def fake_multiscene2():
"""Like fake_multiscene, but with real areas (one stacked)."""
from satpy.dataset.dataid import WavelengthRange
from satpy.tests.utils import make_dataid
common_attrs = {
"start_time": datetime.datetime(1900, 1, 1, 0, 0),
"end_time": datetime.datetime(1900, 1, 1, 0, 1)
}
wl = {
"C08": WavelengthRange(5.7, 6.2, 6.7),
"C10": WavelengthRange(6.8, 7.3, 7.8),
"C14": WavelengthRange(10, 11, 12)
}
content = {
make_dataid(name=x, wavelength=wl.get(x)):
numpy.arange(5 * 5).reshape(5, 5)
for x in ("C08", "C10", "C14", "C14_flash_extent_density")
}
sc1 = satpy.tests.utils.make_fake_scene(content.copy(),
common_attrs=common_attrs)
sc2 = satpy.tests.utils.make_fake_scene(content.copy(),
common_attrs=common_attrs)
sc3 = satpy.tests.utils.make_fake_scene(
{k: numpy.concatenate([v, v], 0)
for (k, v) in content.items()},
area=pyresample.geometry.StackedAreaDefinition(
sc1["C14"].attrs["area"], sc2["C14"].attrs["area"]),
common_attrs=common_attrs)
return satpy.MultiScene([sc1, sc2, sc3])
def test_set_attrs(self):
"""Test setting scene attributes."""
seviri2pps.BANDNAMES = ['VIS006', 'IR_108']
vis006 = mock.MagicMock(
attrs={'wavelength': WavelengthRange(0.56, 0.635, 0.71)})
ir108 = mock.MagicMock(
attrs={
'platform_name': 'myplatform',
'wavelength': WavelengthRange(9.8, 10.8, 11.8),
'orbital_parameters': {
'orb_a': 1,
'orb_b': 2
},
'georef_offset_corrected': True
})
scene_dict = {'VIS006': vis006, 'IR_108': ir108}
scene = mock.MagicMock(attrs={})
scene.__getitem__.side_effect = scene_dict.__getitem__
seviri2pps.set_attrs(scene)
self.assertEqual(scene['VIS006'].attrs['name'], 'image0')
self.assertEqual(scene['VIS006'].attrs['id_tag'], 'ch_r06')
self.assertEqual(scene['IR_108'].attrs['name'], 'image1')
self.assertEqual(scene['IR_108'].attrs['id_tag'], 'ch_tb11')
self.assertNotIn('orb_a', scene.attrs)
self.assertNotIn('orbital_parameters', scene.attrs)
self.assertNotIn('georef_offset_corrected', scene.attrs)
def test_wavelength_range_cf_roundtrip():
"""Test the wavelength range object roundtrip to cf."""
from satpy.dataset.dataid import WavelengthRange
wr = WavelengthRange(1, 2, 3)
assert WavelengthRange.from_cf(wr.to_cf()) == wr
assert WavelengthRange.from_cf([str(item) for item in wr]) == wr
def test_seviri_hrv_has_priority_over_vis008(self):
"""Check that the HRV channel has priority over VIS008 when querying 0.8µm."""
