Source code for satpy.tests.test_modifiers

#!/usr/bin/env python
# -*- coding: utf-8 -*-
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"""Tests for modifiers in modifiers/__init__.py."""
import unittest
from datetime import datetime
from unittest import mock

import dask.array as da
import numpy as np
import pytest
import xarray as xr
from pyresample.geometry import AreaDefinition, StackedAreaDefinition
from pytest_lazyfixture import lazy_fixture


[docs] def _sunz_area_def(): """Get fake area for testing sunz generation.""" area = AreaDefinition('test', 'test', 'test', {'proj': 'merc'}, 2, 2, (-2000, -2000, 2000, 2000)) return area
[docs] def _sunz_bigger_area_def(): """Get area that is twice the size of 'sunz_area_def'.""" bigger_area = AreaDefinition('test', 'test', 'test', {'proj': 'merc'}, 4, 4, (-2000, -2000, 2000, 2000)) return bigger_area
[docs] def _sunz_stacked_area_def(): """Get fake stacked area for testing sunz generation.""" area1 = AreaDefinition('test', 'test', 'test', {'proj': 'merc'}, 2, 1, (-2000, 0, 2000, 2000)) area2 = AreaDefinition('test', 'test', 'test', {'proj': 'merc'}, 2, 1, (-2000, -2000, 2000, 0)) return StackedAreaDefinition(area1, area2)
[docs] def _shared_sunz_attrs(area_def): attrs = {'area': area_def, 'start_time': datetime(2018, 1, 1, 18), 'modifiers': tuple(), 'name': 'test_vis'} return attrs
[docs] def _get_ds1(attrs): ds1 = xr.DataArray(da.ones((2, 2), chunks=2, dtype=np.float64), attrs=attrs, dims=('y', 'x'), coords={'y': [0, 1], 'x': [0, 1]}) return ds1
[docs] @pytest.fixture(scope="session") def sunz_ds1(): """Generate fake dataset for sunz tests.""" attrs = _shared_sunz_attrs(_sunz_area_def()) return _get_ds1(attrs)
[docs] @pytest.fixture(scope="session") def sunz_ds1_stacked(): """Generate fake dataset for sunz tests.""" attrs = _shared_sunz_attrs(_sunz_stacked_area_def()) return _get_ds1(attrs)
[docs] @pytest.fixture(scope="session") def sunz_ds2(): """Generate larger fake dataset for sunz tests.""" attrs = _shared_sunz_attrs(_sunz_bigger_area_def()) ds2 = xr.DataArray(da.ones((4, 4), chunks=2, dtype=np.float64), attrs=attrs, dims=('y', 'x'), coords={'y': [0, 0.5, 1, 1.5], 'x': [0, 0.5, 1, 1.5]}) return ds2
[docs] @pytest.fixture(scope="session") def sunz_sza(): """Generate fake solar zenith angle data array for testing.""" sza = xr.DataArray( np.rad2deg(np.arccos(da.from_array([[0.0149581333, 0.0146694376], [0.0150812684, 0.0147925727]], chunks=2))), attrs={'area': _sunz_area_def()}, dims=('y', 'x'), coords={'y': [0, 1], 'x': [0, 1]}, ) return sza
[docs] class TestSunZenithCorrector: """Test case for the zenith corrector."""
