fire-risk

Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.

Detecting active fire hotspots and unsupervised clustering hotspots using VIIRS thermal remote sensing data.

A fire risk card for Home Assistant

Repository of the datatonFach: Evaluate and predict fire risk using Landsat and Fasat-Charlie satellite data, using DINOv2 model for spatial representation extraction and a KNN for classification, Visualizable on a Streamlit platform

Daily wildfire-ignition risk for Portugal: trained grid models (PR-AUC 0.234 on every held-out cell-day) and a live service fed by Open-Meteo or in-situ sensors.

Exploratory analysis of California building connectivity and wildfire risk, using Vibrant Planet's structure graph with Riley et al. (2025) burn probability, tree canopy cover, Census income and race data, and CarbonPlan's Open Climate Risk scores.

PeatFR-PyQt adalah aplikasi desktop client-server modern untuk memprediksi dan memonitor risiko kebakaran lahan gambut tropis menggunakan pendekatan stochastic, machine learning, dan optimisasi matematis.

Experimental open-source platform for studying and mapping wildfire ignition risk using weather, satellite observations, territorial data and historical fire records

Interactive Web GIS platform & multi-criteria spatial risk assessment engine for urban fire hazards and disaster management.