Notice of RetractionHyperspectral predicting model for Black soil moisture at different depth

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

This study aims to quantify the relationship between field Black soil hyperspectral reflectance and soil moisture at different depth. The stepwise regression predicting model of soil moisture at different depths was built with the spectral derivatives as independent variable, and the models were evaluated with root mean square error (RMSE) and determining coefficient. The results are as follows: (1) the overall correlation coefficients between spectral reflectance and soil moisture at different depth vary considerably, and the largest correlation coefficient is between soil spectral reflectance and soil moisture at the depth of 10-20 cm, maximum at around 960 nm. (2) This article identifies the best model of soil water content at 0-2 cm, 2-10 cm and 10-20 cm, pre-determination coefficients R² were 0.48, 0.51, 0.78, root mean square error (RMSE) were 0.4, 0.48 and 0.24, respectively. (3) Among different mathematical transform of soil spectral reflectance, of the correlation between the first derivative and the soil water content becomes much more remarkable, the number of selected band in water content model at different depth also increases, and the models become more stable.