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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2019-2022 Pytroll developers
#
#
# This program 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.
#
# This program 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 this program. If not, see <http://www.gnu.org/licenses/>.
"""Read the HY-1C COCTS relative spectral responses.
Data from lwk1542@hotmail.com
NB! The two IR bands are NOT included.
See issue: https://github.com/pytroll/pyspectral/issues/61
"""
import logging
import os
import numpy as np
from pyspectral.raw_reader import InstrumentRSR
from pyspectral.utils import INSTRUMENTS
from pyspectral.utils import convert2hdf5 as tohdf5
LOG = logging.getLogger(__name__)
COCTS_BAND_NAMES = ['ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', 'ch7', 'ch8']
class COCTS_RSR(InstrumentRSR):
"""Container for the HY-1C COCTS RSR data."""
def __init__(self, bandname, platform_name):
"""Initialize the class."""
super(COCTS_RSR, self).__init__(bandname, platform_name, COCTS_BAND_NAMES)
self.instrument = INSTRUMENTS.get(platform_name, 'cocts')
self._get_options_from_config()
self._get_bandfilenames()
LOG.debug("Filenames: %s", str(self.filenames))
if self.filenames[bandname] and os.path.exists(self.filenames[bandname]):
self.requested_band_filename = self.filenames[bandname]
self._load(bandname)
else:
LOG.warning("Couldn't find an existing file for this band: %s",
str(self.bandname))
# To be compatible with VIIRS....
self.filename = self.requested_band_filename
def _load(self, bandname, scale=0.001):
"""Load the COCTS RSR data for the band requested.
Wavelength is given in nanometers.
"""
data = np.genfromtxt(self.requested_band_filename,
unpack=True,
names=['wavelength', 'ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', 'ch7', 'ch8'],
skip_header=0)
wavelength = data['wavelength'] * scale
response = data[bandname]
self.rsr = {'wavelength': wavelength, 'response': response}
if __name__ == "__main__":
for platform_name in ["HY-1C", ]:
tohdf5(COCTS_RSR, platform_name, COCTS_BAND_NAMES)
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