagnetics Research, Vol. 56, 263-281, 2006.
doi:10.2528/PIER05062701 Google Scholar

30. Cocheril, Y. and R. Vauzelle, "A new ray-tracing based wave propagation model including rough surfaces scattering," Progress In Electromagnetics Research, Vol. 75, 357-381, 2007.
doi:10.2528/PIER07061202 Google Scholar

31. Lim, K.-S.C.-P . Tan, J.-Y. Koay, V.-C. Koo, H.-T. Ewe, Y.- C. Lo, and A. Ali, "Multitemp oral C-band radar measurement on rice fields," Progress In Electromagnetics Research Symposium, 26-30, 2007.

32. Tian, Y. B., "Ultra conveniently finding multiple solutions of complex transcendental equations based on genetic algorithm," J. of Electromagn. Waves and Appl., Vol. 20, No. 4, 475-488, 2006.
doi:10.1163/156939306776117090 Google Scholar

33. Fabbro, V., C. Bourlier, and P. F. Combes, "Forward propagation modeling above Gaussian rough surfaces by the parabolic wave equation: Introduction of the shadowing effect," Progress In Electromagnetics Research, Vol. 58, 243-269, 2006.
doi:10.2528/PIER05090101 Google Scholar

34. Chen, K. S., A. K. Fung, J. C. Shi, and H. W. Lee, "Interaction of backscattering mechanismds from non Gaussian correlated random rough surfaces," J. of Electromagn. Waves and Appl., Vol. 20, No. 1, 105-118, 2006.
doi:10.1163/156939306775777404 Google Scholar

35. Li, Z.-X., "Modelling the passive microwave remote sensing of wet snow," Progress In Electromagnetics Research, Vol. 62, 143-164, 2006.
doi:10.2528/PIER05102402 Google Scholar

Dr. Dharmendra Singh

Mr. Asutosh Kathpalia