Example data for Single-scene thin-cloud correction for dynamic macroalgal blooms via water-referenced radiative transfer

This dataset provides example data for the implementation of the single-scene thin-cloud correction method for dynamic macroalgal blooms. “Uncorrected image” contains the GF-1 images to be corrected, which were derived from the original imagery after radiometric calibration, RPC geometric correction, and spatial cropping. “Uncorrected image_xml” contains the metadata files of the original Level-1A GF-1 imagery downloaded from the official data portal. ”Uncorrected image_hdr” contains the ENVI .hdr files generated after radiometric calibration of the original GF-1 imagery in ENVI. ”algae_mask image” contains the macroalgal pixel mask used to identify the target correction regions. ”LUT” contains the MODTRAN-based lookup table data used in the thin-cloud correction procedure. ”water_class image” contains the water turbidity classification result generated prior to thin-cloud correction. ”corrected_TOA” contains the thin-cloud-corrected TOA reflectance image. ”corrected_TOA_to_radiance” contains the corrected TOA reflectance converted to radiance for subsequent atmospheric correction. These example data are provided to demonstrate the complete processing workflow implemented in the accompanying GitHub repository.