Hazard mapping with multi-temporal SAR and InSAR

Statistics – Applications

Scientific paper

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Hazards, Dtm

Scientific paper

In our hazard mapping methodology multi-temporal SAR backscattering and multi-temporal coherence data are considered. Process models are used to characterize the targets before, during and/or after the hazard event. Forward models describe the effect on the backscatter and coherence data, allowing development of a strategy and to specify the classification algorithm used. Results presented for these different types of hazard events are forest storm damage, flood, and avalanche mapping. The temporal behavior of the backscattering coefficient and the temporal behavior of the coherence (determined from ERS tandem data) permitted detecting the change, leading to a damage map. For the investigated events, the presented methodology proved to be robust and reliable. Careful radiometric calibration, coregistration, geolocalisation, and estimation schemes were found to be important for the quality of the results.

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