| Research Articles |
|
|
|
|
| Dielectric properties of saline soil based on a modified Dobson dielectric model |
| Nigara TASHPOLAT1, DING Jianli1, YU Danlin2 |
1 Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China;
2 Earth and Environmental Studies, Montclair State University, Montclair 07043, USA |
|
|
|
Abstract Soil salinization is a major concern for agricultural development in arid areas. In this paper, a modified Dobson dielectric model was applied to simulate the dielectric constant of saline soil in the Ugan-Kuqa river delta oasis of Xinjiang Uygur autonomous region, northwestern China. The model performance was examined through analyzing the influences of its parameters on the soil dielectric constant and the relationship between radar back-scattering coefficient and the dielectric constant of saline soil. The results of the study indicate that: (1) The real part of the soil dielectric constant is affected by soil water content at low radar frequencies; the imaginary part is closely related with both the soil water content and soil salt content. (2) The soil water and salt contents are related with the coefficient of dialectical loss, which is consistent with the natural conditions of saline soil in arid areas and provides valuable references for the study of soil dielectric properties. (3) The changes of soil water content and soil salt content have instant influences on the dielectric constant of saline soil. Subsequently, the radar backscattering coefficient is affected to respond to the dielectric constant of saline soil. The radar backscattering coefficient is most responsible to the radar’s cross polarization pattern with a correlation coefficient of R2=0.75. This study provides a potential method to monitor soil salinization and soil water content by using a soil dielectric model and radar tech-niques.
|
|
Received: 03 July 2014
Published: 05 October 2015
|
| Fund: International Science & Technology Cooperation Program of China (2010DFA92720-12), the Xinjiang Regional Youth Scientific-technical Talent Training Engineering Project (2013711014), the National Natural Sci-ence Foundation of China (U1303381, 41261090, 41130531) and the New Century Excellent Talents Supporting Plan of the Ministry of Education of China (NCET-12-1075). |
|
Corresponding Authors:
|
|
|
| Amezketa E. 2006. An integrated methodology for assessing soil salinization, a pre-condition for land desertification. Journal of Arid Environments, 67(4): 594–606.Attema E P W, Ulaby F T. 1978. Vegetation modeled as a water cloud. Radio Science, 13(2): 357–364.Bindlish R, Barros A P. 2001. Parameterization of vegetation backscatter in radar-based, soil moisture estimation. Remote Sensing of Envi-ronment, 76(1): 130–137.Davenport I J, Fernandez G J, Gurney R J. 2005. A sensitivity analysis of soil moisture retrieval from the Tau–Omega microwave emission model. IEEE Transactions on Geoscience and Remote Sensing, 43(6): 1304–1316.Dehaan R L, Taylor G R. 2002. Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil-salinization. Remote Sensing of Environment, 80: 406–417.Dong X G, Zhou J L, Chen Y B. 2007. Water and Salt Monitoring in Arid Inland Areas: Model and Application. Beijing: Science Press, 1–27. (in Chinese)Fung A K, Li Z, Chen K S.1992. Backscattering from a randomly rough dielectric surface. IEEE Transactions on Geoscience and Remote Sensing, 30(2): 356–369.Ha X P. 2009. Remote sensing-based monitoring model for soil salini-zation in arid areas. MSc Thesis. Urumqi: Xinjiang University. (in Chinese)He Y F, Zhang B, Ma C Q. 2004. Study on dynamic change of land sali-alkalization in Songnen Plain—a case study in Nongpan county. Journal of Soil and Water Conservation, 18(3): 146–153. (in Chinese)Hu Q R. 2003. Studies on microwave dielectric behavior of moist salt soil and inversion of the moisture and salt content. PhD Dissertation. Beijing: Institute of Remote Sensing Application, Chinese Academy of Sciences. (in Chinese)Ma X D, Chen Y N, Zhu C G, et al. 2011. The variation in soil moisture and the appropriate groundwater table for desert riparian forest along the lower Tarim River. Journal of Geographical Sciences, 21(1): 150–162.Pankova E I. 2007. A new monograph on salt-affected soils and salini-zation dynamics in the Terek River delta. Eurasian Soil Science, 40(1): 99–100.Qiao Y L.1996. An application of aerial remote sensing to monitor salinization at Xinding Basin. Advances in Space Research, 18(7): 133–139.Saysel A K, Barlas Y. 2001. A dynamic model of salinization on irrigated lands. Ecological Modelling, 139(2–3): 177–199.Shao Y, Lu Y, Dong Q, et al. 2002. Study on soil microwave dielectric characteristic as salinity and water content. Journal of Remote Sensing, 6(6): 423–428. (in Chinese)Shi J C, Chen K S, Li Q, et al. 2002. A Parameterized surface reflectivity model and estimation of bare surface soil moisture with L-band ra-diometer. IEEE Transactions on Geoscience and Remote Sensing, 40(12): 2674–2686.Shi X X, Wang J, Ren C Y, et al. 2004. Study on the modeling of soil salinization in semi-arid area based on GIS and Geo-CA model. Journal of Northeast Normal University, 36(2): 88–94. (in Chinese)Stasyuk N V. 2001. Temporal dynamics of soil cover salinization in the Terek delta. Russian Journal of Ecology, 32(1): 22–28.Tian C Y, Zhou H F, Liu G Q. 2000. The proposal on control of soil salinizing and agricultural sustaining development in 21’s century in Xinjiang. Arid Land Geography, 23(3): 178–181. (in Chinese)Ulaby F T, Sarabandi K, McDonald K, et al. 1990. Michigan microwave canopy scattering model. International Journal of Remote Sensing, 11(7): 1223–1253.Wang Z Q. 1993. China Salinity Soil. Beijing: Science Press, 400–515. (in Chinese)Wang J M, Shi J C, Shao Y. 2005. Soil moisture content monitoring based on ERS wind scatterometer data. Journal of China University of Mining and Technology, 15(4): 305–308.Wu S L. 2006. Simulation of a combined passive/active microwave remote sensing approach for soil moisture retrieval. Proceedings of the Third International Symposium on Future Intelligent Earth Ob-servation Satellites. Beijing: Science Press, 305–308. (in Chinese)Xiong W C. 2005. Studies on microwave dielectric behavior of moist salt soil and inversion of the moisture and salt content. MSc Thesis. Beijing: Institute of Remote Sensing Application, Chinese Academy of Sciences. (in Chinese)Yang H, Shi J, Li Z, et al. 2003. Temporal and spatial soil moisture change pattern detection using multi temporal Radarsat SCANSAR images. Proceedings of IGRASS, IEEE, 2: 1420–1422.Zhang J X, Liu Z J, Sun X X. 2009. Changing landscape in the three gorges reservoir area of Yangtze River from 1977 to 2005: land use/land cover, vegetation cover changes estimated using multi-source satellite data. International Journal of Applied Earth Observation and Geoinformation, 11(6): 403–412.Zhao Q G. 1991. Land degradation and its control. China Land Science, 5(2): 22–25. (in Chinese) |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
