Microwave Scattering for Soil Texture at X-Band and Its Retrieval Using Genetic Algorithm

Abstract

In the present paper, we have studied the effect of soil textures, i.e., sand, silt and clay on microwave scattering at X-band (10 GHz) at various incidence angles and like polarizations (i.e., Horizontal-Horizontal; HH-, Vertical-Vertical; VV-). We have proposed a retrieval technique based on Genetic Algorithm (GA) to retrieve soil texture. For this purpose, ten types of soil mixtures having different percentage of sand, silt and clay have been analyzed. The observations were carried out by ingeniously assembled X-band scatterometer. A good agreement has been noticed between estimated and observed soil texture. Study infers that soil texture is quite sensitive to radar scattering and it is possible to retrieve soil texture with radar/scatterometer data with good accuracy and this type of retrieved results can be helpful to predict soil strength as well as soil erosion of the particular area.

Share and Cite:

Tiwari, R. , Singh, R. , Chauhan, D. , Singh, O. , Prakash, R. and Singh, D. (2014) Microwave Scattering for Soil Texture at X-Band and Its Retrieval Using Genetic Algorithm. Advances in Remote Sensing, 3, 120-127. doi: 10.4236/ars.2014.33010.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Engman, E.T. and Chauhan, N. (1995) Status of Microwave Soil Moisture Measurements with Remote Sensing. Remote Sensing of Environment, 51, 189-198.
http://dx.doi.org/10.1016/0034-4257(94)00074-W
[2] Ulaby, F.T., Moore, R.K. and Fung, A.K. (1982) Microwave Remote Sensing-Active and Passive, Vol. II. Artech House, Norwood, 921-949.
[3] Li, K.F. and Chen, K.S. (1992) Backscattering from a Randomly Rough Dielectric Surface. IEEE Transactions on Geoscience and Remote Sensing, 30, 356-369. http://dx.doi.org/10.1109/36.134085
[4] Dubois, P., Van Zyl, J. and Engman, T. (1995) Measuring Soil Moisture with Imaging Radars. IEEE Transactions on Geoscience and Remote Sensing, 33, 915-926. http://dx.doi.org/10.1109/36.406677
[5] Formaggio, A.R., Gameiro, M.G. and Epiphanio, J.C.N. (1998) Soil erosion Modeling Using “USLE”: Two Approaches for Evaluating the Parameters “l” and “s”. Symposium of Geoscience and Remote Sensing, Seattle, 6-10 July 1998, 856-858.
[6] Yang, S.T. and Zhu, Q. (2003) A Model of Intelligent Interpreting Soil Erosion Based on Geographical Knowledge. IEEE Transactions on Geoscience and Remote Sensing, 4, 2468-2470.
[7] Brown, R.B. (2003) Soil Texture. University of Florida, IFAS Extension. http://edis.ifas.ufl.edu/SS169
[8] Prakash, R., Singh, D. and Pathak, N.P. (2012) A Fusion Approach to Retrieve Soil Moisture with SAR and Optical Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 196-206. http://dx.doi.org/10.1109/JSTARS.2011.2169236
[9] Shen, X., Mao, K., Quin, Q., Hong, Y. and Zhang, G. (2013) Bare Surface Soil Moisture Estimation Using Double Angle and Dual Polarization L-Band Radar Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 3931-3942. http://dx.doi.org/10.1109/TGRS.2012.2228209
[10] McNairn, H., Merzouki, A., Pacheco, A. and Fitzmaurice, J. (2012) Monitoring Soil Moisture to Support Rish Reduction for the Agriculture Sector Using RADARSAT-2. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 824-834.
http://dx.doi.org/10.1109/JSTARS.2012.2192416
[11] Aubert, M., Baghdadi, N.N., Zribi, M., Ose, K., El Hajj, M., Vaudour, E. and Gonzalez-Sosa, E. (2013) Toward an Operational Bare Soil Moisture Mapping Using TerraSAR-X Data Acquired over Agricultural Areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6, 900-916. http://dx.doi.org/10.1109/JSTARS.2012.2220124
[12] Singh, D. (2005) A Simplistic Incidence Angle Approach to Retrieve the Soil Moisture and Surface Roughness at X-Band. IEEE Transactions on Geoscience and Remote Sensing, 43, 2606-2611. http://dx.doi.org/10.1109/TGRS.2005.856634
[13] Jin, Y. and Wang, Y. (2000) A Novel Genetic Algorithm to Retrieve Surface Roughness and Wetness from Angular Back-Scattering. IEEE Transactions on Geoscience and Remote Sensing, 5, 2021-2023.
[14] Singh, D. and Dubey, V. (2007) Microwave Bistatic Polarization Measurements for Retrieval of Soil Moisture Using an Incidence Angle Approach. Journal of Geophysics and Engineering, 4, 75-82. http://dx.doi.org/10.1088/1742-2132/4/1/009
[15] Singh, D. (2005) Polarization Discrimination Ratio Approach to Retrieve Bare Soil Moisture at X-Band. IEEE International Geoscience and Remote Sensing Symposium Proceedings, Seoul, 25-29 July 2005, 408-411.
[16] Prakash, R., Singh, D. and Pathak, N.P. (2009) Microwave Specular Scattering Response of Soil Texture at X-Band. Advances in Space Research, 44, 801-814.
http://dx.doi.org/10.1016/j.asr.2009.05.016
[17] Prakash, R., Singh, D. and Pathak, N.P. (2010) The Effect of Soil Texture on Soil Moisture Retrieval for Specular Scattering at C-Band. Progress in Electromagnetic Research, 108, 177-204.
http://dx.doi.org/10.2528/PIER10050403
[18] Mittal, G. and Singh, D. (2010) Critical Analysis of Microwave Scattering Response on Roughness Parameter and Moisture Content for Periodic Rough Surfaces and Its Retrieval. Progress in Electromagnetics Research, 100, 129-152. http://dx.doi.org/10.2528/PIER09091705
[19] Singh, D. and Kathpalia, A. (2007) An Efficient Modelling with GA Approach to Retrieve Soil Texture, Moisture and Roughness from ERS-2 SAR Data. Progress in Electromagnetics Research, 77, 121-136. http://dx.doi.org/10.2528/PIER07071803
[20] Haupt, R.L. (1995) An Introduction to Genetic Algorithms for Electromagnetics. Antenna and Propagation Magazine, 37, 7-15.
[21] Chelouah, R. and Siarry, P. (2000) A Continuous Genetic Algorithm Designed for the Global Optimization of Multimodal Functions. Journal of Heuristics, 6, 191-213.
http://dx.doi.org/10.1023/A:1009626110229
[22] Chapter on Continuous Genetic Algorithm.
http://www.ie.itcr.ac.cr/rpereira/mat_ant/Genetic%20Algorithms/ch3.pdf
[23] Apparao, K.V.S. and Rao, V.C.S. (1995) Soil Testing-Laboratory Manual and Question Bank. Laxmi Publication, New Delhi, 18-28.
[24] Hallikainen, M.T., Ulaby, F.T., Dobson, M.C., El-Rayes, M.A. and Wu, L.-K. (1985) Microwave Dielectric Behaviour of Wet Soil-Part 1: Empirical Models and Experimental Observations. IEEE Transactions on Geoscience and Remote Sensing, GE-23, 25-34. http://dx.doi.org/10.1109/TGRS.1985.289497

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.