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TEAM

Thrive or Survive: Predicting the Health of Trees following Forest Fires in Washington

Ella Palacios, Henry Cladouhos, Christina Duffield, Allison Cruikshank

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The motivation behind this project is to build a model that can accurately predict the survival and health of trees following a forest fire, given previous health data. We picked the state of Washington to begin developing the model due to its diverse boreal & arboreal ecosystems at varying elevations that fall victim to yearly forest fires. Preserving Washington forests is a passion of ours.

Question:
Can we predict tree survival and health following a fire, using data about the tree’s past health and the fire severity?

Stakeholders:
Disaster Mitigation Groups
Commercial Logging
Forestry Researchers

KPI:
Accuracy of tree survival predictions post-fire when compared with actual historic outcomes

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