MAPPING OF FOREST FIRE BURNED SEVERITY USING THE SENTINEL DATASETS

10 citations as recorded by crossref.

1. Multitemporal dual-pol Sentinel-1 data to support monitoring of forest post-fire dynamics S. De Petris et al. 10.1080/10106049.2022.2098388
2. Forest fire probability zonation using dNBR and machine learning models: a case study at the Similipal Biosphere Reserve (SBR), Odisha, India R. Guria et al. 10.1007/s11356-025-35976-6
3. Exploring the ethnobiological practices of fire in three natural regions of Ecuador, through the integration of traditional knowledge and scientific approaches V. Carrión-Paladines et al. 10.1186/s13002-024-00699-4
4. Satellite-based long-term spatiotemporal trends of wildfire in the Himalayan vegetation S. Mamgain et al. 10.1007/s11069-023-05835-z
5. Investigation of wildfire risk and its mapping using GIS-integrated AHP method: a case study over Hoshangabad Forest Division in Central India M. Khan et al. 10.1007/s10668-024-05225-w
6. Geospatial assessment of forest fire impacts utilizing high-resolution KazEOSat-1 satellite data K. Suresh Babu et al. 10.3389/ffgc.2024.1296100
7. Temporal Decorrelation of C-Band Backscatter Coefficient in Mediterranean Burned Areas M. Belenguer-Plomer et al. 10.3390/rs11222661
8. A novel optimized spectral-based data driven approach for ecoregion burned scar detection S. Moshiri et al. 10.1080/01431161.2024.2429783
9. Inter comparison of post-fire burn severity indices of Landsat-8 and Sentinel-2 imagery using Google Earth Engine P. Konkathi & A. Shetty 10.1007/s12145-020-00566-2
10. Evaluating methods to map burned area at 30-meter resolution in forests and agricultural areas of Central India A. Chandel et al. 10.3389/ffgc.2022.933807