[docs] @pytest.mark.parametrize("as_32bit", [False, True]) def test_basic_default_not_provided(self, sunz_ds1, as_32bit): """Test default limits when SZA isn't provided.""" from satpy.modifiers.geometry import SunZenithCorrector if as_32bit: sunz_ds1 = sunz_ds1.astype(np.float32) comp = SunZenithCorrector(name='sza_test', modifiers=tuple()) res = comp((sunz_ds1,), test_attr='test') np.testing.assert_allclose(res.values, np.array([[22.401667, 22.31777], [22.437503, 22.353533]])) assert 'y' in res.coords assert 'x' in res.coords ds1 = sunz_ds1.copy().drop_vars(('y', 'x')) res = comp((ds1,), test_attr='test') res_np = res.compute() np.testing.assert_allclose(res_np.values, np.array([[22.401667, 22.31777], [22.437503, 22.353533]])) assert res.dtype == res_np.dtype assert 'y' not in res.coords assert 'x' not in res.coords
[docs] def test_basic_lims_not_provided(self, sunz_ds1): """Test custom limits when SZA isn't provided.""" from satpy.modifiers.geometry import SunZenithCorrector comp = SunZenithCorrector(name='sza_test', modifiers=tuple(), correction_limit=90) res = comp((sunz_ds1,), test_attr='test') np.testing.assert_allclose(res.values, np.array([[66.853262, 68.168939], [66.30742, 67.601493]]))
[docs] @pytest.mark.parametrize("data_arr", [lazy_fixture("sunz_ds1"), lazy_fixture("sunz_ds1_stacked")]) def test_basic_default_provided(self, data_arr, sunz_sza): """Test default limits when SZA is provided.""" from satpy.modifiers.geometry import SunZenithCorrector comp = SunZenithCorrector(name='sza_test', modifiers=tuple()) res = comp((data_arr, sunz_sza), test_attr='test') np.testing.assert_allclose(res.values, np.array([[22.401667, 22.31777], [22.437503, 22.353533]]))
[docs] @pytest.mark.parametrize("data_arr", [lazy_fixture("sunz_ds1"), lazy_fixture("sunz_ds1_stacked")]) def test_basic_lims_provided(self, data_arr, sunz_sza): """Test custom limits when SZA is provided.""" from satpy.modifiers.geometry import SunZenithCorrector comp = SunZenithCorrector(name='sza_test', modifiers=tuple(), correction_limit=90) res = comp((data_arr, sunz_sza), test_attr='test') np.testing.assert_allclose(res.values, np.array([[66.853262, 68.168939], [66.30742, 67.601493]]))
[docs] def test_imcompatible_areas(self, sunz_ds2, sunz_sza): """Test sunz correction on incompatible areas.""" from satpy.composites import IncompatibleAreas from satpy.modifiers.geometry import SunZenithCorrector comp = SunZenithCorrector(name='sza_test', modifiers=tuple(), correction_limit=90) with pytest.raises(IncompatibleAreas): comp((sunz_ds2, sunz_sza), test_attr='test')
[docs] class TestSunZenithReducer: """Test case for the sun zenith reducer."""
[docs] @classmethod def setup_class(cls): """Initialze SunZenithReducer classes that shall be tested.""" from satpy.modifiers.geometry import SunZenithReducer cls.default = SunZenithReducer(name='sza_reduction_test_default', modifiers=tuple()) cls.custom = SunZenithReducer(name='sza_reduction_test_custom', modifiers=tuple(), correction_limit=70, max_sza=95, strength=3.0)
[docs] def test_default_settings(self, sunz_ds1, sunz_sza): """Test default settings with sza data available.""" res = self.default((sunz_ds1, sunz_sza), test_attr='test') np.testing.assert_allclose(res.values, np.array([[0.00242814, 0.00235669], [0.00245885, 0.00238707]]), rtol=1e-5)
[docs] def test_custom_settings(self, sunz_ds1, sunz_sza): """Test custom settings with sza data available.""" res = self.custom((sunz_ds1, sunz_sza), test_attr='test') np.testing.assert_allclose(res.values, np.array([[0.01041319, 0.01030033], [0.01046164, 0.01034834]]), rtol=1e-5)
[docs] def test_invalid_max_sza(self, sunz_ds1, sunz_sza): """Test invalid max_sza with sza data available.""" from satpy.modifiers.geometry import SunZenithReducer with pytest.raises(ValueError): SunZenithReducer(name='sza_reduction_test_invalid', modifiers=tuple(), max_sza=None)
[docs] class TestNIRReflectance(unittest.TestCase): """Test NIR reflectance compositor."""
