16 citations as recorded by crossref.

1. Soil quality assessment and constraint diagnosis of Schima superba firebreaks H. Deng et al. https://doi.org/10.1007/s10661-026-15038-1
2. Spatiotemporal Heterogeneity and Environmental and Anthropogenic Predictors of Forest Fire Burn Severity in Mountainous Southwest China Y. Zhang & Z. Li https://doi.org/10.3390/fire9090369
3. Drought effect on spectral response and burn assessments in tropical environments M. Vasquez Hernandez et al. https://doi.org/10.1016/j.jag.2026.105376
4. Application of the BNDVI index as proxy for burn severity assessment G. Esposito & D. Famiani https://doi.org/10.1007/s12145-025-01997-5
5. The Western United States MTBS-Interagency database of large wildfires, 1984–2024 (WUMI2024a) A. Williams et al. https://doi.org/10.5194/essd-17-7359-2025
6. Uydu görüntüleri ile yanan orman alanının değerlendirilmesi: Çandır orman yangını örneği A. Göz & H. Çoban https://doi.org/10.18182/tjf.1721381
7. DLSR-FireCNet: A deep learning framework for burned area mapping based on decision level super-resolution S. Seydi & M. Sadegh https://doi.org/10.1016/j.rsase.2025.101513
8. Generation of 30 m resolution monthly burned area product in Africa based on Landsat 8/9 and Sentinel-2 data S. Huang et al. https://doi.org/10.1016/j.isprsjprs.2025.09.012
9. Offsetting the noise: a framework for applying phenological offset corrections in remotely sensed burn severity assessments C. Menick et al. https://doi.org/10.1071/WF25066
10. Inconsistency in assessments of fire frequency and severity dynamics across Canada’s boreal ecosystems Y. Fu et al. https://doi.org/10.1016/j.agrformet.2026.111372
11. Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000–2022) M. Vanderhoof et al. https://doi.org/10.1071/WF24137
12. Open Access to Burn Severity Data—A Web-Based Portal for Mainland Portugal P. Castro et al. https://doi.org/10.3390/fire8030095
13. Comparative Analysis of dNBR, dNDVI, SVM Kernels, and ISODATA for Wildfire-Burned Area Mapping Using Sentinel-2 Imagery S. Lee et al. https://doi.org/10.3390/rs17132196
14. Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response H. Chen et al. https://doi.org/10.5194/essd-17-6217-2025
15. Global burn severity in forest ecoregions: trends, climate drivers, and predictive insights K. He et al. https://doi.org/10.1038/s44304-025-00113-3
16. A survival guide for assessing global fire risks to natural and human systems C. Steinmann et al. https://doi.org/10.1016/j.ijdrr.2026.106140