Newer
Older
try:
from ruamel import yaml as yml
except ImportError:
import ruamel_yaml as yml
import numpy as np
from glob import glob
import spectral_tests as tst
from tests import CloudTests
import scene as scn
import restoral
Paolo Veglio
committed
# #################################################################### #
# TEST CASE
# data:
_datapath = '/ships19/hercules/pveglio/mvcm_viirs_hires'
Paolo Veglio
committed
_fname_mod02 = glob(f'{_datapath}/VNP02MOD.A2022173.1454.001.*.uwssec_bowtie_restored.nc')[0]
_fname_mod03 = glob(f'{_datapath}/VNP03MOD.A2022173.1454.001.*.uwssec.nc')[0]
Paolo Veglio
committed
_fname_img02 = glob(f'{_datapath}/VNP02IMG.A2022173.1454.001.*.uwssec_bowtie_restored.nc')[0]
_fname_img03 = glob(f'{_datapath}/VNP03IMG.A2022173.1454.001.*.uwssec.nc')[0]
Paolo Veglio
committed
# thresholds:
_threshold_file = '/home/pveglio/mvcm/thresholds.mvcm.snpp.v0.0.1.yaml'
Paolo Veglio
committed
# ancillary files:
_geos_atm_1 = 'GEOS.fpit.asm.inst3_2d_asm_Nx.GEOS5124.20220622_1200.V01.nc4'
_geos_atm_2 = 'GEOS.fpit.asm.inst3_2d_asm_Nx.GEOS5124.20220622_1500.V01.nc4'
_geos_land = 'GEOS.fpit.asm.tavg1_2d_lnd_Nx.GEOS5124.20220622_1430.V01.nc4'
_geos_ocean = 'GEOS.fpit.asm.tavg1_2d_ocn_Nx.GEOS5124.20220622_1430.V01.nc4'
Paolo Veglio
committed
_geos_constants = 'GEOS.fp.asm.const_2d_asm_Nx.00000000_0000.V01.nc4'
_ndvi_file = 'NDVI.FM.c004.v2.0.WS.00-04.177.hdf'
_sst_file = 'oisst.20220622'
_eco_file = 'goge1_2_img.v1'
Paolo Veglio
committed
# #################################################################### #
Paolo Veglio
committed
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
def main(*,
data_path: str = _datapath,
mod02: str = _fname_mod02,
mod03: str = _fname_mod03,
img02: str = _fname_img02,
img03: str = _fname_img03,
threshold_file: str = _threshold_file,
geos_atm_1: str = _geos_atm_1,
geos_atm_2: str = _geos_atm_2,
geos_land: str = _geos_land,
geos_ocean: str = _geos_ocean,
geos_constants: str = _geos_constants,
ndvi_file: str = _ndvi_file,
sst_file: str = _sst_file) -> None:
"""Main function for the MVCM.
Parameters
----------
data_path: str
path where the data is stored
mod02: str
VIIRS MOD02 file name
mod03: str
VIIRS MOD03 file name
img02: str
VIIRS IMG02 file name
img03: str
VIIRS IMG03 file name
threshold_file: str
thresholds file name
geos_atm_1: str
file name of first GEOS5 file for atmospheric parameters
goes_atm_2: str
file name of second GEOS5 file for atmospheric parameters
geos_land: str
file name of GEOS5 land parameters
geos_ocean: str
file name of GEOS5 ocean parameters
geos_constants: str
file name of GEOS5 constants
ndvi_file: str
NDVI file name
sst_file:
Sea surface temperature file name
Returns
-------
None
"""
Paolo Veglio
committed
file_names = {'MOD02': f'{mod02}',
'MOD03': f'{mod03}',
'IMG02': f'{img02}',
'IMG03': f'{img03}',
'GEOS_atm_1': f'{geos_atm_1}',
'GEOS_atm_2': f'{geos_atm_2}',
'GEOS_land': f'{geos_land}',
'GEOS_ocean': f'{geos_ocean}',
'GEOS_constants': f'{geos_constants}',
'NDVI': f'{ndvi_file}',
'SST': f'{sst_file}',
'ANC_DIR': f'{data_path}/ancillary'
}
Paolo Veglio
committed
with open(threshold_file) as f:
text = f.read()
thresholds = yml.safe_load(text)
sunglint_angle = thresholds['Sun_Glint']['bounds'][3]
viirs_data = rd.get_data(file_names, sunglint_angle)
# Initialize the confidence arrays for the various test groups
cmin_G1 = np.ones(viirs_data.M01.shape)
cmin_G2 = np.ones(viirs_data.M01.shape)
cmin_G3 = np.ones(viirs_data.M01.shape)
cmin_G4 = np.ones(viirs_data.M01.shape)
