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A. Sekertekin; A. M. Marangoz; S. Abdikan; M. T. Esetlili (2016)
Publisher: Copernicus Publications
Journal: The International Archives of the Photogrammetry
Languages: English
Types: Article
Subjects: TA1-2040, T, TA1501-1820, Applied optics. Photonics, Engineering (General). Civil engineering (General), Technology
Synthetic Aperture Radar (SAR) imaging system is one of the most effective way for Earth observation. The aim of this study is to present the preliminary results about estimating soil moisture using L-band Synthetic Aperture Radar (SAR) data. Full-polarimetric (HH, HV, VV, VH) ALOS-2 data, acquired on 22.04.2016 with the incidence angle of 30.4o, were used in the study. Simultaneously with the SAR acquisition, in-situ soil moisture samples over bare agricultural lands were collected and evaluated using gravimetric method. Backscattering coefficients for all polarizations were obtained and linear regression analysis was carried out with in situ moisture measurements. The best correlation coefficient was observed with VV polarization. Cross-polarized backscattering coefficients were not so sensitive to soil moisture content. In the study, it was observed that soil moisture maps can be retrieved with the accuracy about 14% (RMSE).
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Ahmad, A., Zhang, Y., & Nichols, S., 2011. Review and evaluation of remote sensing methods for soil-moisture estimation. SPIE Reviews, 2, 028001.
    • Aubert, M., Baghdadi, N., Zribi, M., Douaoui, A., Loumagne, C., Baup, F., El Hajj, M., Garrigues, S., 2011. Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust. Remote Sensing of Environment, 115(8), pp. 1801-1810.
    • Baghdadi, N., Camus, P., Beaugendre, N., Issa, O.M., Zribi, M., Desprats, J.F., Rajot, J.L., Abdallah, C., Sannier, C., 2011.
    • Remote Sens., 3, pp. 1266-1283.
    • Baghdadi, N., Aubert, M., Zribi, M., 2012. Use of TerraSAR-X Data to Retrieve Soil Moisture Over Bare Soil Agricultural Fields. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 9(3).
    • Balenzano, A., Satalino, G., Lovergine, F., Rinaldi, M., Iacobellis, V., Mastronardi, N., Mattia, F., 2013. On the use of temporal series of L- and X-band SAR data for soil moisture retrieval. Capitanata plain case study. European Journal of Remote Sensing, 46, pp. 721-737.
    • Canada Center for Remote Sensing, 2008. “Fundamentals of remote sensing applications”, http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/chapter5/14 _e.php (May 2016).
    • Gherboudj, I., Magagi, R., Berg, A.A., Toth, B., 2011. Soil moisture retrieval over agricultural fields from multi-polarized and multi-angular RADARSAT-2 SAR data. Remote Sensing of Environment, 115(1), pp. 33-43.
    • Jacome, A., Bernier, M., Chokmani, K., Gauthier, Y., Poulin, J., De Sève, D., 2013. Monitoring Volumetric Surface Soil Moisture Content at the La Grande Basin Boreal Wetland by Radar Multi Polarization Data. Remote Sens., 5, pp. 4919-4941.
    • Kornelsen, K. C., Coulibaly, P., 2013. Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications. Journal of Hydrology, 476, pp. 460- 489,
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