wildfires

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

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

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

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

Teleconnection-driven vision transformers for improved long-term forecasting

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

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

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

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

A large dataset (500+ images) of past wildfire from Copernicus EMS using Sentinel-2 images in the period 2017- 2023

Download wildfires data from the National Interagency Fire Center

Download wildfires data from NOAA satellites

Download wildfire incidents data from InciWeb

Detection & monitoring platform of wildfires

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

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

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

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…

Systematic assessment of the impacts of climate change on human pathogenic diseases