dids = [DataID(self.default_id_keys_config, name='HRV',
wavelength=WavelengthRange(min=0.5, central=0.7, max=0.9, unit='µm'), resolution=1000.134348869,
calibration="reflectance", modifiers=()),
DataID(self.default_id_keys_config, name='HRV',
wavelength=WavelengthRange(min=0.5, central=0.7, max=0.9, unit='µm'), resolution=1000.134348869,
calibration="radiance", modifiers=()),
DataID(self.default_id_keys_config, name='HRV',
wavelength=WavelengthRange(min=0.5, central=0.7, max=0.9, unit='µm'), resolution=1000.134348869,
calibration="counts", modifiers=()),
DataID(self.default_id_keys_config, name='VIS006',
wavelength=WavelengthRange(min=0.56, central=0.635, max=0.71, unit='µm'),
resolution=3000.403165817, calibration="reflectance", modifiers=()),
DataID(self.default_id_keys_config, name='VIS006',
wavelength=WavelengthRange(min=0.56, central=0.635, max=0.71, unit='µm'),
resolution=3000.403165817, calibration="radiance", modifiers=()),
DataID(self.default_id_keys_config, name='VIS006',
wavelength=WavelengthRange(min=0.56, central=0.635, max=0.71, unit='µm'),
resolution=3000.403165817, calibration="counts", modifiers=()),
DataID(self.default_id_keys_config, name='VIS008',
wavelength=WavelengthRange(min=0.74, central=0.81, max=0.88, unit='µm'),
resolution=3000.403165817, calibration="reflectance", modifiers=()),
DataID(self.default_id_keys_config, name='VIS008',
wavelength=WavelengthRange(min=0.74, central=0.81, max=0.88, unit='µm'),
resolution=3000.403165817, calibration="radiance", modifiers=()),
DataID(self.default_id_keys_config, name='VIS008',
wavelength=WavelengthRange(min=0.74, central=0.81, max=0.88, unit='µm'),
resolution=3000.403165817, calibration="counts", modifiers=())]
dq = DataQuery(wavelength=0.8)
res, distances = dq.sort_dataids(dids)
assert res[0].name == "HRV"
class _VIIRSCoefficients(_Coefficients):
# Values from crefl 1.7.1
LUTS = [
# aH2O
np.array([
0.000406601, 0.0015933, 0, 1.78644e-05, 0.00296457, 0.000617252,
0.000996563, 0.00222253, 0.00094005, 0.000563288, 0, 0, 0, 0, 0, 0
]),
# bH2O
np.array([
0.812659, 0.832931, 1., 0.8677850, 0.806816, 0.944958, 0.78812,
0.791204, 0.900564, 0.942907, 0, 0, 0, 0, 0, 0
]),
# aO3
np.array([
0.0433461, 0.0, 0.0178299, 0.0853012, 0, 0, 0, 0.0813531, 0, 0,
0.0663, 0.0836, 0.0485, 0.0395, 0.0119, 0.00263
]),
# taur0
np.array([
0.04350, 0.01582, 0.16176, 0.09740, 0.00369, 0.00132, 0.00033,
0.05373, 0.01561, 0.00129, 0.1131, 0.0994, 0.0446, 0.0416, 0.0286,
0.0155
]),
]
# resolution -> wavelength -> coefficient index
# resolution -> band name -> coefficient index
COEFF_INDEX_MAP = {
1000: {
WavelengthRange(0.662, 0.6720, 0.682): 0, # M05
"M05": 0,
WavelengthRange(0.846, 0.8650, 0.885): 1, # M07
"M07": 1,
WavelengthRange(0.478, 0.4880, 0.498): 2, # M03
"M03": 2,
WavelengthRange(0.545, 0.5550, 0.565): 3, # M04
"M04": 3,
WavelengthRange(1.230, 1.2400, 1.250): 4, # M08
"M08": 4,
WavelengthRange(1.580, 1.6100, 1.640): 5, # M10
"M10": 5,
WavelengthRange(2.225, 2.2500, 2.275): 6, # M11
"M11": 6,
},
500: {
WavelengthRange(0.600, 0.6400, 0.680): 7, # I01
"I01": 7,
WavelengthRange(0.845, 0.8650, 0.884): 8, # I02
"I02": 8,
WavelengthRange(1.580, 1.6100, 1.640): 9, # I03
"I03": 9,
},
}
