In this study, a dual-polarization (DP) processing chain is presented to identify burned area in C-band PolSAR imagery and to estimate burn severity. The processing is performed according to a DP change detection scheme that uses a pair of SAR imagery collected before and after the wildfire. Finally, the output is clustered into 3 severity classes. Experimental results obtained processing a Sentinel-1 SAR data set collected over the burned area of Monti Pisani, Italy, confirm the soundness of the proposed approach.
A DUAL-POLARIMETRIC APPROACH TO OBSERVE WILDFIRES USING C-BAND POLSAR MEASUREMENTS
Nunziata F.;Ferrentino E.;Buono A.;Sarti M.;Migliaccio M.
2021-01-01
Abstract
In this study, a dual-polarization (DP) processing chain is presented to identify burned area in C-band PolSAR imagery and to estimate burn severity. The processing is performed according to a DP change detection scheme that uses a pair of SAR imagery collected before and after the wildfire. Finally, the output is clustered into 3 severity classes. Experimental results obtained processing a Sentinel-1 SAR data set collected over the burned area of Monti Pisani, Italy, confirm the soundness of the proposed approach.File in questo prodotto:
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