Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..133w&link_type=abstract
In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl
Statistics
Applications
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.
Honikel Marc
Strozzi Tazio
Wegmüller Urs
Werner Charles L.
Wiesmann Andreas
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