Evaluation of soil surface moisture in Dak Nong province, Vietnam by Sentinel-1 radar image

  • Affiliations:

    Hanoi University of Mining and Geology, Hanoi, Vietnam

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  • Received: 20th-Jan-2023
  • Revised: 25th-May-2023
  • Accepted: 19th-June-2023
  • Online: 30th-June-2023
Pages: 51 - 58
Views: 1529
Downloads: 20
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This study focuses on monitoring the variation of surface soil moisture (0-1 cm) and ground soil moisture (0÷1 m) in the soil in Dak Nong province using Sentinel-1 radar images received in December 2017. Active radar signals utilized in this method were sent and received using short wave pulses. The intensity of the received signal is compared to determine the scattering coefficient of the surface. The most common imaging constructs of active shortwave are Synthetic Aperture Radar (SAR), which transmits a series of pulses that pass through a radar antenna. Soil moisture is calculated by measuring electromagnetic radiation in the wavelength range from 0.5÷100 cm based on the contrast between the dielectric properties of water (~80) and soil particles (<4). With increasing humidity, the dielectric constant of the water mixture increases, this change can be detected by radar sensors. The results of moisture estimation by satellite images are checked by the results of field sampling and laboratory analysis. Radar remote sensing technique has demonstrated the ability to estimate soil moisture on the principle of correlating with actual measured data. The return scattering value of the soil consists of two components: the former is the backscattering value of the raw soil; while the latter is the backscattering value of the vegetation cover. It is recommended that this technology should be applied to territories with complex, difficult-to-access terrains and few meteorological monitoring stations.

How to Cite
Vu, T.Phuong Thi, Nguyen, P.Quoc and Do, C.Cao 2023. Evaluation of soil surface moisture in Dak Nong province, Vietnam by Sentinel-1 radar image. Journal of Mining and Earth Sciences. 64, 3 (Jun, 2023), 51-58. DOI:https://doi.org/10.46326/JMES.2023.64(3).06.

Baup, F., Mougin, E., de Rosnay, P., Timouk, F., and Chênerie, I. (2007). Surface soil moisture estimation over the AMMA Sahelian site in Mali using ENVISAT/ASAR data. Remote sensing of environment, 109(4), 473-481.

Chen, K. S., Yen, S. K., and Huang, W. P. (1995). A simple model for retrieving bare soil moisture from radar-scattering coefficients. Remote sensing of environment, 54(2), 121-126.

Choudhury, B. J., and Golus, R. E. (1988). Estimating soil wetness using satellite data. International Journal of Remote Sensing, 9(7), 1251-1257.

Choudhury, B. J., Schmugge, T. J., Chang, A., and Newton, R. W. (1979). Effect of surface roughness on the microwave emission from soils. Journal of Geophysical Research: Oceans, 84(C9), 5699-5706.

Dak Nong Provincial People's Committee, (2012). Natural conditions of Dak Nong Province.

Dubois, P. C., and Van Zyl, J. (1994). An empirical soil moisture estimation algorithm using imaging radar. In Proceedings of IGARSS'94-1994 IEEE International Geoscience and Remote Sensing Symposium (Vol. 3, pp. 1573-1575). IEEE.

Mo, T., Schmugge, T. J., and Jackson, T. J. (1984). Calculations of radar backscattering coefficient of vegetation-covered soils. Remote Sensing of Environment, 15(2), 119-133.

Muller E., Decamps H., (2000). Modeling soil moisture - reflectance. Remote Sensing of Environment, 76(2):173-180.

Owe, M., Chang, A., and Golus, R. E. (1988). Estimating surface soil moisture from satellite microwave measurements and a satellite derived vegetation index. Remote sensing of environment, 24(2), 331-345.

Pathe, C., Wagner, W., Sabel, D., Doubkova, M., and Basara, J. B. (2009). Using ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA. IEEE Transactions on Geoscience and Remote Sensing, 47(2), 468-480.

Schmugge, T. J. (1983). Remote sensing of soil moisture: Recent advances. IEEE Transactions on Geoscience and Remote Sensing, (3), 336-344.