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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2024 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 GeoKompsat-2B / GOCI-II spectral response functions.
Data from the Korea Ocean Satellite Centre website:
https://kosc.kiost.ac.kr/index.nm?menuCd=44&lang=en
The direct link to the SRFs is: https://kosc.kiost.ac.kr/upload/GOCI-II_SRF_Measured.csv
"""
import logging
import os
import numpy as np
import pandas as pd
from pyspectral.raw_reader import InstrumentRSR
from pyspectral.utils import convert2hdf5 as tohdf5
LOG = logging.getLogger(__name__)
GOCI2_BAND_NAMES = {"L380": "B1 (380 nm)",
"L412": "B2 (412 nm)",
"L443": "B3 (443 nm)",
"L490": "B4 (490 nm)",
"L510": "B5 (510 nm)",
"L555": "B6 (555 nm)",
"L620": "B7 (620 nm)",
"L660": "B8 (660 nm)",
"L680": "B9 (680 nm)",
"L709": "B10 (709 nm)",
"L745": "B11 (745 nm)",
"L865": "B12 (865 nm)"}
#: Default time format
_DEFAULT_TIME_FORMAT = '%Y-%m-%d %H:%M:%S'
#: Default log format
_DEFAULT_LOG_FORMAT = '[%(levelname)s: %(asctime)s : %(name)s] %(message)s'
class GOCI2RSR(InstrumentRSR):
"""Container for the GK-2B GOCI2 relative spectral response data."""
def __init__(self, bandname, platform_name):
"""Initialize the GOCI2 RSR class."""
super(GOCI2RSR, self).__init__(
bandname, platform_name, GOCI2_BAND_NAMES.keys())
self.instrument = 'goci2'
self._get_options_from_config()
LOG.debug("Filename: %s", str(self.path))
if os.path.exists(self.path):
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=10000.0):
"""Load the GOCI2 relative spectral responses."""
df1 = pd.read_csv(self.path)
# Column names don't match band names - so we use a dict to find correct
# columns. We also need to find the column with the wavelength data.
# This is the column before the actual RSR data for each band.
col_pos = df1.columns.get_loc(GOCI2_BAND_NAMES[self.bandname])
wvl_data = df1.iloc[:, col_pos - 1]
srf_data = df1.iloc[:, col_pos]
# Not all bands have an identical number of RSR points, so we need to
# remove NaNs from the data.
wvl_data.dropna(inplace=True)
srf_data.dropna(inplace=True)
# Data is in nanometers, so we need to convert to micrometers.
# The SRFs should already be normalised to 1, but we normalise here just to be sure.
self.rsr = {'wavelength': np.array(wvl_data) / 1000,
'response': np.array(srf_data) / np.nanmax(srf_data)}
if __name__ == "__main__":
import sys
LOG = logging.getLogger('goci2_rsr')
handler = logging.StreamHandler(sys.stderr)
formatter = logging.Formatter(fmt=_DEFAULT_LOG_FORMAT,
datefmt=_DEFAULT_TIME_FORMAT)
handler.setFormatter(formatter)
handler.setLevel(logging.DEBUG)
LOG.setLevel(logging.DEBUG)
LOG.addHandler(handler)
for platform_name in ['GK-2B', ]:
tohdf5(GOCI2RSR, platform_name, list(GOCI2_BAND_NAMES.keys()))
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