Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification
作者：
Highlights：
• Automatic calibration of fire danger classes based on wildfire historical records.
• Use of clustering techniques to learn patterns related to wildfire characteristics.
• Fire danger classes determination for user-defined regions.
• Validation of the proposed method with large wildfire analyses.
摘要
•Automatic calibration of fire danger classes based on wildfire historical records.•Use of clustering techniques to learn patterns related to wildfire characteristics.•Fire danger classes determination for user-defined regions.•Validation of the proposed method with large wildfire analyses.
论文关键词：Automatic calibration,Clustering techniques,Fire danger classes,European forest fire information system
论文评审过程：Received 12 April 2021, Revised 9 September 2021, Accepted 5 December 2021, Available online 1 January 2022, Version of Record 12 January 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116380
