Vol. 77
Latest Volume
All Volumes
PIER 179 [2024] PIER 178 [2023] PIER 177 [2023] PIER 176 [2023] PIER 175 [2022] PIER 174 [2022] PIER 173 [2022] PIER 172 [2021] PIER 171 [2021] PIER 170 [2021] PIER 169 [2020] PIER 168 [2020] PIER 167 [2020] PIER 166 [2019] PIER 165 [2019] PIER 164 [2019] PIER 163 [2018] PIER 162 [2018] PIER 161 [2018] PIER 160 [2017] PIER 159 [2017] PIER 158 [2017] PIER 157 [2016] PIER 156 [2016] PIER 155 [2016] PIER 154 [2015] PIER 153 [2015] PIER 152 [2015] PIER 151 [2015] PIER 150 [2015] PIER 149 [2014] PIER 148 [2014] PIER 147 [2014] PIER 146 [2014] PIER 145 [2014] PIER 144 [2014] PIER 143 [2013] PIER 142 [2013] PIER 141 [2013] PIER 140 [2013] PIER 139 [2013] PIER 138 [2013] PIER 137 [2013] PIER 136 [2013] PIER 135 [2013] PIER 134 [2013] PIER 133 [2013] PIER 132 [2012] PIER 131 [2012] PIER 130 [2012] PIER 129 [2012] PIER 128 [2012] PIER 127 [2012] PIER 126 [2012] PIER 125 [2012] PIER 124 [2012] PIER 123 [2012] PIER 122 [2012] PIER 121 [2011] PIER 120 [2011] PIER 119 [2011] PIER 118 [2011] PIER 117 [2011] PIER 116 [2011] PIER 115 [2011] PIER 114 [2011] PIER 113 [2011] PIER 112 [2011] PIER 111 [2011] PIER 110 [2010] PIER 109 [2010] PIER 108 [2010] PIER 107 [2010] PIER 106 [2010] PIER 105 [2010] PIER 104 [2010] PIER 103 [2010] PIER 102 [2010] PIER 101 [2010] PIER 100 [2010] PIER 99 [2009] PIER 98 [2009] PIER 97 [2009] PIER 96 [2009] PIER 95 [2009] PIER 94 [2009] PIER 93 [2009] PIER 92 [2009] PIER 91 [2009] PIER 90 [2009] PIER 89 [2009] PIER 88 [2008] PIER 87 [2008] PIER 86 [2008] PIER 85 [2008] PIER 84 [2008] PIER 83 [2008] PIER 82 [2008] PIER 81 [2008] PIER 80 [2008] PIER 79 [2008] PIER 78 [2008] PIER 77 [2007] PIER 76 [2007] PIER 75 [2007] PIER 74 [2007] PIER 73 [2007] PIER 72 [2007] PIER 71 [2007] PIER 70 [2007] PIER 69 [2007] PIER 68 [2007] PIER 67 [2007] PIER 66 [2006] PIER 65 [2006] PIER 64 [2006] PIER 63 [2006] PIER 62 [2006] PIER 61 [2006] PIER 60 [2006] PIER 59 [2006] PIER 58 [2006] PIER 57 [2006] PIER 56 [2006] PIER 55 [2005] PIER 54 [2005] PIER 53 [2005] PIER 52 [2005] PIER 51 [2005] PIER 50 [2005] PIER 49 [2004] PIER 48 [2004] PIER 47 [2004] PIER 46 [2004] PIER 45 [2004] PIER 44 [2004] PIER 43 [2003] PIER 42 [2003] PIER 41 [2003] PIER 40 [2003] PIER 39 [2003] PIER 38 [2002] PIER 37 [2002] PIER 36 [2002] PIER 35 [2002] PIER 34 [2001] PIER 33 [2001] PIER 32 [2001] PIER 31 [2001] PIER 30 [2001] PIER 29 [2000] PIER 28 [2000] PIER 27 [2000] PIER 26 [2000] PIER 25 [2000] PIER 24 [1999] PIER 23 [1999] PIER 22 [1999] PIER 21 [1999] PIER 20 [1998] PIER 19 [1998] PIER 18 [1998] PIER 17 [1997] PIER 16 [1997] PIER 15 [1997] PIER 14 [1996] PIER 13 [1996] PIER 12 [1996] PIER 11 [1995] PIER 10 [1995] PIER 09 [1994] PIER 08 [1994] PIER 07 [1993] PIER 06 [1992] PIER 05 [1991] PIER 04 [1991] PIER 03 [1990] PIER 02 [1990] PIER 01 [1989]
2007-08-20
An Efficient Modeling with GA Approach to Retrieve Soil Texture, Moisture and Roughness from ERS-2 SAR Data
By
, Vol. 77, 121-136, 2007
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.
Citation
Dharmendra Singh, and Asutosh Kathpalia, "An Efficient Modeling with GA Approach to Retrieve Soil Texture, Moisture and Roughness from ERS-2 SAR Data," , Vol. 77, 121-136, 2007.
doi:10.2528/PIER07071803
References

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

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

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

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

7. Fung, A. K., Microwave Scattering and Emission Models and their Applications, 573, Artec h House, 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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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