class _ABICoefficients(_Coefficients):
RG_FUDGE = .55 # This number is what Ralph says "looks good" for ABI/AHI
LUTS = [
# aH2O
np.array([
2.4111e-003, 7.8454e-003 * RG_FUDGE, 7.9258e-3, 9.3392e-003,
2.53e-2
]),
# aO2 (bH2O for other instruments)
np.array(
[1.2360e-003, 3.7296e-003, 177.7161e-006, 10.4899e-003, 1.63e-2]),
# aO3
np.array([
4.2869e-003, 25.6509e-003 * RG_FUDGE, 802.4319e-006, 0.0000e+000,
2e-5
]),
# taur0
np.array([
184.7200e-003, 52.3490e-003, 15.8450e-003, 1.3074e-003,
311.2900e-006
]),
]
# resolution -> wavelength -> coefficient index
# resolution -> band name -> coefficient index
COEFF_INDEX_MAP = {
2000: {
WavelengthRange(0.450, 0.470, 0.490):
0, # C01
"C01":
0,
WavelengthRange(0.590, 0.640, 0.690):
1, # C02
"C02":
1,
WavelengthRange(0.8455, 0.865, 0.8845):
2, # C03
"C03":
2,
# WavelengthRange((1.3705, 1.378, 1.3855)): None, # C04 - No coefficients yet
# "C04": None,
WavelengthRange(1.580, 1.610, 1.640):
3, # C05
"C05":
3,
WavelengthRange(2.225, 2.250, 2.275):
4, # C06
"C06":
4
},
}
def fake_multiscene4():
"""Like fake_multiscene2, but with varying areas (none stacked)."""
from satpy.dataset.dataid import WavelengthRange
from satpy.tests.utils import make_dataid
common_attrs = {}
wl = {
"C08": WavelengthRange(5.7, 6.2, 6.7),
"C10": WavelengthRange(6.8, 7.3, 7.8),
"C14": WavelengthRange(10, 11, 12)
}
content = {
make_dataid(name=x, wavelength=wl.get(x)):
numpy.arange(5 * 5).reshape(5, 5)
for x in ("C08", "C10", "C14")
}
content[make_dataid(
name="flash_extent_density")] = numpy.arange(5 * 5).reshape(5, 5) + 1
areas = [
pyresample.create_area_def("test-area", {
"proj": "eqc",
"lat_ts": 0,
"lat_0": 0,
"lon_0": 0,
"x_0": 0,
"y_0": 0,
"ellps": "sphere",
"units": "m",
"no_defs": None,
"type": "crs"
},
units="m",
shape=(5, 5),
resolution=1000,
center=(10 * i, 20 * i)) for i in range(3)
]
aids = [0, 0, 0, 0, 0, 0, 1, 1, 1, 2]
scenes = [
satpy.tests.utils.make_fake_scene(content.copy(),
common_attrs=common_attrs,
area=areas[i]) for i in aids
]
for (i, sc) in enumerate(scenes):
for da in sc.values():
da.attrs["start_time"] = datetime.datetime(1900, 1, 1, 0, i)
da.attrs["end_time"] = datetime.datetime(1900, 1, 1, 0, i + 1)
return satpy.MultiScene(scenes)
def _dataset_for_prefix_testing(self):
data_visir = [[1, 2], [3, 4]]
y_visir = [1, 2]
x_visir = [1, 2]
lat = 33.0 * np.array([[1, 2], [3, 4]])
lon = -13.0 * np.array([[1, 2], [3, 4]])
vis006 = xr.DataArray(data_visir,
dims=('y', 'x'),
coords={
'y': y_visir,
'x': x_visir
},
attrs={
'name':
'1',
'id_tag':
'ch_r06',
'coordinates':
'lat lon',
'resolution':
1000,
'calibration':
'reflectance',
'wavelength':
WavelengthRange(min=0.58,
central=0.63,
max=0.68,
unit='µm')
})
lat = xr.DataArray(lat,
dims=('y', 'x'),
coords={
'y': y_visir,
'x': x_visir
},
attrs={
'name': 'lat',
'standard_name': 'latitude',
'modifiers': np.array([])
})
lon = xr.DataArray(lon,
dims=('y', 'x'),
coords={
'y': y_visir,
'x': x_visir
},
attrs={
'name': 'lon',
'standard_name': 'longitude',
'modifiers': np.array([])
})
scene = Scene()
scene.attrs['sensor'] = ['avhrr-1', 'avhrr-2', 'avhrr-3']
scene['1'] = vis006
scene['lat'] = lat
scene['lon'] = lon
return scene
def test_wavelength_range():
"""Test the wavelength range object."""
