CO₂ Detection from Hyperspectral AVIRIS Data

This project implements four CO₂ detection algorithms using MATLAB:

• CIBR (Continuum Interpolated Band Ratio)
• CTMF (Cluster-Tuned Matched Filter)
• JRGE (Joint Reflectance and Geometric Enhancement)
• SFA (Spectral Fitting Algorithm)

Features

• Uses AVIRIS hyperspectral reflectance imagery
• Preprocessing and clustering
• Index map generation and binary hotspot detection
• Geospatial visualization of detected CO₂ emissions

Files Included

• main_co2_visualisation.m – Main script to run all methods and show outputs
• co2_cibr.m, co2_ctmf.m, co2_jrge.m, co2_sfa.m – Method-specific functions
• README.md – This file
• LICENSE – MIT license terms

Requirements

• MATLAB R2021b or newer
• Mapping Toolbox (for geospatial visualization)
• Image Processing Toolbox

License

This project is licensed under the MIT License.