Using U-Net Model to Detect Wildfire from Satellite Imagery
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Updated
Feb 25, 2024 - HTML
Using U-Net Model to Detect Wildfire from Satellite Imagery
An experimental repository to build ML models and perform efficient wildfire smoke detection.
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.
A collection of modules to programmatically search for/download imagery from live cam feeds across the state of California.
National Forest FireBot: a Python script that scrapes incidents for any National Forest using WildCAD's WildWeb or WildWeb-E feature, and reports them to a desired output. Optionally there is a self-service SMS gateway end users can leverage
End-to-end machine learning pipeline for the prediction of extreme and dangerous wildfires.
Xtinguish is an CNN Image Classfication model which helps in detecting and preventing Wildfires
Utilizing Google Earth Engine and satellite imagery to identify wildfire occurrences.
Wildfire risk assessment using remote sensing data - Prediction of Wildfires
🎥🌲🔥 Improving wildfire smoke detection models by creating virtual fine-tuning data in Unreal Engine.
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
Canada Wildfire Prediction Using Deep Learning
The project aims to develop a robust model for classifying wildfire images from various angles. The primary objective is to empirically evaluate and compare the performance of different models in classifying images as containing fire or not.
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.
a low-maintancene, low-cost early wildfire detection system
Finetuned Google's ViT base for wildfire detection
A Wildfire Detection System that integrates machine learning models with satellite imagery, camera feeds, and weather data to predict and detect wildfires effectively.
Final Project for the Unstructured Data Analysis module in the MSc. Machine Learning and Data Science Course
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