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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2016, 2017, 2018 Adam.Dybbroe
# Author(s):
# Adam.Dybbroe <adam.dybbro@smhi.se>
# 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/>.
"""
Reading the Sentinel-3 OLCI relative spectral responses
https://sentinel.esa.int/documents/247904/322304/OLCI+SRF+%28NetCDF%29/15cfd7a6-b7bc-4051-87f8-c35d765ae43a
"""
from netCDF4 import Dataset
import os.path
from pyspectral.utils import convert2hdf5 as tohdf5
from pyspectral.raw_reader import InstrumentRSR
import logging
LOG = logging.getLogger(__name__)
RSRFILE = '/home/a000680/data/SpectralResponses/olci/OLCISRFNetCDF.nc4'
OLCI_BAND_NAMES = ['Oa01', 'Oa02', 'Oa03', 'Oa04',
'Oa05', 'Oa06', 'Oa07', 'Oa08',
'Oa09', 'Oa10', 'Oa11', 'Oa12',
'Oa13', 'Oa14', 'Oa15', 'Oa16',
'Oa17', 'Oa18', 'Oa19', 'Oa20',
'Oa21']
class OlciRSR(InstrumentRSR):
"""Class for Sentinel OLCI RSR"""
def __init__(self, bandname, platform_name):
"""
Read the OLCI relative spectral responses for all channels.
"""
super(OlciRSR, self).__init__(bandname, platform_name)
self.instrument = 'olci'
self._get_options_from_config()
LOG.debug("Filename: %s", str(self.path))
if os.path.exists(self.path):
self._load()
else:
raise IOError("Couldn't find an existing file for this band: " +
str(self.bandname))
def _load(self, scale=0.001):
"""Load the OLCI relative spectral responses
"""
ncf = Dataset(self.path, 'r')
bandnum = OLCI_BAND_NAMES.index(self.bandname)
cam = 0
view = 0
resp = ncf.variables[
'spectral_response_function'][bandnum, cam, view, :]
wvl = ncf.variables[
'spectral_response_function_wavelength'][bandnum, cam, view, :] * scale
self.rsr = {'wavelength': wvl, 'response': resp}
def main():
"""Main"""
for platform_name in ['Sentinel-3A', ]:
tohdf5(OlciRSR, platform_name, OLCI_BAND_NAMES)
def testplot():
"""Just making a plot of the OLCI spectral response functions"""
this = Dataset(RSRFILE, 'r')
# There are 21 bands
# For each band there are 5 cameras and 3 views (west, centre and east)
# Band 1:
import pylab
from matplotlib import rcParams
rcParams['text.usetex'] = True
rcParams['text.latex.unicode'] = True
fig = pylab.figure(figsize=(11, 6))
plot_title = "S-3 OLCI: Relative Spectral Responses"
pylab.title(plot_title)
ax = fig.add_subplot(111)
for cam in range(5):
for view in range(3):
resp = this.variables[
'spectral_response_function'][0, cam, view, :]
wvl = this.variables[
'spectral_response_function_wavelength'][0, cam, view, :]
label = 'Camera {0:d} - view {1:d}'.format(cam + 1, view + 1)
ax.plot(wvl, resp, label=label)
ax.set_xlim(380, 430)
ax.legend()
fig.savefig('olci_band1.png')
# pylab.show()
if __name__ == "__main__":
main()
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