[docs] def setUp(self): """Set up the test case for the NIRReflectance compositor.""" self.get_lonlats = mock.MagicMock() self.lons, self.lats = 1, 2 self.get_lonlats.return_value = (self.lons, self.lats) area = mock.MagicMock(get_lonlats=self.get_lonlats) self.start_time = 1 self.metadata = {'platform_name': 'Meteosat-11', 'sensor': 'seviri', 'name': 'IR_039', 'area': area, 'start_time': self.start_time} nir_arr = np.random.random((2, 2)) self.nir = xr.DataArray(da.from_array(nir_arr), dims=['y', 'x']) self.nir.attrs.update(self.metadata) ir_arr = 100 * np.random.random((2, 2)) self.ir_ = xr.DataArray(da.from_array(ir_arr), dims=['y', 'x']) self.ir_.attrs['area'] = area self.sunz_arr = 100 * np.random.random((2, 2)) self.sunz = xr.DataArray(da.from_array(self.sunz_arr), dims=['y', 'x']) self.sunz.attrs['standard_name'] = 'solar_zenith_angle' self.sunz.attrs['area'] = area self.da_sunz = da.from_array(self.sunz_arr) refl_arr = np.random.random((2, 2)) self.refl = da.from_array(refl_arr) self.refl_with_co2 = da.from_array(np.random.random((2, 2))) self.refl_from_tbs = mock.MagicMock() self.refl_from_tbs.side_effect = self.fake_refl_from_tbs
[docs] def fake_refl_from_tbs(self, sun_zenith, da_nir, da_tb11, tb_ir_co2=None): """Fake refl_from_tbs.""" del sun_zenith, da_nir, da_tb11 if tb_ir_co2 is not None: return self.refl_with_co2 return self.refl
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_provide_sunz_no_co2(self, calculator, apply_modifier_info, sza): """Test NIR reflectance compositor provided only sunz.""" calculator.return_value = mock.MagicMock( reflectance_from_tbs=self.refl_from_tbs) sza.return_value = self.da_sunz from satpy.modifiers.spectral import NIRReflectance comp = NIRReflectance(name='test') info = {'modifiers': None} res = comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info) assert self.metadata.items() <= res.attrs.items() assert res.attrs['units'] == '%' assert res.attrs['sun_zenith_threshold'] is not None assert np.allclose(res.data, self.refl * 100).compute()
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_no_sunz_no_co2(self, calculator, apply_modifier_info, sza): """Test NIR reflectance compositor with minimal parameters.""" calculator.return_value = mock.MagicMock( reflectance_from_tbs=self.refl_from_tbs) sza.return_value = self.da_sunz from satpy.modifiers.spectral import NIRReflectance comp = NIRReflectance(name='test') info = {'modifiers': None} res = comp([self.nir, self.ir_], optional_datasets=[], **info) # due to copying of DataArrays, self.get_lonlats is not the same as the one that was called # we must used the area from the final result DataArray res.attrs["area"].get_lonlats.assert_called() sza.assert_called_with(self.start_time, self.lons, self.lats) self.refl_from_tbs.assert_called_with(self.da_sunz, self.nir.data, self.ir_.data, tb_ir_co2=None) assert np.allclose(res.data, self.refl * 100).compute()
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_no_sunz_with_co2(self, calculator, apply_modifier_info, sza): """Test NIR reflectance compositor provided extra co2 info.""" calculator.return_value = mock.MagicMock( reflectance_from_tbs=self.refl_from_tbs) from satpy.modifiers.spectral import NIRReflectance sza.return_value = self.da_sunz comp = NIRReflectance(name='test') info = {'modifiers': None} co2_arr = np.random.random((2, 2)) co2 = xr.DataArray(da.from_array(co2_arr), dims=['y', 'x']) co2.attrs['wavelength'] = [12.0, 13.0, 14.0] co2.attrs['units'] = 'K' res = comp([self.nir, self.ir_], optional_datasets=[co2], **info) self.refl_from_tbs.assert_called_with(self.da_sunz, self.nir.data, self.ir_.data, tb_ir_co2=co2.data) assert np.allclose(res.data, self.refl_with_co2 * 100).compute()
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_provide_sunz_and_threshold(self, calculator, apply_modifier_info, sza): """Test NIR reflectance compositor provided sunz and a sunz threshold.""" calculator.return_value = mock.MagicMock( reflectance_from_tbs=self.refl_from_tbs) from satpy.modifiers.spectral import NIRReflectance sza.return_value = self.da_sunz comp = NIRReflectance(name='test', sunz_threshold=84.0) info = {'modifiers': None} res = comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info) self.assertEqual(res.attrs['sun_zenith_threshold'], 84.0) calculator.assert_called_with('Meteosat-11', 'seviri', 'IR_039', sunz_threshold=84.0, masking_limit=NIRReflectance.MASKING_LIMIT)
