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. 10.1007/s12517-022-10096-4
2. Geospatial characteristics of Colorado wildfire occurrences from 2001 to 2020 J. Wright & S. Roy 10.1016/j.rsase.2022.100872
3. 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. 10.3390/fire6100408
4. 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. 10.1007/s11069-020-04351-8
5. Forest Fire Risk Zone Mapping with Prediction of Forest Fire through Support Vector Machines (SVM) for Kothagudem, Telangana, India A. P et al. 10.36808/if/2025/v151i4/170679
6. Mapping the forest fire risk zones using artificial intelligence with risk factors data V. Sevinç 10.1007/s11356-022-22515-w
7. 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. 10.1016/j.ejrs.2021.09.002
8. Adoption of image surface parameters under moving edge computing in the construction of mountain fire warning method C. Cheng et al. 10.1371/journal.pone.0232433
9. Mapping Forest Fire Risk—A Case Study in Galicia (Spain) A. Novo et al. 10.3390/rs12223705
10. MODIS-Derived Fire Characteristics and Greenhouse Gas Emissions from Cropland Residue Burning in Central India T. Ray et al. 10.3390/su142416612
11. Physical characteristics of the thermal impact of an emergency fire V. Tumanov et al. 10.1088/1742-6596/1614/1/012074
12. Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms M. Rihan et al. 10.1016/j.asr.2023.03.026
13. Where to start with climate-smart forest management? Climatic risk for forest-based mitigation N. Piazza et al. 10.5194/nhess-24-3579-2024
14. Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility S. Janizadeh et al. 10.1080/19475705.2023.2206512
15. Flood risk assessment in Kogi State Nigeria through the integration of hazard and vulnerability factors O. Aladejana & E. Ebijuoworih 10.1007/s44288-024-00036-y
16. Forest-fire interactions, impacts, and implications: a focus on mangroves S. Dookie et al. 10.33494/nzjfs552025x405x