
Climate change intensifies wildfire risk and impact, leading to more frequent and extreme events that profoundly affect the environment, society, economy, and vital ecosystem services. Wildfires have both consequences, such as loss of life, pollution, and damage, and beneficial effects, including organic material clearance, improved soil fertility, and eradication of invasive species. Technological advancements and mobile devices have proven invaluable for disaster readiness, prevention, and response, with successful real-life applications of social media and sensing tools in emergency management. In this paper, a social media sensing tool is presented that consists of a Social Media Analysis Toolkit, that includes fire event detection and visual analytics, enabling the collection, analysis, and visualization of fire-related tweets. The effectiveness and usability of the tool were tested for the pilot area of Evia in Greece. The social media sensing tool collected fire-related tweets the summer of 2021, analyzed them and filtered them in order to provide an enhanced situational awareness tool the massive wildfire incident that occurred in August 2021. The results illustrate a significant increase in Twitter activity during the wildfire period, demonstrating the tool's effectiveness in monitoring and analyzing social media data for wildfire detection.
social media, Twitter, fire event detection, wildfires
social media, Twitter, fire event detection, wildfires
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
