Dataset of in situ bathymetric points and averaged reflectance images for coastal and marine modeling.

This dataset contains in situ bathymetric data and averaged reflectance images (RGB channels) used for developing satellite-derived bathymetry models in the Bahía Almeja and Bahía Magdalena area, Mexico. The in situ data were obtained from nautical charts, using geometric instruments to extract precise depth values, and consist of 128 georeferenced points with corresponding depth measurements and spectral reflectance values. The recorded depths range from 0.30 to 25.6 meters, covering a representative range of shallow to moderately deep waters. The dataset includes averaged reflectance images for the infrared, red, green, and blue channels, which were used as input for satellite-derived bathymetry modeling. These images allow for the analysis of the relationship between spectral reflectance and water depth, facilitating the application of remote sensing methodologies for coastal and marine studies. The images have already been filtered, assigning Nan (not a number) values to pixels corresponding to land or deep water outside the area of interest. The data also contains a CSV file with 128 rows, corresponding to the in situ data obtained from the nauticalcharts mentioned in this work. For each row there are ten columns which are:1. X coordinate of the pixel in the images.2. Y coordinate of the pixel in the images.3. Longitude in degrees of the nearest pixel in the image.4. Longitude in degrees of the real world point.5. Latitude in degrees of the nearest pixel in the image.6. Latitude in degrees of the real world point.7. Red reflectance in the image averaged at that pixel.8. Green reflectance in the image averaged at that pixel.9. Blue reflectance in the image averaged at that pixel.10. Depth according to nautical charts at that point This dataset is particularly relevant for researchers and professionals working on satellite-derived bathymetry, coastal modeling, and marine ecosystem studies. The public availability of these data aims to promote reproducibility of results and facilitate their application in other regions with similar characteristics.