Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which corresponds to a decompressed version of Level-0 data with additional metadata. The software is demonstrated on the first Sentinel-2 dataset containing raw data for warm temperature hotspots detection/classification.

Deep Learning Models for Wildfire Danger Forecasting

http://ibm.biz/cfcsc-wildfires - predict the wildfire/bushfire area for 7 regions in Australia for each day in February 2021

A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images

Download wildfire hotspots detected by NASA satellites and the Fire Information for Resource Management System (FIRMS)

Teleconnection-driven vision transformers for improved long-term forecasting

Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.

Convolutional neural network model based on the architecture of the Faster-RCNN for wildfire smoke detection.

Download wildfires data from the National Interagency Fire Center

Download wildfire incidents data from InciWeb

Download wildfires data from NOAA satellites

Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires"

Simulator based on the real physical phenomenons acting in a wildfire, deals with wind, heat capacities..an more.

Building models that can predict whether an area is at risk of a wildfire or not on satellite images.

Download watch, warning and advisory data from the National Weather Service

Detection & monitoring platform of wildfires

SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of t…

Agent-based modeling 2D wildfire suppression simulator tool built on the mesa framework in Python

Live wild fire data visualization, historical data analysis, future fires prediction based on Machine Learning model

Download wildfires data from CalFire