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PALSAR2 L1.1Pre-event:2018/04/14; Post-event: 2018/07/07

PreprocessingOutput: Intensity backscattering and coherence images

3D-Texture analysisInput: Pre- & post-intensity images

Output: 11 texture images

Water body characterization from Oda and Asahi rivers

Thresholding-based detection of areas with low intensity backscattering (i.e.

water bodies & rice paddy fields)

Image maskingRemoval of areas with low intensity in both

pre- & post-event binary image

Masking out rice paddy field areasSVM using coherence and texture

features

Inundation map

PALSAR2 L1.1Pre-event:2018/04/14; Post-event: 2018/07/07

PreprocessingCoherence image

3D-Texture analysisOutput: 11 texture images

Feature spaceUnit sample: building unit

Number of features: 14 (11 texture, coherence, pre- & post-event intensity)

Calibration of hyperplane decision boundarySupport vector machine with Gaussian Kernel

Inundated building map

PreprocessingIntensity backscattering images

Training dataTwo classes: inundated and non-

inundated building

Building classification

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