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#!/usr/bin/env python |
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# -*- coding: utf-8 -*- |
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# Copyright (c) 2014-2018 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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"""Testing the radiance to brightness temperature conversion""" |
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from pyspectral.radiance_tb_conversion import RadTbConverter |
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from pyspectral.radiance_tb_conversion import SeviriRadTbConverter |
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from pyspectral.utils import get_central_wave |
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import unittest |
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import numpy as np |
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from mock import patch |
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TEST_TBS = np.array([200., 270., 300., 302., 350.], dtype='float32') |
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TRUE_RADS = np.array([856.937353205, 117420.385297, |
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479464.582505, 521412.9511, 2928735.18944], |
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dtype='float64') |
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TRUE_RADS_SEVIRI = np.array([2.391091e-08, |
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2.559173e-06, |
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9.797091e-06, |
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1.061431e-05, |
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5.531423e-05], |
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dtype='float64') |
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TEST_RSR = {'20': {}} |
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TEST_RSR['20']['det-1'] = {} |
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TEST_RSR['20']['det-1']['wavelength'] = np.array([ |
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3.6123999, 3.6163599, 3.6264927, 3.6363862, 3.646468, |
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3.6564937, 3.6664478, 3.6765388, 3.6865413, 3.6964585, |
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3.7065142, 3.716509, 3.7264658, 3.7364102, 3.7463682, |
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3.7563652, 3.7664226, 3.7763396, 3.7863384, 3.7964207, |
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3.8063589, 3.8163606, 3.8264089, 3.8364836, 3.8463381, |
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3.8563975, 3.8664163, 3.8763755, 3.8864797, 3.8964978, |
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3.9064275, 3.9164873, 3.9264729, 3.9364026, 3.9465107, |
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3.9535347], dtype='double') |
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TEST_RSR['20']['det-1']['response'] = np.array([ |
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0.01, 0.0118, 0.01987, 0.03226, 0.05028, 0.0849, |
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0.16645, 0.33792, 0.59106, 0.81815, 0.96077, 0.92855, |
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0.86008, 0.8661, 0.87697, 0.85412, 0.88922, 0.9541, |
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0.95687, 0.91037, 0.91058, 0.94256, 0.94719, 0.94808, |
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1., 0.92676, 0.67429, 0.44715, 0.27762, 0.14852, |
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0.07141, 0.04151, 0.02925, 0.02085, 0.01414, 0.01], dtype='double') |
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TEST_RSR['20']['det-1']['central_wavelength'] = get_central_wave(TEST_RSR['20']['det-1']['wavelength'], |
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TEST_RSR['20']['det-1']['response']) |
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SEV_RSR = {'IR3.9': {}} |
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SEV_RSR['IR3.9']['det-1'] = {} |
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WAVN = np.array([2083.33325195, 2091.00048828, 2098.72387695, 2106.50488281, |
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2114.34375, 2122.24121094, 2130.19775391, 2138.21435547, |
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2146.29101562, 2154.42944336, 2162.62963867, 2170.89257812, |
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2179.21899414, 2187.609375, 2196.06494141, 2204.58569336, |
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2213.17285156, 2221.82714844, 2230.54956055, 2239.34082031, |
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2248.20141602, 2257.13256836, 2266.13500977, 2275.20947266, |
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2284.35668945, 2293.57788086, 2302.87402344, 2312.24584961, |
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2321.6940918, 2331.21972656, 2340.82421875, 2350.5078125, |
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2360.27197266, 2370.11743164, 2380.0456543, 2390.05737305, |
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2400.15356445, 2410.33544922, 2420.60449219, 2430.9609375, |
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2441.40625, 2451.94189453, 2462.5690918, 2473.28857422, |
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2484.10180664, 2495.01025391, 2506.01416016, 2517.11645508, |
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2528.31713867, 2539.61816406, 2551.02050781, 2562.52587891, |
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2574.13525391, 2585.8503418, 2597.67236328, 2609.60351562, |
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2621.64453125, 2633.796875, 2646.06274414, 2658.44335938, |
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2670.94018555, 2683.55541992, 2696.28979492, 2709.14624023, |
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2722.12548828, 2735.22973633, 2748.4609375, 2761.82055664, |
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2775.31103516, 2788.93359375, 2802.69042969, 2816.58422852, |
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2830.61621094, 2844.78833008, 2859.10351562, 2873.56323242, |
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2888.17016602, 2902.92626953, 2917.83374023, 2932.89550781, |