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_sunz_threshold_default_value_is_not_none(self, calculator, apply_modifier_info, sza): """Check that sun_zenith_threshold is not None.""" from satpy.modifiers.spectral import NIRReflectance comp = NIRReflectance(name='test') info = {'modifiers': None} calculator.return_value = mock.MagicMock( reflectance_from_tbs=self.refl_from_tbs) comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info) assert comp.sun_zenith_threshold is not None
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_provide_masking_limit(self, calculator, apply_modifier_info, sza): """Test NIR reflectance compositor provided sunz and a sunz threshold.""" calculator.return_value = mock.MagicMock( reflectance_from_tbs=self.refl_from_tbs) from satpy.modifiers.spectral import NIRReflectance sza.return_value = self.da_sunz comp = NIRReflectance(name='test', masking_limit=None) info = {'modifiers': None} res = comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info) self.assertIsNone(res.attrs['sun_zenith_masking_limit']) calculator.assert_called_with('Meteosat-11', 'seviri', 'IR_039', sunz_threshold=NIRReflectance.TERMINATOR_LIMIT, masking_limit=None)
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_masking_limit_default_value_is_not_none(self, calculator, apply_modifier_info, sza): """Check that sun_zenith_threshold is not None.""" from satpy.modifiers.spectral import NIRReflectance comp = NIRReflectance(name='test') info = {'modifiers': None} calculator.return_value = mock.MagicMock( reflectance_from_tbs=self.refl_from_tbs) comp([self.nir, self.ir_], optional_datasets=[self.sunz], **info) assert comp.masking_limit is not None
[docs] class TestNIREmissivePartFromReflectance(unittest.TestCase): """Test the NIR Emissive part from reflectance compositor."""
[docs] @mock.patch('satpy.modifiers.spectral.sun_zenith_angle') @mock.patch('satpy.modifiers.NIRReflectance.apply_modifier_info') @mock.patch('satpy.modifiers.spectral.Calculator') def test_compositor(self, calculator, apply_modifier_info, sza): """Test the NIR emissive part from reflectance compositor.""" from satpy.modifiers.spectral import NIRReflectance refl_arr = np.random.random((2, 2)) refl = da.from_array(refl_arr) refl_from_tbs = mock.MagicMock() refl_from_tbs.return_value = refl calculator.return_value = mock.MagicMock(reflectance_from_tbs=refl_from_tbs) emissive_arr = np.random.random((2, 2)) emissive = da.from_array(emissive_arr) emissive_part = mock.MagicMock() emissive_part.return_value = emissive calculator.return_value = mock.MagicMock(emissive_part_3x=emissive_part) from satpy.modifiers.spectral import NIREmissivePartFromReflectance comp = NIREmissivePartFromReflectance(name='test', sunz_threshold=86.0) info = {'modifiers': None} platform = 'NOAA-20' sensor = 'viirs' chan_name = 'M12' get_lonlats = mock.MagicMock() lons, lats = 1, 2 get_lonlats.return_value = (lons, lats) area = mock.MagicMock(get_lonlats=get_lonlats) nir_arr = np.random.random((2, 2)) nir = xr.DataArray(da.from_array(nir_arr), dims=['y', 'x']) nir.attrs['platform_name'] = platform nir.attrs['sensor'] = sensor nir.attrs['name'] = chan_name nir.attrs['area'] = area ir_arr = np.random.random((2, 2)) ir_ = xr.DataArray(da.from_array(ir_arr), dims=['y', 'x']) ir_.attrs['area'] = area sunz_arr = 100 * np.random.random((2, 2)) sunz = xr.DataArray(da.from_array(sunz_arr), dims=['y', 'x']) sunz.attrs['standard_name'] = 'solar_zenith_angle' sunz.attrs['area'] = area sunz2 = da.from_array(sunz_arr) sza.return_value = sunz2 res = comp([nir, ir_], optional_datasets=[sunz], **info) self.assertEqual(res.attrs['sun_zenith_threshold'], 86.0) self.assertEqual(res.attrs['units'], 'K') self.assertEqual(res.attrs['platform_name'], platform) self.assertEqual(res.attrs['sensor'], sensor) self.assertEqual(res.attrs['name'], chan_name) calculator.assert_called_with('NOAA-20', 'viirs', 'M12', sunz_threshold=86.0, masking_limit=NIRReflectance.MASKING_LIMIT)
[docs] class TestPSPRayleighReflectance: """Test the pyspectral-based Rayleigh correction modifier."""
