Notice of RetractionRemote sensing inversion for soil moisture of Hebei plain with MODIS data

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.

The study selects Heibei plain to be the research area, applies MODIS1B data with the spatial resolution of 1km and the actually tested soil moisture data, under the support of ENVI4.6 technology platform, make use of interactive IDL language programming to uniformly process the remote sensing image, to obtain various land surface parameters required by the apparent thermal inertia model and vegetation supply water index model, adopts the method of NDVI subregion to implement linear fitting on region where NDVI is less than 0.3 by adopting the apparent thermal inertia model, and also to implement linear fitting for region where the NDVI is larger than or equal to 0.3 by adopting the vegetation supply water index model, so as to obtain a group of remote sensing inversion models for soil moisture of each decade and each subregion in a complete farming year from October 2008 to September 2009, and obtains the soil moisture inversion result of each decade in the study area. The precision test result indicates that the method of soil moisture remote sensing inversion in the study area built in the study basically fulfills the requirements for business level.