Articles | Volume 12, issue 4
Earth Syst. Sci. Data, 12, 3481–3487, 2020
https://doi.org/10.5194/essd-12-3481-2020
Earth Syst. Sci. Data, 12, 3481–3487, 2020
https://doi.org/10.5194/essd-12-3481-2020

Data description paper 17 Dec 2020

Data description paper | 17 Dec 2020

Dielectric database of organic Arctic soils (DDOAS)

Igor Savin et al.

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Cited articles

Al-Yaari, A., Wigneron, J.-P., Kerr, Y., Rodriguez-Fernandez, N., O'Neill, P. E., Jackson, T. J., De Lannoy, G. J. M., Al Bitar, A., Mialon, A., and Richaume, P.: Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets, Remote Sens. Environ., 193, 257–273, https://doi.org/10.1016/j.rse.2017.03.010, 2017. 
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Curtis, J. O., Weiss, C. A., and Everett, J. B.: Effect of soil composition on dielectric properties, US Army Corps Eng. Waterw. Exp. Station, Vicksburg, MS, Tech. Rep. EL-95-34, 1995. 
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This article presents a dielectric database of organic Arctic soils. This database was created based on dielectric measurements of seven samples of organic soils collected in various parts of the Arctic tundra. The created database can serve not only as a source of experimental data for the development of new soil dielectric models for the Arctic tundra but also as a source of training data for artificial intelligence satellite algorithms of soil moisture retrievals based on neural networks.