Study of soil moisture change effects on L-band DInSAR phase

The Differential Synthetic Aperture Radar Interferometry (DInSAR) technique is recognized as a potential remote sensing tool for detecting ground surface displacements with less than a centimetre accuracy. The surface soil moisture changes ( 1clip_image001.png" > ) during the time between the two images as an effective parameter on interferometry phase 1clip_image002.png" > ), leads to incorrect calculation of  ground  movement  .   In this research, the amount and the way that  1clip_image001.png" >  affects 1clip_image003.png" >  on  wheat, rapeseed, weed, pea and idle land fields have been investigated empirically using  a regression model.  To do this investigation,  airborne data UAVSAR (L-band) along with ground-based data in the CanEx-SM10 campaign in 2010 were used. According to the scattergraphs between 1clip_image003.png" >  and 1clip_image001.png" > , and observing a direct and approximately linear relationship between them, some hypotheses were taken into consideration in order to use a regression modeling . Comparing the estimated