[docs] def _make_data_area(self): """Create test area definition and data.""" rows = 3 cols = 5 area = AreaDefinition( 'some_area_name', 'On-the-fly area', 'geosabii', {'a': '6378137.0', 'b': '6356752.31414', 'h': '35786023.0', 'lon_0': '-89.5', 'proj': 'geos', 'sweep': 'x', 'units': 'm'}, cols, rows, (-5434894.954752679, -5434894.964451744, 5434894.964451744, 5434894.954752679)) data = np.zeros((rows, cols)) + 25 data[1, :] += 25 data[2, :] += 50 data = da.from_array(data, chunks=2) return area, data
[docs] def _create_test_data(self, name, wavelength, resolution): area, dnb = self._make_data_area() input_band = xr.DataArray(dnb, dims=('y', 'x'), attrs={ 'platform_name': 'Himawari-8', 'calibration': 'reflectance', 'units': '%', 'wavelength': wavelength, 'name': name, 'resolution': resolution, 'sensor': 'ahi', 'start_time': '2017-09-20 17:30:40.800000', 'end_time': '2017-09-20 17:41:17.500000', 'area': area, 'ancillary_variables': [], 'orbital_parameters': { 'satellite_nominal_longitude': -89.5, 'satellite_nominal_latitude': 0.0, 'satellite_nominal_altitude': 35786023.4375, }, }) red_band = xr.DataArray(dnb, dims=('y', 'x'), attrs={ 'platform_name': 'Himawari-8', 'calibration': 'reflectance', 'units': '%', 'wavelength': (0.62, 0.64, 0.66), 'name': 'B03', 'resolution': 500, 'sensor': 'ahi', 'start_time': '2017-09-20 17:30:40.800000', 'end_time': '2017-09-20 17:41:17.500000', 'area': area, 'ancillary_variables': [], 'orbital_parameters': { 'satellite_nominal_longitude': -89.5, 'satellite_nominal_latitude': 0.0, 'satellite_nominal_altitude': 35786023.4375, }, }) fake_angle_data = da.ones_like(dnb, dtype=np.float32) * 90.0 angle1 = xr.DataArray(fake_angle_data, dims=('y', 'x'), attrs={ 'platform_name': 'Himawari-8', 'calibration': 'reflectance', 'units': '%', 'wavelength': wavelength, 'name': "satellite_azimuth_angle", 'resolution': resolution, 'sensor': 'ahi', 'start_time': '2017-09-20 17:30:40.800000', 'end_time': '2017-09-20 17:41:17.500000', 'area': area, 'ancillary_variables': [], }) return input_band, red_band, angle1, angle1, angle1, angle1
[docs] @pytest.mark.parametrize( ("name", "wavelength", "resolution", "aerosol_type", "reduce_lim_low", "reduce_lim_high", "reduce_strength", "exp_mean", "exp_unique"), [ ("B01", (0.45, 0.47, 0.49), 1000, "rayleigh_only", 70, 95, 1, 41.540239, np.array([9.22630464, 10.67844368, 13.58057226, 37.92186549, 40.13822472, 44.66259518, 44.92748445, 45.03917091, 69.5821722, 70.11226943, 71.07352559])), ("B02", (0.49, 0.51, 0.53), 1000, "rayleigh_only", 70, 95, 1, 43.663805, np.array([13.15770104, 14.26526104, 16.49084485, 40.88633902, 42.60682921, 46.04288, 46.2356062, 46.28276282, 70.92799823, 71.33561614, 72.07001693])), ("B03", (0.62, 0.64, 0.66), 500, "rayleigh_only", 70, 95, 1, 46.916187, np.array([19.22922328, 19.76884762, 20.91027446, 45.51075967, 46.39925968, 48.10221156, 48.15715058, 48.18698356, 73.01115816, 73.21552816, 73.58666477])), ("B01", (0.45, 0.47, 0.49), 1000, "rayleigh_only", -95, -70, -1, 41.540239, np.array([9.22630464, 10.67844368, 13.58057226, 37.92186549, 40.13822472, 44.66259518, 44.92748445, 45.03917091, 69.5821722, 70.11226943, 71.07352559])), ] ) def