English

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

Machine Learning 2021-06-23 v2 Human-Computer Interaction Information Retrieval

Abstract

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. 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.

Keywords

Cite

@article{arxiv.2105.10880,
  title  = {RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US},
  author = {Yang Li and Hermawan Mulyono and Ying Chen and Zhiyin Lu and Desmond Chan},
  journal= {arXiv preprint arXiv:2105.10880},
  year   = {2021}
}

Comments

Source code: https://github.com/yangland/rtfps

R2 v1 2026-06-24T02:22:52.650Z