fire-weather-index

Know when rain starts from your own Home Assistant weather station. 170+ derived sensors, ET0 irrigation, fire danger, UTCI heat stress, dashboards, and blueprints.

Real-time satellite wildfire monitoring & fire-risk for Algeria — NASA FIRMS + Fire Weather Index, on an interactive map.

Wildfire risk classifier for northern Algeria. Builds a 121k-row labelled dataset from NASA FIRMS and Open-Meteo APIs, with matched negative sampling and year-grouped evaluation.

CumulusUtils

Machine learning model to predict the Fire Weather Index (FWI) from meteorological data for forest fire risk assessment.

ArcGIS Toolbox for Fire Danger Rating System based on the Canadian Forest Fire Weather Index System

Gradio regression application that estimates Fire Weather Index from environmental inputs and maps the result to fire-risk guidance.

This project uses the Algerian Forest Fires dataset from the UCI Machine Learning Repository to predict fire risk using linear regression. The dataset includes temperature, humidity, wind, rain, and Fire Weather Index (FWI) components recorded across two Algerian regions. The project includes EDA, feature engineering, model training, & evaluations.

A Flask web application that predicts the Fire Weather Index (FWI) using Linear Regression and meteorological data from the Algerian Forest Fires dataset.

FireWatch – Real‑time wildfire intelligence from space. Live fire detections, intensity, and climate risk for the communities on the front line.

Cloud-native geospatial data products from Canadian wildfire research: daily fire spread, fire weather, suppression effectiveness, and fire regime change.