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2948.11328125, 2963.48999023, 2979.02758789, 2994.72924805, |
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3010.59741211, 3026.63452148, 3042.84326172, 3059.22705078, |
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3075.78735352, 3092.52880859, 3109.45263672, 3126.56323242, |
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3143.86328125, 3161.35571289, 3179.04394531, 3196.9309082, |
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3215.02050781, 3233.31640625, 3251.82104492, 3270.5390625], |
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dtype='float32') |
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RESP = np.array([5.85991074e-07, 5.05963471e-05, 1.54738867e-04, |
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8.75972546e-07, 2.23005936e-05, 6.17855985e-05, |
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1.41724333e-04, 1.87453145e-06, 3.19355922e-06, |
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1.08511595e-04, 2.12896630e-04, 5.65914146e-04, |
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5.93333738e-04, 2.45316158e-04, 1.77410198e-04, |
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3.18188017e-04, 5.27926895e-05, 1.41405777e-04, |
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1.64295849e-03, 2.69834511e-03, 4.89762053e-03, |
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2.71760323e-03, 2.49398337e-03, 4.83754929e-03, |
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1.08462553e-02, 5.53890038e-03, 8.30772892e-03, |
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1.33131407e-02, 2.89320182e-02, 4.69624363e-02, |
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6.85162693e-02, 1.17517754e-01, 2.26854816e-01, |
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3.69935125e-01, 5.16705751e-01, 6.70479536e-01, |
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8.18419516e-01, 9.00036395e-01, 9.59491372e-01, |
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9.60837066e-01, 9.63596582e-01, 9.77563441e-01, |
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9.98380423e-01, 9.98030603e-01, 9.93735969e-01, |
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9.84225452e-01, 9.98880267e-01, 1.00000000e+00, |
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9.90870714e-01, 9.75207090e-01, 9.68391836e-01, |
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9.73213553e-01, 9.75407243e-01, 9.57278728e-01, |
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9.68693912e-01, 9.78199899e-01, 9.73649919e-01, |
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9.81804073e-01, 9.71176386e-01, 9.72167253e-01, |
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9.60459769e-01, 9.40638900e-01, 9.24033165e-01, |
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9.16043043e-01, 8.79902899e-01, 8.11953366e-01, |
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6.69838488e-01, 4.60774124e-01, 2.68200457e-01, |
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1.34857073e-01, 6.40064552e-02, 3.31763141e-02, |
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1.24335978e-02, 6.22070907e-03, 2.53354642e-03, |
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1.81269188e-05, 4.63075470e-03, 1.78873568e-04, |
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1.01367442e-03, 1.28920563e-03, 4.91134451e-05, |
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6.77187869e-04, 2.44393433e-03, 2.62995227e-03, |
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6.38825062e-04, 1.70478446e-03, 1.03909883e-03, |
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1.27910142e-04, 2.95412028e-04, 8.80619162e-04, |
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2.42782771e-04, 7.55985593e-06, 3.55220342e-04, |
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8.71264958e-04, 2.01994626e-04, 8.14358555e-06, |
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2.14082262e-04, 1.07610082e-04, 5.82974189e-06, |
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4.16795141e-04], dtype='float32') |
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SEV_RSR['IR3.9']['det-1']['wavenumber'] = WAVN |
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SEV_RSR['IR3.9']['det-1']['response'] = RESP |
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class RSRTestDataModis(object): |
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"""RSR test data for Aqua Modis""" |
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def __init__(self): |
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"""Making a testdata set of relative spectral responses""" |
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self.rsr = TEST_RSR |
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class TestSeviriConversions(unittest.TestCase): |
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"""Testing the conversions between radiances and brightness temperatures""" |
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def setUp(self): |
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"""Set up""" |
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with patch('pyspectral.radiance_tb_conversion.RelativeSpectralResponse') as mymock: |
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instance = mymock.return_value |
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instance.rsr = SEV_RSR |
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instance.unit = 'cm-1' |
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instance.si_scale = 100. |
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self.sev1 = RadTbConverter('Meteosat-9', 'seviri', 'IR3.9', |
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wavespace='wavenumber') |
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self.sev2 = SeviriRadTbConverter('Meteosat-9', 'IR3.9') |
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def test_rad2tb(self): |
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"""Unit testing the radiance to brightness temperature conversion""" |
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res = self.sev1.tb2radiance(TEST_TBS, lut=False) |
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self.assertTrue(np.allclose(TRUE_RADS_SEVIRI, res['radiance'])) |
