These data are used to represent the spatial, temporal and thermal characteristics of wildfires in southeast Louisiana beginning in 2003 and extending until 2011. The fire detection points are placed

DataONE2018-11-28 更新70

Non-parametric spatiotemporal trends in fire: an approach to identify fire regimes variations and predict seasonal effects of fire in Iran

火灾时空动态

火灾制度预测

Non-parametric spatiotemporal trends in fire: an approach to identify fire regimes variations and predict seasonal effects of fire in Iran

NIAID Data Ecosystem20

Raw Portuguese urban fires between 2013 and 2022

城市火灾事件

火灾时空

This file includes raw information regarding urban fires that took place in mainland Portugal from 2013 to 2022.

NIAID Data Ecosystem20

S1 File - Non-parametric spatiotemporal trends in fire: An approach to identify fire regimes variations and predict seasonal effects of fire in Iran

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S1 File - Non-parametric spatiotemporal trends in fire: An approach to identify fire regimes variations and predict seasonal effects of fire in Iran

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