MAPPING OF FOREST FIRE BURNED SEVERITY USING THE SENTINEL DATASETS

12 citations as recorded by crossref.

1. Assessment of Pre/Post-wildfire Burned Severity and Soil Erosion Risk for Conservation Planning in Khao Phra District, Thailand Using Remote Sensing and Google Earth Engine P. Juntakut et al.
2. Multitemporal dual-pol Sentinel-1 data to support monitoring of forest post-fire dynamics S. De Petris et al.
3. 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.
4. 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.
5. Satellite-based long-term spatiotemporal trends of wildfire in the Himalayan vegetation S. Mamgain et al.
6. Geospatial assessment of forest fire impacts utilizing high-resolution KazEOSat-1 satellite data K. Suresh Babu et al.
7. Temporal Decorrelation of C-Band Backscatter Coefficient in Mediterranean Burned Areas M. Belenguer-Plomer et al.
8. A novel optimized spectral-based data driven approach for ecoregion burned scar detection S. Moshiri et al.
9. Fire risk modeling in tropical peatlands: a case study from South Sumatra C. Hapsoro et al.
10. Inter comparison of post-fire burn severity indices of Landsat-8 and Sentinel-2 imagery using Google Earth Engine P. Konkathi & A. Shetty
11. Wildfires Induced by Volcanic Activity at Stromboli Island during the 2019 Summer through Satellite and Drone Data F. Iacono et al.
12. Evaluating methods to map burned area at 30-meter resolution in forests and agricultural areas of Central India A. Chandel et al.