19 skills found
Orion-AI-Lab / Wildfire ForecastingDeep Learning Models for Wildfire Danger Forecasting
Orion-AI-Lab / MesogeosA multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc
ECMWFCode4Earth / Wildfire ForecastingForecasting wildfire danger using deep learning.
Orion-AI-Lab / TelevitTeleconnection-driven vision transformers for improved long-term forecasting
Beckybams / Forest Fire Spread ModelingForest Fire Spread Modeling uses data-driven simulations to predict how wildfires propagate across landscapes. By analyzing factors like vegetation, weather, topography, and wind patterns, the model helps forecast fire behavior, assess risks, and support emergency planning, resource allocation.
pyronear / Pyro RisksData science for wildfire risk forecasting and monitoring
DRMALEK / Wildfire Vision HubA repository to support wildfire detection, forecasting, and segmentation , inspired by the heartbreaking wildfires in Turkey and Syria .
HakamShams / LOAN[IEEE TGRS'23] Location-aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting
WorldWindEarth / WildfireThe Wildfire Management Tool - WMT (v2.0) - a geo-browser that provides weather and fire behavior forecasts to ensure the safefy of firefighters and effective use of resources
BeppeMarnell / MSc Thesis Wildfire PredictionWildfire risk assessment using remote sensing data - Prediction of Wildfires
aymenhmaidiwastaken / CosmicwatchAI-powered Earth & Space monitoring platform. Analyzes 5,000+ exoplanets, tracks near-Earth asteroids, monitors global wildfires using NASA satellite data with machine learning pipelines (KMeans, Isolation Forest, ARIMA forecasting) and interactive Plotly Dash dashboard.
PiSchool / Noa Xai For Wildfire ForecastingCode for the School of AI challenge "Explainable AI for Wildfire Forecasting", sponsored by Pi School to help NOA, the National Observatory of Athens, work with Explainable Deep Learning for Wildfire Forecasting.
jbric16 / FlameForecast ProjectPhoenix Eye—A NASA Space App Hackathon project that forecasts wildfires, alerts remote communities, and provides a comprehensive UI for researchers.
Orion-AI-Lab / Televit1.0Televit1.0: Teleconnection-aware Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasting
CJinny / Insight Project FirecasterForecasting wildfire damage risk on Flinders Chase National Park, Australia using time-series satellite images from Sentinel as well as local weather data from NOAA's GSOD
weather-mcp / Weather MCPMCP server providing 12 weather tools to AI assistants. Features: forecasts, current conditions, historical data (1940-present), weather alerts, air quality, marine conditions, lightning detection, weather radar imagery, river monitoring, and wildfire tracking. Global coverage. No API keys required.
ASUcicilab / Wildfire ForecastingNo description available
Orion-AI-Lab / Uncertainty WildfiresRepo for building uncertainty-aware deep learning models for wildfire danger forecasting
KylesCorner / Earth Engine Wildfire DataEarth-Engine-Wildfire-Data is a Python-based toolkit for downloading, processing, and preparing wildfire perimeter data from Google Earth Engine (GEE). It supports historical and forecasted datasets, and provides tools to generate configuration files for wildfire modeling and prediction workflows.
