There are 0 repository under wildfire-management topic.
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.
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
Contains codes of the paper "FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction" using environmental variables
A collection of modules to programmatically search for/download imagery from live cam feeds across the state of California.
Wildfire risk assessment using remote sensing data - Prediction of Wildfires
data repository for publicly available code and data of "Low-intensity fires mitigate the risk of catastrophic wildfires in California's forests"
A large dataset (500+ images) of past wildfire from Copernicus EMS using Sentinel-2 images in the period 2017- 2023
End-to-end machine learning pipeline for the prediction of extreme and dangerous wildfires.
🌳 Predicting a wildfire's severity using classification models
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.
Created for but not limited to boreal forest wildfires. This repository contains code to calculate the radiative forcing from dry organic matter combustion or other releases of gaseous emissions.
DVHacks - Jan 2019 - Automated Wildfire Detection Drone Test Type
Prevent wildfires around the globe and save our planet
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.