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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 preliminary MetImage relative spectral response functions.
Data from the NWPSAF. These are simulated function.
"""
import logging
import os
import numpy as np
from pyspectral.raw_reader import InstrumentRSR
from pyspectral.utils import get_central_wave
LOG = logging.getLogger(__name__)
METIMAGE_BAND_NAMES = ['ch1', 'ch2', 'ch3', 'ch4', 'ch5',
'ch6', 'ch7', 'ch8', 'ch9', 'ch10',
'ch11', 'ch12', 'ch13', 'ch14', 'ch15',
'ch16', 'ch17', 'ch18', 'ch19', 'ch20']
class MetImageRSR(InstrumentRSR):
"""Container for the EPS-SG MetImage RSR data."""
def __init__(self, bandname, platform_name):
"""Initialize the class."""
super(MetImageRSR, self).__init__(
bandname, platform_name, METIMAGE_BAND_NAMES)
self.instrument = 'metimage'
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()
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
self.unit = 'micrometer'
self.wavespace = 'wavelength'
def _load(self, scale=0.001):
"""Load the MetImage RSR data for the band requested."""
data = np.genfromtxt(self.requested_band_filename,
unpack=True,
names=['wavelength',
'response'],
skip_header=0,
delimiter=',')
# Data are in nanometer and need to transform to microns:
wavelength = data['wavelength'] * scale
response = data['response']
# The real MetImage has 24 detectors. However, for now we store the
# single rsr as 'detector-1', indicating that there will be multiple
# detectors in the future:
detectors = {}
detectors['det-1'] = {'wavelength': wavelength, 'response': response}
self.rsr = detectors
def generate_metimage_file(platform_name):
"""Retrieve original RSR data and convert to internal hdf5 format."""
import h5py
bandnames = METIMAGE_BAND_NAMES
instr = MetImageRSR(bandnames[0], platform_name)
instr_name = instr.instrument.replace('/', '')
filename = os.path.join(instr.output_dir,
"rsr_{0}_{1}.h5".format(instr_name,
platform_name))
with h5py.File(filename, "w") as h5f:
h5f.attrs['description'] = ('Relative Spectral Responses for ' +
instr.instrument.upper())
h5f.attrs['platform_name'] = platform_name
h5f.attrs['band_names'] = bandnames
for chname in bandnames:
metimage = MetImageRSR(chname, platform_name)
grp = h5f.create_group(chname)
grp.attrs['number_of_detectors'] = len(metimage.rsr.keys())
# Loop over each detector to check if the sampling wavelengths are
# identical:
det_names = list(metimage.rsr.keys())
wvl = metimage.rsr[det_names[0]]['wavelength']
wvl, idx = np.unique(wvl, return_index=True)
wvl_is_constant = True
for det in det_names[1:]:
det_wvl = np.unique(metimage.rsr[det]['wavelength'])
if not np.alltrue(wvl == det_wvl):
LOG.warning(
"Wavelngth arrays are not the same among detectors!")
wvl_is_constant = False
if wvl_is_constant:
arr = wvl
dset = grp.create_dataset('wavelength', arr.shape, dtype='f')
dset.attrs['unit'] = 'm'
dset.attrs['scale'] = 1e-06
dset[...] = arr
# Loop over each detector:
for det in metimage.rsr:
det_grp = grp.create_group(det)
wvl = metimage.rsr[det]['wavelength'][
~np.isnan(metimage.rsr[det]['wavelength'])]
rsp = metimage.rsr[det]['response'][
~np.isnan(metimage.rsr[det]['wavelength'])]
wvl, idx = np.unique(wvl, return_index=True)
rsp = np.take(rsp, idx)
LOG.debug("wvl.shape: %s", str(wvl.shape))
det_grp.attrs[
'central_wavelength'] = get_central_wave(wvl, rsp)
if not wvl_is_constant:
arr = wvl
dset = det_grp.create_dataset(
'wavelength', arr.shape, dtype='f')
dset.attrs['unit'] = 'm'
dset.attrs['scale'] = 1e-06
dset[...] = arr
dset = det_grp.create_dataset('response', rsp.shape, dtype='f')
dset[...] = rsp
if __name__ == "__main__":
for platform_name in ["Metop-SG-A1", ]:
generate_metimage_file(platform_name)
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