This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
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Updated
Aug 15, 2023 - Python
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
Evaluate Wildfire Environmental Impact and Assess Burn Severity Consequences using Cloud Based Geoprocessing via Earth Engine Streamlit App.
A collection of modules to programmatically search for/download imagery from live cam feeds across the state of California.
Machine Learning for Wildfire Detection - MLOps
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
Automated framework for retrieving and processing Sentinel-2 satellite imagery using the Sentinel Hub API. Focused on analyzing geospatial data, particularly SWIR composites, to visualize wildfire-affected areas and support environmental monitoring.
This tool fetches and processes satellite imagery data related to fire events using NASA's Earth API and Google Earth Engine.
AutoML pipeline for wildfire detection using continuous training and deployment.
Build and version wildfire datasets for training object detectors
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