Linear Regression Model

Predict wildfire risk from weather and fuel metrics.

Estimate fire danger quickly using temperature, humidity, wind speed, and fire weather indices. This easy web app helps you evaluate the risk of fire occurrence using a trained ridge regression model.

Go to Input Form Why it matters

9 input features Temperature, RH, Wind Speed, Rain, FFMC, DMC, DC, ISI, BUI

Real-time decision support Quickly assess fire risk using an interactive form.

Responsive design Looks great on desktop, tablet, and mobile devices.

Fire Weather Inputs

Sample Input Panel

Enter meteorological values and class labels to predict the fire weather outcome with confidence.

Temperature Celsius values for air temperature.

Wind Speed Speed of wind in km/h.

Relative Humidity Air moisture content percentage.

FFMC / DMC Fire weather indices representing fuel moisture.

Why this matters

Wildfire risk rises quickly with changing weather. This application uses a regression model to help you spot high-risk conditions before they escalate.

How it works

Input weather and fire index values, then submit the form. The app scales the values and predicts fire occurrence using a trained ridge regression model.

Easy to use

Designed for clarity and speed, the homepage guides users directly to the fire weather prediction form without extra steps.