We present first results of surface parameter estimation, i.e. soil moisture and surface roughness, from fully polar-imetric square-flight path data of the Japanese Pi-SAR2. The images were acquired over the March 11 2011 Tsunami affected coastal area close to the city of Sendai. Ground truth was taken on bare soil. Soil moisture was measured by TDR and GPR/CMP, surface roughness by needle profiler. SAR estimates showed generally good agreement with ground truth for surface roughness. By using different aspect ratios the RMSE for ks can further be reduced. The results indicate that estimation accuracy tends to increase with increasing AOI. However, soil moisture estimates significantly deviate from in-situ data. We also discuss future applications for this valuable remote sensing data.
|Number of pages||4|
|Journal||Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR|
|Volume||Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR|
|Publication status||Published - 2014 Jan 1|
ASJC Scopus subject areas
- Signal Processing