wildfire-management

OpenAthena allows common drones to spot precise geodetic locations

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

Alert Management API for wildfire prevention, detection & monitoring. Built with FastAPI & PostgreSQL

The 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

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

Contains codes of the paper "FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction" using environmental variables

Wildfire risk assessment using remote sensing data - Prediction of Wildfires

A collection of modules to programmatically search for/download imagery from live cam feeds across the state of California.

End-to-end machine learning pipeline for the prediction of extreme and dangerous wildfires.

data repository for publicly available code and data of "Low-intensity fires mitigate the risk of catastrophic wildfires in California's forests"

Ignition pattern simulator for prescribed fire

🌳 Predicting a wildfire's severity using classification models

Agentic simulator for wildfire evacuations.

This project automates large-scale lidar processing to create forest structure and change maps. Built using lidR and python libraries, the workflow handles tiling, metric calculation, and differencing, and is parallelized for big data. As part of OpenForest4D, this pipeline enables repeatable, multi-temporal forest metrics to support conservation.

Welcome to my Wildfire capstone project. This project develops a classification model to predict wildfires management complexity levels. This is a wildfire risk, size, and impact based project.

Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.

Prevent wildfires around the globe and save our planet

This repository contains the open source specifications for the FireBreak Risk API system, a comprehensive API framework for wildfire risk assessment and mitigation scoring. These specifications are designed to standardize how wildfire risk data is collected, processed, and shared across different platforms and organizations.

A python package for geospatial analysis and mapping

This project empowers communities to actively monitor and report fires using technology and publicly available data. We enhance data accessibility for various stakeholders and focus on using data insights, particularly in understanding aerosol chemistry in different fire types, to predict and prevent wildfires effectively.