MODELING OF PARAMETERS FOR FOREST FIRE RISK ZONE MAPPING

16 citations as recorded by crossref.

1. Detection of high fire risk areas in Zagros Oak forests using geospatial methods with GIS techniques M. Ghanbari Motlagh et al. https://doi.org/10.1007/s12517-022-10096-4
2. Assessing Fire Risk in Wildland–Urban Interface Regions Using a Machine Learning Method and GIS data: The Example of Istanbul’s European Side E. Aksoy et al. https://doi.org/10.3390/fire6100408
3. GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques A. Tiwari et al. https://doi.org/10.1007/s11069-020-04351-8
4. Forest Fire Risk Zone Mapping with Prediction of Forest Fire through Support Vector Machines (SVM) for Kothagudem, Telangana, India A. P et al. https://doi.org/10.36808/if/2025/v151i4/170679
5. Mapping the forest fire risk zones using artificial intelligence with risk factors data V. Sevinç https://doi.org/10.1007/s11356-022-22515-w
6. Identification and modelling of forest fire severity and risk zones in the Cross – Niger transition forest with remotely sensed satellite data M. Enoh et al. https://doi.org/10.1016/j.ejrs.2021.09.002
7. Adoption of image surface parameters under moving edge computing in the construction of mountain fire warning method C. Cheng et al. https://doi.org/10.1371/journal.pone.0232433
8. Mapping Forest Fire Risk—A Case Study in Galicia (Spain) A. Novo et al. https://doi.org/10.3390/rs12223705
9. MODIS-Derived Fire Characteristics and Greenhouse Gas Emissions from Cropland Residue Burning in Central India T. Ray et al. https://doi.org/10.3390/su142416612
10. Physical characteristics of the thermal impact of an emergency fire V. Tumanov et al. https://doi.org/10.1088/1742-6596/1614/1/012074
11. Where to start with climate-smart forest management? Climatic risk for forest-based mitigation N. Piazza et al. https://doi.org/10.5194/nhess-24-3579-2024
12. Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility S. Janizadeh et al. https://doi.org/10.1080/19475705.2023.2206512
13. Modeling environmental drivers and socio-economic/human predictors of forest fire outbreaks in Algeria A. Kahli et al. https://doi.org/10.1007/s11069-026-08061-5
14. Flood risk assessment in Kogi State Nigeria through the integration of hazard and vulnerability factors O. Aladejana & E. Ebijuoworih https://doi.org/10.1007/s44288-024-00036-y
15. A systematic literature review on forest fire susceptibility mapping using geo-spatial technology and future research directions P. Vibhandik et al. https://doi.org/10.1007/s44163-026-00921-0
16. Forest-fire interactions, impacts, and implications: a focus on mangroves S. Dookie et al. https://doi.org/10.33494/nzjfs552025x405x