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def test_conversion_simple(self): |
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"""Test the tb2radiance function to convert radiances to Tb's |
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using tabulated coefficients based on a non-linear approximation |
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""" |
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retv = self.sev2.tb2radiance(TEST_TBS) |
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rads = retv['radiance'] |
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# Units space = wavenumber (cm-1): |
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tbs = self.sev2.radiance2tb(rads) |
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self.assertTrue(np.allclose(TEST_TBS, tbs)) |
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np.random.seed() |
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tbs1 = 200.0 + np.random.random(50) * 150.0 |
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retv = self.sev2.tb2radiance(tbs1) |
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rads = retv['radiance'] |
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tbs = self.sev2.radiance2tb(rads) |
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self.assertTrue(np.allclose(tbs1, tbs)) |
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def test_conversions_methods(self): |
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"""Using the two diferent conversion methods to verify that they give |
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approximately the same results. Conversion from Tb's to Radiances |
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only |
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""" |
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# Units space = wavenumber (cm-1): |
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retv2 = self.sev2.tb2radiance(TEST_TBS) |
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retv1 = self.sev1.tb2radiance(TEST_TBS) |
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rads1 = retv1['radiance'] |
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rads2 = retv2['radiance'] |
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self.assertTrue(np.allclose(rads1, rads2)) |
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def tearDown(self): |
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"""Clean up""" |
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pass |
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class TestRadTbConversions(unittest.TestCase): |
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"""Testing the conversions between radiances and brightness temperatures""" |
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def setUp(self): |
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"""Set up""" |
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# mymock: |
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with patch('pyspectral.radiance_tb_conversion.RelativeSpectralResponse') as mymock: |
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instance = mymock.return_value |
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instance.rsr = TEST_RSR |
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instance.unit = '1e-6 m' |
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instance.si_scale = 1e-6 |
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self.modis = RadTbConverter('EOS-Aqua', 'modis', '20') |
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self.modis2 = RadTbConverter('EOS-Aqua', 'modis', 3.75) |
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def test_rad2tb(self): |
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"""Unit testing the radiance to brightness temperature conversion""" |
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res = self.modis.tb2radiance(TEST_TBS, lut=False) |
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self.assertTrue(np.allclose(TRUE_RADS, res['radiance'])) |
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res = self.modis2.tb2radiance(TEST_TBS, lut=False) |
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self.assertTrue(np.allclose(TRUE_RADS, res['radiance'])) |
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res = self.modis.tb2radiance(TEST_TBS, lut=False, normalized=False) |
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integral = self.modis.rsr_integral |
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self.assertTrue(np.allclose(TRUE_RADS * integral, res['radiance'])) |
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res = self.modis.tb2radiance(237., lut=False) |
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self.assertAlmostEqual(16570.592171157, res['radiance']) |
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res = self.modis.tb2radiance(277., lut=False) |
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self.assertAlmostEqual(167544.3823631, res['radiance']) |
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res = self.modis.tb2radiance(1.1, lut=False) |
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self.assertAlmostEqual(0.0, res['radiance']) |
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res = self.modis.tb2radiance(11.1, lut=False) |
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self.assertAlmostEqual(0.0, res['radiance']) |
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res = self.modis.tb2radiance(100.1, lut=False) |
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|
self.assertAlmostEqual(5.3940515573e-06, res['radiance']) |
|
247
|
|
|
|
|
248
|
|
|
res = self.modis.tb2radiance(200.1, lut=False) |
|
249
|
|
|
self.assertAlmostEqual(865.09776189, res['radiance']) |
|
250
|
|
|
|
|
251
|
|
|
def tearDown(self): |
|
252
|
|
|
"""Clean up""" |
|
253
|
|
|
pass |
|
254
|
|
|
|
|
255
|
|
|
|
|
256
|
|
|
def suite(): |
|
257
|
|
|
"""The suite for test_reflectance.""" |
|
258
|
|
|
loader = unittest.TestLoader() |
|
259
|
|
|
mysuite = unittest.TestSuite() |
|
260
|
|
|
mysuite.addTest(loader.loadTestsFromTestCase(TestRadTbConversions)) |
|
261
|
|
|
mysuite.addTest(loader.loadTestsFromTestCase(TestSeviriConversions)) |
|
262
|
|
|
|
|
263
|
|
|
return mysuite |
|
264
|
|
|
|
pytroll /
pyspectral
