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#!/usr/bin/env python |
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# -*- coding: utf-8 -*- |
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# Copyright (c) 2017, 2018 Adam.Dybbroe |
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# Author(s): |
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# Adam.Dybbroe <[email protected]> |
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# This program is free software: you can redistribute it and/or modify |
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# it under the terms of the GNU General Public License as published by |
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# the Free Software Foundation, either version 3 of the License, or |
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# (at your option) any later version. |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU General Public License for more details. |
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# You should have received a copy of the GNU General Public License |
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# along with this program. If not, see <http://www.gnu.org/licenses/>. |
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"""Landsat-8 OLI reader |
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""" |
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import os |
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from xlrd import open_workbook |
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import numpy as np |
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from pyspectral.utils import convert2hdf5 as tohdf5 |
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from pyspectral.raw_reader import InstrumentRSR |
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import logging |
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LOG = logging.getLogger(__name__) |
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OLI_BAND_NAMES = {'CoastalAerosol': 'B1', |
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'Blue': 'B2', |
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'Green': 'B3', |
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'Red': 'B4', |
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'NIR': 'B5', |
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'Cirrus': 'B9', |
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'SWIR1': 'B6', |
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'SWIR2': 'B7', |
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'Pan': 'B8'} |
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class OliRSR(InstrumentRSR): |
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"""Class for Landsat OLI RSR""" |
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def __init__(self, bandname, platform_name): |
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""" |
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Read the Landsat OLI relative spectral responses for all channels. |
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""" |
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super(OliRSR, self).__init__(bandname, platform_name) |
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self.instrument = 'oli' |
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self._get_options_from_config() |
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LOG.debug("Filename: %s", str(self.path)) |
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if os.path.exists(self.path): |
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self._load() |
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else: |
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raise IOError("Couldn't find an existing file for this band: " + |
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str(self.bandname)) |
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def _load(self, scale=0.001): |
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"""Load the Landsat OLI relative spectral responses |
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""" |
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with open_workbook(self.path) as wb_: |
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for sheet in wb_.sheets(): |
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if sheet.name in ['Plot of AllBands', ]: |
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continue |
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ch_name = OLI_BAND_NAMES.get(sheet.name.strip()) |
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if ch_name != self.bandname: |
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continue |
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wvl = sheet.col_values(0, 2) |
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resp = sheet.col_values(1, 2) |
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self.rsr = {'wavelength': np.array(wvl) / 1000., |
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'response': np.array(resp)} |
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break |
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def main(): |
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"""Main""" |
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bands = OLI_BAND_NAMES.values() |
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bands.sort() |
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for platform_name in ['Landsat-8', ]: |
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tohdf5(OliRSR, platform_name, bands) |
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if __name__ == "__main__": |
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main() |
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pytroll /
pyspectral
