Name
Title | ||
|---|---|---|
Multi-Polarization Methods to Detect and Classify Burned Areas using Sentinel-1 Sar Data |
Abstract | ||
|---|---|---|
In this study, multi-polarization Synthetic Aperture Radar (SAR) features extracted from Sentinel-1 C-band SAR measurements are used to identify wildfires and to classify burn severity. SAR features include co- and cross-polarized normalized radar cross sections and the total backscattered power, namely the SPAN. The test case refers to the wildfire that affected about 10 km2 in Tuscany... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/RTSI50628.2021.9597245 | 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI) |
Keywords | DocType | ISBN |
Industries,Sensitivity,Satellites,Radar cross-sections,Optical polarization,C-band,Fires | Conference | 978-1-6654-4135-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emanuele Ferrentino | 1 | 1 | 2.78 |
| Ferdinando Nunziata | 2 | 215 | 41.25 |
| Andrea Del Buono | 3 | 21 | 8.09 |
| Maurizio Sarti | 4 | 4 | 1.79 |
| Maurizio Migliaccio | 5 | 467 | 82.94 |