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RtFPS: An Interactive Map that Visualizes and Predicts Wildfires in the US (2105.10880v2)

Published 23 May 2021 in cs.LG, cs.HC, and cs.IR

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.

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Authors (5)
  1. Yang Li (1144 papers)
  2. Hermawan Mulyono (2 papers)
  3. Ying Chen (334 papers)
  4. Zhiyin Lu (2 papers)
  5. Desmond Chan (2 papers)
Citations (4)

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