Data-Enabled Correlation Analysis between Wildfire and Climate using GIS

Xie, Weiwei; He, Mingyan; Tang, Bo

doi:10.1109/icict50521.2020.00013

Cited by 2 publications

(1 citation statement)

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“…While research results have been abundant, the public is still largely uninformed of the imminent danger due to poor communication. Therefore, our group aims to visually convey the significance of the issue by creating an interactive map that show a real-time forecast of the wildfire and demonstrates how climate change has been affecting the occurrence of wildfire in the United States from 1992 to 2015 [3,8,10,24]. We provide predictions of wildfire risks base of our Machine Learning model using weather and fuel conditions.…”

Section: Introductionmentioning

confidence: 99%

RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US

Li,

Mulyono,

Chen

et al. 2021

Preprint

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Climate change has largely impacted our daily lives. As one of its consequences, we are experiencing more wildfires. In the year 2020, wildfires burned a record number of 8,888,297 acres in the US [5]. To awaken people's attention to climate change, and to visualize the current risk of wildfires, We developed RtFPS, "Real-Time Fire Prediction System". It provides a real-time prediction visualization of wildfire risk at specific locations base on a Machine Learning model. It also provides interactive map features that show the historical wildfire events with environmental info. Source code: https://github.gatech.edu/yli3297/RtFPS-A-Interactive-Map-that-Visualize-and-Predict-Wildfires-in-US

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Section: Introductionmentioning

confidence: 99%