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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2016-2022 Adam.Dybbroe
#
#
# 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/>.
"""Sentinel-3 SLSTR spectral response function interface.
See:
https://sentinel.esa.int/web/
sentinel/technical-guides/sentinel-3-slstr/instrument/measured-spectral-response-function-data
"""
import logging
import os
from netCDF4 import Dataset
from pyspectral.raw_reader import InstrumentRSR
from pyspectral.utils import convert2hdf5 as tohdf5
LOG = logging.getLogger(__name__)
SLSTR_BAND_NAMES = ['ch1', 'ch2', 'ch3', 'ch4',
'ch5', 'ch6', 'ch7', 'ch8', 'ch9']
class SlstrRSR(InstrumentRSR):
"""Class for Sentinel-3 SLSTR RSR."""
def __init__(self, bandname, platform_name):
"""Read the SLSTR relative spectral responses for all channels."""
super(SlstrRSR, self).__init__(bandname, platform_name,
SLSTR_BAND_NAMES)
self.instrument = 'slstr'
self._get_options_from_config()
self._get_bandfilenames()
LOG.debug("Filenames: %s", str(self.filenames))
if os.path.exists(self.filenames[bandname]):
self.requested_band_filename = self.filenames[bandname]
self._load()
else:
raise IOError("Couldn't find an existing file for this band: " +
str(self.bandname))
self.filename = self.requested_band_filename
def _load(self, scale=1.0):
"""Load the SLSTR relative spectral responses."""
LOG.debug("File: %s", str(self.requested_band_filename))
ncf = Dataset(self.requested_band_filename, 'r')
wvl = ncf.variables['wavelength'][:] * scale
resp = ncf.variables['response'][:]
self.rsr = {'wavelength': wvl, 'response': resp}
if __name__ == "__main__":
for platform_name in ['Sentinel-3B', ]:
tohdf5(SlstrRSR, platform_name, SLSTR_BAND_NAMES)
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