Research Article

Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data

Volume: 5 Number: 2 August 1, 2018
EN

Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data

Abstract

The aim of this study is to estimate and map soil moisture distribution using C-band Synthetic Aperture Radar (SAR) data. Sentinel-1A is a new generation C-band SAR satellite, and in this study Sentinel-1A data acquired on 24 April 2016 were used to retrieve soil moisture map. An agricultural region in Bergama, a district of İzmir city, was chosen as the study area. In-situ soil moisture measurements were carried out in 20 test fields simultaneously with SAR data acquisition. The effects of soil moisture and local incidence angle on backscattering coefficient were analyzed, and then a multiple regression analysis was performed to generate an empirical model. The proposed model was evaluated using statistical metrics namely coefficient of determination (R2) and Root Mean Square Error (RMSE), and the results were 0.84 and 2.46 %, respectively. The obtained results showed that Sentinel-1A SAR data presented satisfying outcomes to estimate and map soil moisture content.

Keywords

References

  1. Ahmad, A., Zhang, Y., & Nichols, S. (2011). Review and evaluation of remote sensing methods for soil-moisture estimation. SPIE Reviews, 2(1), 028001. http://doi.org/10.1117/1.3534910
  2. Aubert, M., Baghdadi, N., Zribi, M., Douaoui, A., Loumagne, C., Baup, F., … Garrigues, S. (2011). Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust. Remote Sensing of Environment, 115(8), 1801–1810. http://doi.org/10.1016/j.rse.2011.02.021
  3. B. E. Myhre, & S. F. Shih. (1990). USING INFRARED THERMOMETRY TO ESTIMATE SOIL WATER CONTENT FOR A SANDY SOIL. Transactions of the ASAE, 33(5), 1479. http://doi.org/10.13031/2013.31497
  4. 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), 512–516. http://doi.org/10.1109/LGRS.2011.2173155
  5. Baghdadi, N., Camus, P., Beaugendre, N., Issa, O. M., Zribi, M., Desprats, J. F., … Sannier, C. (2011). Estimating Surface Soil Moisture from TerraSAR-X Data over Two Small Catchments in the Sahelian Part of Western Niger. Remote Sensing, 3(6), 1266–1283. http://doi.org/10.3390/rs3061266
  6. 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(1), 721–737. http://doi.org/10.5721/EuJRS20134643
  7. Canada Center for Remote Sensing. (1976). Fundamentals of remote sensing. Resources Policy, 2(1), 65. http://doi.org/10.1016/0301-4207(76)90065-9
  8. Copernicus. (2018). Sentinel-1 — The SAR Imaging Constellation for Land and Ocean Services. Retrieved from https://directory.eoportal.org/web/eoportal/satellite-missions/c-missions/copernicus-sentinel-1

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

August 1, 2018

Submission Date

May 21, 2018

Acceptance Date

July 11, 2018

Published in Issue

Year 2018 Volume: 5 Number: 2

APA
Şekertekin, A., Marangoz, A. M., & Abdikan, S. (2018). Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data. International Journal of Environment and Geoinformatics, 5(2), 178-188. https://doi.org/10.30897/ijegeo.425606
AMA
1.Şekertekin A, Marangoz AM, Abdikan S. Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data. IJEGEO. 2018;5(2):178-188. doi:10.30897/ijegeo.425606
Chicago
Şekertekin, Aliihsan, Aycan Murat Marangoz, and Saygın Abdikan. 2018. “Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data”. International Journal of Environment and Geoinformatics 5 (2): 178-88. https://doi.org/10.30897/ijegeo.425606.
EndNote
Şekertekin A, Marangoz AM, Abdikan S (August 1, 2018) Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data. International Journal of Environment and Geoinformatics 5 2 178–188.
IEEE
[1]A. Şekertekin, A. M. Marangoz, and S. Abdikan, “Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data”, IJEGEO, vol. 5, no. 2, pp. 178–188, Aug. 2018, doi: 10.30897/ijegeo.425606.
ISNAD
Şekertekin, Aliihsan - Marangoz, Aycan Murat - Abdikan, Saygın. “Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data”. International Journal of Environment and Geoinformatics 5/2 (August 1, 2018): 178-188. https://doi.org/10.30897/ijegeo.425606.
JAMA
1.Şekertekin A, Marangoz AM, Abdikan S. Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data. IJEGEO. 2018;5:178–188.
MLA
Şekertekin, Aliihsan, et al. “Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data”. International Journal of Environment and Geoinformatics, vol. 5, no. 2, Aug. 2018, pp. 178-8, doi:10.30897/ijegeo.425606.
Vancouver
1.Aliihsan Şekertekin, Aycan Murat Marangoz, Saygın Abdikan. Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data. IJEGEO. 2018 Aug. 1;5(2):178-8. doi:10.30897/ijegeo.425606

Cited By