Detection and Visualization of CO2 Concentration Using Hyperspectral Satellite Data (Project 251)

[robertogl]

Contribute to the discussion by asking and/or answering questions, commenting, or sharing your ideas for solutions to project 251

[ishanporwal321]

Is there any compulsion of using MATLAB and it's toolbox in the project?

[robertogl]

Hi @ishanporwal321,

It is not a 'compulsion' but a requirement if you want to receive our rewards. Thanks.

[lohithareddy2511]

Hi, I am Lohitha Reddy Karamala. My team and I worked together on this project, and I would appreciate it if you could take a look at it.

[Namrathay07]

Introduction to the Project
The Detection and Visualization of CO₂ Concentration Using Hyperspectral Satellite Data project focuses on processing satellite hyperspectral images to identify regions with high CO₂ concentrations and visualizing this information geospatially. By leveraging the Hyperspectral Imaging Library for Image Processing Toolbox™ and the Mapping Toolbox™, this project explores advanced techniques for CO₂ detection and quantification.
The goal is to develop a robust algorithm that applies various detection methods, including Cluster-Tuned Matched Filter (CTMF), Joint Reflectance and Gas Estimator (JRGE), Spectral Fitting Algorithm, and Continuum Interpolated Band Ratio (CIBR), to accurately estimate CO₂ levels from hyperspectral satellite data. The results will be mapped using MATLAB’s Mapping Toolbox™, providing a clear and intuitive visualization of CO₂ distribution across different regions.