Promotor:Neyt, Xavier
Funding:SPP Politique Scientifique
Involved staff: Xavier NEYT, Martijn NOTTEBAERE,
Start date:01 Mar 2012
Duration:26 months
Research unit:Radar Signal Processing


The SENSAR project aims at assessing if and how high resolution soil moisture can be extracted from SAR images at high resolution. One of the key components of the project is the large scale in-situ measurements and a model-based inversion from backscatter to dielectric constant. As a side-product of that inversion, soil roughness information is obtained and that can then be used as a hint to assist in the inversion of the SAR data. The RMA is in charge of the SAR image processing and of part of the inversion process.


  1. M. Nottebaere, M. R. Ardekani, S. Lambot, and X. Neyt. SAR-image derived soil moisture enhancement using GPR data. In Proceedings of the 15th International Conference on Ground Penetrating Radar, pages 223-226, June 2014.
  2. Martijn Nottebaere, Mohammad Reza Mahmoudzadeh Ardekani, Sébastien Lambot, and Xavier Neyt. Soil moisture patterns characterized by GPR help enhancing SAR-image derived surface soil moisture. In Proceedings of the 20th URSI Benelux Forum, November 2014.