<p dir="ltr">This data contains the supplementary data for the article "<i>Evolving Multispectral Sensor Configurations Using Genetic Programming for Estuary Health Monitoring</i>". This dataset contains hyperspectral images of sediment with corresponding ground-truth measurements of porosity and organic matter content. Three items are included:</p><ol><li><b>Sediment_reference.xlsx: </b>Contains the ground-truth measurements for the porosity and organic matter of the 150 cells of the quadrats measured.</li><li><b>Hyperspectral folder:</b> Contains all hyperspectral images of the cells of the quadrats captured as Numpy data files.</li><li><b>ROI folder: </b>Contains the masks for each hyperspectral image, segmenting the specular highlights</li></ol><p dir="ltr">For more details see the corresponding paper <a href="https://doi.org/10.1080/03036758.2024.2393297" rel="noreferrer" target="_blank">https://doi.org/10.1080/03036758.2024.2393297</a>, and GitHub repository <a href="https://github.com/mrog173/Hyperspectral-Regression-GP" rel="noreferrer" target="_blank">https://github.com/mrog173/Hyperspectral-Regression-GP</a>.</p>