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Detection and Visualization of CO2 Concentration Using Hyperspectral Satellite Data (Project 251) #105
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Contribute to the discussion by asking and/or answering questions, commenting, or sharing your ideas for solutions to project 251
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Replies: 3 comments 1 reply
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Is there any compulsion of using MATLAB and it's toolbox in the project?
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Hi @ishanporwal321,
It is not a 'compulsion' but a requirement if you want to receive our rewards. Thanks.
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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.
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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 ToolboxTM and the Mapping ToolboxTM, 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 ToolboxTM, providing a clear and intuitive visualization of CO2 distribution across different regions.
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