spaceml-org/pyrocast
End-to-end machine learning pipeline for the prediction of extreme and dangerous wildfires.
This tool helps meteorologists, wildfire incident commanders, and climate scientists predict dangerous and extreme wildfires by identifying pyrocumulonimbus clouds (pyroCb). It processes satellite imagery, weather data, and fuel information to forecast pyroCb formation and reveal the environmental factors driving these events. The output provides predictions of pyroCb presence and insights into their causes, aiding in early warning and resource allocation.
No commits in the last 6 months.
Use this if you need to forecast the likelihood and causal factors of extreme wildfire events indicated by pyrocumulonimbus clouds.
Not ideal if you need a fully complete and actively maintained tool, as development is ongoing and not yet finished.
Stars
11
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/spaceml-org/pyrocast"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mnpinto/banet
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Orion-AI-Lab/wildfire_forecasting
Deep Learning Models for Wildfire Danger Forecasting
IBM/predict-wildfire-intensity
WARNING: This repository is no longer maintained ⚠️ This repository will not be updated.
UBC-MDS/forest-fire-area-prediction
This project aims to predict the burned area of forest fires in the northeast region of...
aravind-selvam/forest-fire-prediction
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.