test_rayleigh_corrector(self, name, wavelength, resolution, aerosol_type, reduce_lim_low, reduce_lim_high, reduce_strength, exp_mean, exp_unique): """Test PSPRayleighReflectance with fake data.""" from satpy.modifiers.atmosphere import PSPRayleighReflectance ray_cor = PSPRayleighReflectance(name=name, atmosphere='us-standard', aerosol_types=aerosol_type, reduce_lim_low=reduce_lim_low, reduce_lim_high=reduce_lim_high, reduce_strength=reduce_strength) assert ray_cor.attrs['name'] == name assert ray_cor.attrs['atmosphere'] == 'us-standard' assert ray_cor.attrs['aerosol_types'] == aerosol_type assert ray_cor.attrs['reduce_lim_low'] == reduce_lim_low assert ray_cor.attrs['reduce_lim_high'] == reduce_lim_high assert ray_cor.attrs['reduce_strength'] == reduce_strength input_band, red_band, *_ = self._create_test_data(name, wavelength, resolution) res = ray_cor([input_band, red_band]) assert isinstance(res, xr.DataArray) assert isinstance(res.data, da.Array) data = res.values unique = np.unique(data[~np.isnan(data)]) np.testing.assert_allclose(np.nanmean(data), exp_mean, rtol=1e-5) assert data.shape == (3, 5) np.testing.assert_allclose(unique, exp_unique, rtol=1e-5)
[docs] @pytest.mark.parametrize("as_optionals", [False, True]) def test_rayleigh_with_angles(self, as_optionals): """Test PSPRayleighReflectance with angles provided.""" from satpy.modifiers.atmosphere import PSPRayleighReflectance aerosol_type = "rayleigh_only" ray_cor = PSPRayleighReflectance(name="B01", atmosphere='us-standard', aerosol_types=aerosol_type) prereqs, opt_prereqs = self._get_angles_prereqs_and_opts(as_optionals) with mock.patch("satpy.modifiers.atmosphere.get_angles") as get_angles: res = ray_cor(prereqs, opt_prereqs) get_angles.assert_not_called() assert isinstance(res, xr.DataArray) assert isinstance(res.data, da.Array) data = res.values unique = np.unique(data[~np.isnan(data)]) np.testing.assert_allclose(unique, np.array([-75.0, -37.71298492, 31.14350754]), rtol=1e-5) assert data.shape == (3, 5)
[docs] def _get_angles_prereqs_and_opts(self, as_optionals): wavelength = (0.45, 0.47, 0.49) resolution = 1000 input_band, red_band, *angles = self._create_test_data("B01", wavelength, resolution) prereqs = [input_band, red_band] opt_prereqs = [] if as_optionals: opt_prereqs = angles else: prereqs += angles return prereqs, opt_prereqs
[docs] class TestPSPAtmosphericalCorrection(unittest.TestCase): """Test the pyspectral-based atmospheric correction modifier."""
[docs] def test_call(self): """Test atmospherical correction.""" from pyresample.geometry import SwathDefinition from satpy.modifiers import PSPAtmosphericalCorrection # Patch methods lons = np.zeros((5, 5)) lons[1, 1] = np.inf lons = da.from_array(lons, chunks=5) lats = np.zeros((5, 5)) lats[1, 1] = np.inf lats = da.from_array(lats, chunks=5) area = SwathDefinition(lons, lats) stime = datetime(2020, 1, 1, 12, 0, 0) orb_params = { "satellite_actual_altitude": 12345678, "nadir_longitude": 0.0, "nadir_latitude": 0.0, } band = xr.DataArray(da.zeros((5, 5)), attrs={'area': area, 'start_time': stime, 'name': 'name', 'platform_name': 'platform', 'sensor': 'sensor', 'orbital_parameters': orb_params}, dims=('y', 'x')) # Perform atmospherical correction psp = PSPAtmosphericalCorrection(name='dummy') res = psp(projectables=[band]) res.compute()