15 citations as recorded by crossref.

1. Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: a case study for the 2021 wildfires in Bodrum, Turkey O. Yilmaz et al. 10.1007/s11355-023-00545-x
2. Building patterns and fuel features drive wildfire severity in wildland-urban interfaces in Southern Europe V. Fernández-García et al. 10.1016/j.landurbplan.2022.104646
3. Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models X. Hu et al. 10.1016/j.isprsjprs.2022.12.026
4. Madagascar's burned area from Sentinel-2 imagery (2016–2022): Four times higher than from lower resolution sensors V. Fernández-García et al. 10.1016/j.scitotenv.2024.169929
5. Refining historical burned area data from satellite observations V. Fernández-García & C. Kull 10.1016/j.jag.2023.103350
6. Impact of large kernel size on yield prediction: a case study of corn yield prediction with SEDLA in the U.S. Corn Belt A. Terliksiz & D. Altilar 10.1088/2515-7620/ad27fa
7. Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal J. Fernández-Guisuraga & P. Fernandes 10.3390/rs15030768
8. Characterizing spatial burn severity patterns of 2016 Chimney Tops 2 fire using multi-temporal Landsat and NEON LiDAR data T. Park & S. Sim 10.3389/frsen.2023.1096000
9. Response of active layer thickening to wildfire in the pan-Arctic region: Permafrost type and vegetation type influences X. Jiang et al. 10.1016/j.scitotenv.2023.166132
10. Constructing a Comprehensive National Wildfire Database from Incomplete Sources: Israel as a Case Study E. Guk et al. 10.3390/fire6040131
11. Global Patterns and Dynamics of Burned Area and Burn Severity V. Fernández-García & E. Alonso-González 10.3390/rs15133401
12. Higher burn severity stimulates postfire vegetation and carbon recovery in California L. Qiu et al. 10.1016/j.agrformet.2023.109750
13. Predicting potential wildfire severity across Southern Europe with global data sources V. Fernández-García et al. 10.1016/j.scitotenv.2022.154729
14. MOSEV: a global burn severity database from MODIS (2000–2020) E. Alonso-González & V. Fernández-García 10.5194/essd-13-1925-2021
15. Mapping Soil Burn Severity at Very High Spatial Resolution from Unmanned Aerial Vehicles D. Beltrán-Marcos et al. 10.3390/f12020179