from satpy.dataset.dataid import WavelengthRange
wr = WavelengthRange(1, 2, 3)
assert 1.2 == wr
assert .9 != wr
assert wr == (1, 2, 3)
assert wr == (1, 2, 3, 'µm')
# Check containement
assert 1.2 in wr
assert .9 not in wr
assert WavelengthRange(1, 2, 3) in wr
assert WavelengthRange(1.1, 2.2, 3.3) not in wr
assert WavelengthRange(1.2, 2, 2.8) in wr
assert WavelengthRange(10, 20, 30) not in wr
assert 'bla' not in wr
assert None not in wr
wr2 = WavelengthRange(1, 2, 3, 'µm')
assert wr2 in wr
wr2 = WavelengthRange(1, 2, 3, 'nm')
with pytest.raises(NotImplementedError):
wr2 in wr
# Check __str__
assert str(wr) == "2 µm (1-3 µm)"
assert str(wr2) == "2 nm (1-3 nm)"
def test_update_coords(self, get_mean_acq_time):
"""Test updating coordinates."""
get_mean_acq_time.return_value = xr.DataArray([7, 8, 9], dims=('x', ))
seviri2pps.BANDNAMES = ['VIS006', 'IR_108']
vis006 = xr.DataArray(data=[1, 2, 3],
dims=('x', ),
coords={'acq_time': ('x', [0, 0, 0])},
attrs={
'area': 'myarea',
'wavelength':
WavelengthRange(0.56, 0.635, 0.71),
'start_time': dt.datetime(2009, 7, 1, 0)
})
ir_108 = xr.DataArray(data=[4, 5, 6],
dims=('x', ),
coords={'acq_time': ('x', [0, 0, 0])},
attrs={
'start_time': dt.datetime(2009, 7, 1, 1),
'wavelength':
WavelengthRange(9.8, 10.8, 11.8)
})
scene_dict = {'VIS006': vis006.copy(), 'IR_108': ir_108.copy()}
scene = mock.MagicMock(attrs={})
scene.__getitem__.side_effect = scene_dict.__getitem__
seviri2pps.update_coords(scene)
self.assertEqual(scene.attrs['area'], 'myarea')
for band in seviri2pps.BANDNAMES:
self.assertEqual(scene[band].attrs['coordinates'], 'lon lat')
np.testing.assert_array_equal(scene[band].coords['acq_time'].data,
[7, 8, 9])
np.testing.assert_array_equal(scene['VIS006'].data, vis006.data)
np.testing.assert_array_equal(scene['IR_108'].data, ir_108.data)
np.testing.assert_array_equal(
scene['VIS006'].coords['time'].data,
np.datetime64(dt.datetime(2009, 7, 1, 0)))
np.testing.assert_array_equal(
scene['IR_108'].coords['time'].data,
np.datetime64(dt.datetime(2009, 7, 1, 1)))
def get_fake_scene():
scene = Scene()
start_time = dt.datetime(2020, 1, 1, 12)
scene['VIS006'] = xr.DataArray(
[[1, 2], [3, 4]],
dims=('y', 'x'),
attrs={
'calibration': 'reflectance',
'sun_earth_distance_correction_applied': True,
'start_time': start_time,
'wavelength': WavelengthRange(0.56, 0.635, 0.71)
})
scene['IR_108'] = xr.DataArray(
[[5, 6], [7, 8]],
dims=('y', 'x'),
attrs={
'calibration': 'brightness_temperature',
'start_time': start_time,
'wavelength': WavelengthRange(9.8, 10.8, 11.8)
})
scene.attrs['sensor'] = {'seviri'}
return scene
def _assign_ds_info(self, var_name, val):
"""Assign ds_info."""
