Pi-SAR2 square-flight imaging of Tsunami affected area in Japan - Surface parameter estimation by multi-aspect super high-resolution PolSAR data

Christian N. Koyama, Liu Hai, Motoyuki Sato

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number6856897
Pages (from-to)724-727
Number of pages4
JournalProceedings of the European Conference on Synthetic Aperture Radar, EUSAR
VolumeProceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Publication statusPublished - 2014 Jan 1

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation

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