Source code for satpy.enhancements.ahi

#!/usr/bin/env python
# Copyright (c) 2021 Satpy developers
# This file is part of satpy.
# satpy is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
# satpy is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
# You should have received a copy of the GNU General Public License along with
# satpy.  If not, see <>.
"""Enhancement functions specific to the AHI sensor."""
import dask.array as da
import numpy as np

from satpy.enhancements import exclude_alpha, on_dask_array

[docs]def jma_true_color_reproduction(img, **kwargs): """Apply CIE XYZ matrix and return True Color Reproduction data. Himawari-8 True Color Reproduction Approach Based on the CIE XYZ Color System Hidehiko MURATA, Kotaro SAITOH, and Yasuhiko SUMIDA Meteorological Satellite Center, Japan Meteorological Agency NOAA National Environmental Satellite, Data, and Information Service Colorado State University—CIRA """ _jma_true_color_reproduction(
@exclude_alpha @on_dask_array def _jma_true_color_reproduction(img_data): ccm = np.array([ [1.1759, 0.0561, -0.1322], [-0.0386, 0.9587, 0.0559], [-0.0189, -0.1161, 1.0777] ]) output =, ccm.T) return output.T