ds_info = dict(val.attrs)
ds_info['file_type'] = self.filetype_info['file_type']
ds_info['name'] = ds_info['nc_store_name'] = var_name
if 'original_name' in ds_info:
ds_info['name'] = ds_info['original_name']
elif self._numeric_name_prefix and var_name.startswith(self._numeric_name_prefix):
ds_info['name'] = var_name.replace(self._numeric_name_prefix, '')
try:
ds_info['wavelength'] = WavelengthRange.from_cf(ds_info['wavelength'])
except KeyError:
pass
return ds_info
def _dynamic_datasets(self):
"""Add information of dynamic datasets."""
nc = xr.open_dataset(self.filename, engine=self.engine)
# get dynamic variables known to this file (that we created)
for var_name, val in nc.data_vars.items():
ds_info = dict(val.attrs)
ds_info['file_type'] = self.filetype_info['file_type']
ds_info['name'] = var_name
try:
ds_info['wavelength'] = WavelengthRange.from_cf(
ds_info['wavelength'])
except KeyError:
pass
self.fix_modifier_attr(ds_info)
yield True, ds_info
def test_mcmip_get_dataset(self, xr_):
"""Test getting channel from MCMIP file."""
from datetime import datetime
from pyresample.geometry import AreaDefinition
from satpy import Scene
from satpy.dataset.dataid import WavelengthRange
xr_.open_dataset.return_value = _create_mcmip_dataset()
fn = "OR_ABI-L2-MCMIPF-M6_G16_s20192600241149_e20192600243534_c20192600245360.nc"
scn = Scene(reader='abi_l2_nc', filenames=[fn])
scn.load(['C14'])
exp_data = np.array([[2 * 0.3052037, np.nan],
[32768 * 0.3052037, 32767 * 0.3052037]])
exp_attrs = {
'instrument_ID': None,
'modifiers': (),
'name': 'C14',
'orbital_slot': None,
'reader': 'abi_l2_nc',
'platform_name': 'GOES-16',
'platform_shortname': 'G16',
'production_site': None,
'satellite_altitude': 35786020.,
'satellite_latitude': 0.0,
'satellite_longitude': -89.5,
'scan_mode': 'M6',
'scene_id': None,
'sensor': 'abi',
'timeline_ID': None,
'start_time': datetime(2017, 9, 20, 17, 30, 40, 800000),
'end_time': datetime(2017, 9, 20, 17, 41, 17, 500000),
'calibration': 'brightness_temperature',
'ancillary_variables': [],
'wavelength': WavelengthRange(10.8, 11.2, 11.6, unit='µm'),
'units': 'm'
}
res = scn['C14']
np.testing.assert_allclose(res.data, exp_data, equal_nan=True)
assert isinstance(res.attrs['area'], AreaDefinition)
# don't complicate the comparison below
for key in ('area', '_satpy_id'):
del res.attrs[key]
assert dict(res.attrs) == exp_attrs
class _MODISCoefficients(_Coefficients):
# Values from crefl 1.7.1
LUTS = [
# aH2O
np.array([
-5.60723, -5.25251, 0, 0, -6.29824, -7.70944, -3.91877, 0, 0, 0, 0,
0, 0, 0, 0, 0
]),
# bH2O
np.array([
0.820175, 0.725159, 0, 0, 0.865732, 0.966947, 0.745342, 0, 0, 0, 0,
0, 0, 0, 0, 0
]),
# aO3
np.array([
