Soil moisture is a very useful property for interpreting various soil data.
Microwave remote sensing is a widely used tool that can detect soil moisture. It is based on the dielectric constant of liquid water and dry soil. As moisture increases, the dielectric constant increases, which can be detected by microwave sensors. The objectives of this study are to investigate the effect of the varying surface temperature, bulk density and texture using passive microwave remote sensing to detect if the algorithm is sensitive to these changes. The data for analysis were taken from the Huntsviile 1996 field experiment.