Overview
Destructive wildfires have recently caused catastrophic and unprecedented damages in California and different parts of the world. Despite significant fire prevention efforts, wildfires are anticipated to grow in frequency and intensity due to the changing climate and shifting urbanization patterns. This research project aims to develop and deploy a large-scale IoT network consisting of miniature weather stations capable of monitoring various environmental conditions (e.g., temperature and humidity, wind, soil moisture) to help predict and detect wildfires in a timely manner and mitigate their potentially devastating consequences.
The EUREKA end-to-end wildfire decision support system consists of a ground Internet of Things (IoT) network, wildfire risk assessment software that assimilates and processes data from the IoT network, and a user-friendly decision support tool that, based on the output of the wildfire risk assessment module, will inform relevant stakeholders including landowners, fire marshals and managers, local communities, and the public at large.
Figure 1. The EUREKA end-to-end decision support system.
EUREKA Current Prototype
Collaborators
Current collaborators:
Andrea David (andavid@ucsc.edu)
Zack Halverson (zhalvers@ucsc.edu)
Katia Obraczka (katia@soe.ucsc.edu)
Leonardo Gallego
Edwin Lin
Grey Lunk
Former Collaborators:
Tyler Morton
Tamir Melzer-Bronstein
Katelyn Stone