0.0715289, 0, 0.00743232, 0.089691, 0, 0, 0, 0.001, 0.00383,
0.0225, 0.0663, 0.0836, 0.0485, 0.0395, 0.0119, 0.00263
]),
# taur0
np.array([
0.05100, 0.01631, 0.19325, 0.09536, 0.00366, 0.00123, 0.00043,
0.3139, 0.2375, 0.1596, 0.1131, 0.0994, 0.0446, 0.0416, 0.0286,
0.0155
]),
]
# Map of pixel resolutions -> wavelength -> coefficient index
# Map of pixel resolutions -> band name -> coefficient index
COEFF_INDEX_MAP = {
1000: {
WavelengthRange(0.620, 0.6450, 0.670): 0,
"1": 0,
WavelengthRange(0.841, 0.8585, 0.876): 1,
"2": 1,
WavelengthRange(0.459, 0.4690, 0.479): 2,
"3": 2,
WavelengthRange(0.545, 0.5550, 0.565): 3,
"4": 3,
WavelengthRange(1.230, 1.2400, 1.250): 4,
"5": 4,
WavelengthRange(1.628, 1.6400, 1.652): 5,
"6": 5,
WavelengthRange(2.105, 2.1300, 2.155): 6,
"7": 6,
}
}
COEFF_INDEX_MAP[500] = COEFF_INDEX_MAP[1000]
COEFF_INDEX_MAP[250] = COEFF_INDEX_MAP[1000]
def setUp(self):
"""Create a test scene."""
tstart = datetime(2019, 4, 1, 12, 0)
tend = datetime(2019, 4, 1, 12, 15)
data_visir = [[1, 2], [3, 4]]
y_visir = [1, 2]
x_visir = [1, 2]
z_visir = [1, 2, 3, 4, 5, 6, 7]
qual_data = [[1, 2, 3, 4, 5, 6, 7], [1, 2, 3, 4, 5, 6, 7]]
time_vis006 = [1, 2]
lat = 33.0 * np.array([[1, 2], [3, 4]])
lon = -13.0 * np.array([[1, 2], [3, 4]])
common_attrs = {
'start_time': tstart,
'end_time': tend,
'platform_name': 'tirosn',
'orbit_number': 99999
}
vis006 = xr.DataArray(data_visir,
dims=('y', 'x'),
coords={
'y': y_visir,
'x': x_visir,
'acq_time': ('y', time_vis006)
},
attrs={
'name':
'image0',
'id_tag':
'ch_r06',
'coordinates':
'lat lon',
'resolution':
1000,
'calibration':
'reflectance',
'wavelength':
WavelengthRange(min=0.58,
central=0.63,
max=0.68,
unit='µm')
})
ir_108 = xr.DataArray(data_visir,
dims=('y', 'x'),
coords={
'y': y_visir,
'x': x_visir,
'acq_time': ('y', time_vis006)
},
attrs={
'name': 'image1',
'id_tag': 'ch_tb11',
'coordinates': 'lat lon'
})
qual_f = xr.DataArray(qual_data,
dims=('y', 'z'),
coords={
'y': y_visir,
'z': z_visir,
'acq_time': ('y', time_vis006)
},
attrs={
'name': 'qual_flags',
'id_tag': 'qual_flags'
})
lat = xr.DataArray(lat,
dims=('y', 'x'),
coords={
'y': y_visir,
'x': x_visir
},
attrs={
'name': 'lat',
'standard_name': 'latitude',
'modifiers': np.array([])
})
lon = xr.DataArray(lon,
dims=('y', 'x'),
coords={
'y': y_visir,
'x': x_visir
},
attrs={
'name': 'lon',
'standard_name': 'longitude',
'modifiers': np.array([])
})
self.scene = Scene()
self.scene.attrs['sensor'] = ['avhrr-1', 'avhrr-2', 'avhrr-3']
scene_dict = {
'image0': vis006,
'image1': ir_108,
'lat': lat,
'lon': lon,
'qual_flags': qual_f
}
for key in scene_dict:
self.scene[key] = scene_dict[key]
self.scene[key].attrs.update(common_attrs)