cmin_G5 = np.ones(viirs_data.M01.shape)
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
##########################################################
"""
for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert_Coast',
'Ocean_Day', 'Ocean_Night', 'Polar_Day_Ocean', 'Polar_Night_Ocean',
'Polar_Day_Land', 'Polar_Day_Coast', 'Polar_Day_Desert',
'Polar_Day_Desert_Coast', 'Polar_Day_Snow', 'Land_Night',
'Polar_Night_Land', 'Polar_Night_Snow', 'Day_Snow', 'Night_Snow']:
"""
for scene_name in ['Ocean_Day']:
MyScene = tst.CloudTests(viirs_data, scene_name, thresholds)
cmin_G1, bit1 = MyScene.test_11um('M15', cmin_G1, test_name='11um_Test')
cmin_G1, bit2 = MyScene.sst_test('M15', 'M16', cmin_G1, test_name='SST_Test')
cmin_G2, bit3 = MyScene.bt_diff_86_11um('M14-M15', cmin_G2, test_name='8.6-11um_Test')
cmin_G2, bit4 = MyScene.test_11_12um_diff('M15-M16', cmin_G2, test_name='11-12um_Cirrus_Test')
cmin_G2, bit5 = MyScene.oceanic_stratus_11_4um_test('M15-M12', cmin_G2,
test_name='11-4um_Oceanic_Stratus_Test')
cmin_G3, bit6 = MyScene.nir_reflectance_test('M07', cmin_G3, test_name='NIR_Reflectance_Test')
cmin_G3, bit7 = MyScene.vis_nir_ratio_test('M07-M05ratio', cmin_G3, test_name='Vis/NIR_Ratio_Test')
cmin_G3, bit8 = MyScene.nir_reflectance_test('M10', cmin_G3, test_name='1.6_2.1um_NIR_Reflectance_Test')
cmin_G3, bit9 = MyScene.visible_reflectance_test('M128', cmin_G3, test_name='Visible_Reflectance_Test')
cmin_G3, bit10 = MyScene.gemi_test('GEMI', cmin_G3, test_name='GEMI_Test')
cmin_G4, bit11 = MyScene.test_1_38um_high_clouds('M09', cmin_G4, test_name='1.38um_High_Cloud_Test')
cmin_G5, bit12 = MyScene.thin_cirrus_4_12um_BTD_test('M13-M16', cmin_G5,
test_name='4-12um_BTD_Thin_Cirrus_Test')
cmin = cmin_G1 * cmin_G2 * cmin_G3 * cmin_G4 * cmin_G5
if scene_name in ['Ocean_Day']:
# total_bit = np.full(viirs_data.M01.shape, 4)
total_bit = bit1 + bit2 + bit4 + bit11
sunglint_angle = thresholds['Sun_Glint']['bounds'][3]
scene_flags = scn.find_scene(viirs_data, sunglint_angle)
# idx = np.nonzero((scene_flags['water'] == 1) & (scene_flags['ice'] == 0) &
# (scene_flags['uniform'] == 1) & (cmin <= 0.99) & (cmin >= 0.05))
# cmin[idx] = restoral.spatial(viirs_data, thresholds['Sun_Glint'], scene_flags, cmin)[idx]
idx = np.nonzero((scene_flags['water'] == 1) & (scene_flags['sunglint'] == 1) &
(scene_flags['uniform'] == 1) & (cmin <= 0.95))
cmin[idx] = restoral.sunglint(viirs_data, thresholds['Sun_Glint'], total_bit, cmin)[idx]
# MVCM = tst.ComputeTests(viirs_data, scene_name, thresholds)
# cmin = MVCM.clear_sky_restoral(cmin)
# return cmin
np.savez('test_ams', confidence=cmin, lat=viirs_data.latitude.values, lon=viirs_data.longitude.values)
##########################################################
"""
# ------------------- #
# ### Testing Setup ###
# ------------------- #
perform = {'11um BT Test': True,
'CO2 High Clouds Test': False,
'Water Vapor High Clouds Test': False,
'8.6-11um BT Difference Test': False,
'11-12um BTD Thin Cirrus Test': False,
'11-4um BT Difference Test': False,
'7.3-11um BT Difference Mid-level Clouds': False,
'Water Vapor Cloud Test': False,
'11um BT Variability Test': False,
'11-4um BTD Oceanic Stratus': False,
'NIR Reflectance Test': False,
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
'Vis/NIR Ratio Test': False,
'1.6um or 2.1um NIR Reflectance Test': False,
'Visible Reflectance Test': False,
'GEMI Test': False,
'1.38um High Cloud Test': False,
'4-12um BTD Thin Cirrus Test': False
}
# --------------------- #
# ### Group 1 Tests ### #
# --------------------- #
if perform['11um BT Test'] is True:
