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Center for Nonlinear Studies |
Different remote sensing sensors bring with them different capabilities. SAR (Synthetic Aperture Radar) provides both amplitude and phase information, allowing the detection of relatively small changes in the area. Optical data in general will have the best spatial resolution, while being very sensitive to changes in the atmospheric conditions. Multispectral and hyperspectral data provide accurate spectral information with reduced spatial resolution capability. In this talk, we will examine these sensors and consider how they can be combined to get an accurate picture of what has happened in disaster scenarios. In particular, we will consider before and after images of the tsunami at Sendai, Japan. The SAR images enable us to see where change has occurred. The multispectral images will distinguish seasonal changes of vegetation from that caused by the tsunami. Particular regions damaged or not damaged by the tsunami will be considered.
Host: James Theiler