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Pi-SAR2 Square-Flight Imaging of Tsunami affected Area in Japan - Surface Parameter Estimation by Multi-Aspect Super High-Resolution PolSAR Data

机译:日本海啸灾区的Pi-SAR2方形飞行成像-利用多方面超高分辨率PolSAR数据估算表面参数

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We present first results of surface parameter estimation, i.e. soil moisture and surface roughness, from fully polarimetric 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.
机译:我们从日本Pi-SAR2的全极化方飞行路径数据中得出了表面参数估计的第一个结果,即土壤湿度和表面粗糙度。这些图像是在2011年3月11日海啸受灾的仙台市附近的沿海地区采集的。地面真相是在裸露的土地上拍摄的。通过TDR和GPR / CMP测量土壤水分,通过针刺轮廓仪测量表面粗糙度。 SAR估计值与地面粗糙度的地面真实情况基本吻合。通过使用不同的纵横比,可以进一步降低ks的RMSE。结果表明,估计精度倾向于随着AOI的增加而增加。但是,土壤含水量估计值与实地数据有很大出入。我们还将讨论这种有价值的遥感数据的未来应用。

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