# 11um BT Test
for scene_name in ['Ocean_Day', 'Ocean_Night', 'Polar_Ocean_Day', 'Polar_Ocean_Night']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G1 = SceneType.single_threshold_test('11um_Test', 'M15', cmin_G1)
if perform['CO2 High Clouds Test'] is True:
# CO2 High Clouds Test
for scene_name in ['Land_Day', 'Land_Night', 'Land_Day_Coast', 'Land_Day_Desert',
'Land_Day_Desert_Coast', 'Ocean_Day', 'Ocean_Night', 'Day_Snow', 'Night_Snow']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G1 = SceneType.single_threshold_test('CO2_High_Clouds_tests', 'bad_data', cmin_G1)
if perform['Water Vapor High Clouds Test'] is True:
# Water Vapor High Clouds Test
for scene_name in ['Land_Day', 'Land_Night', 'Land_Day_Coast', 'Land_Day_Desert',
'Land_Day_Desert_Coast', 'Ocean_Day', 'Ocean_Night', 'Polar_Day_Land',
'Polar_Night_Land', 'Polar_Day_Coast', 'Polar_Day_Desert',
'Polar_Day_Desert_Coast', 'Polar_Day_Snow', 'Polar_Night_Snow', 'Polar_Ocean_Day',
'Polar_Ocean_Night', 'Day_Snow', 'Night_Snow', 'Antarctic_Day']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G1 = SceneType.single_threshold_test('Water_Vapor_High_Clouds_tests', 'bad_data', cmin_G1)
if perform['Surface Temperature Test'] is True:
# Surface Temperature Test
# NOTE: this test requires the thresholds to be preprocessed
for scene_name in ['Land_Night', 'Polar_Night_Land']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G1 = SceneType.single_threshold_test('Surface_Temperature_Test', 'M15-M16', cmin_G1)
if perform['SST Test'] is True:
# SST Test
for scene_name in ['Ocean_Day', 'Ocean_Night', 'Polar_Ocean_Day', 'Polar_Ocean_Night']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G1 = SceneType.single_threshold_test('SST_Test', 'M15-M16', cmin_G1)
# --------------------- #
# ### Group 2 tests ### #
# --------------------- #
if perform['8.6-11um BT Difference Test'] is True:
# 8.6-11um BT Difference Test
for scene_name in ['Ocean_Day', 'Ocean_Night', 'Polar_Ocean_Day', 'Polar_Ocean_Night']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G2 = SceneType.single_threshold_test('8.6-11um_Test', 'M15-M14', cmin_G2)
if perform['11-12um BTD Thin Cirrus Test'] is True:
# 11-12um BT BTD Transmissive Cirrus Test
# NOTE: some of the tests have some differences in how the thresholds are derived
# The commented list scene_name is the complete list, the one currently in use is to test that
# the template code works at least with a subset of scenes that have the same way of deriving the
# thresholds
# for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
# 'Ocean_Day', 'Ocean_Night', 'Polar_Day_Land', 'Polar_Day_Coast',
# 'Polar_Day_Desert', 'Polar_Day_Desert_Coast', 'Polar_Day_Snow', 'Polar_Night_Snow',
# 'Polar_Ocean_Day', 'Polar_Ocean_Night', 'Day_Snow', 'Night_Snow']:
for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
'Ocean_Day', 'Ocean_Night', 'Polar_Ocean_Day', 'Polar_Ocean_Night']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G2 = SceneType.single_threshold_test('11-12um_Cirrus_Test', 'M15-M16', cmin_G2)
if perform['11-4um BT Difference Test'] is True:
# 11-4um BT Difference Test
for scene_name in ['Ocean_Night', 'Polar_Ocean_Night']:
pass
if perform['7.3-11um BT Difference Mid-level Clouds'] is True:
for scene_name in ['Land_Night', 'Polar_Night_Land', 'Polar_Night_Snow', 'Night_Snow']:
pass
if perform['Water Vapor Cloud Test'] is True:
for scene_name in ['Polar_Night_Ocean']:
pass
if perform['11um BT Variability Test'] is True:
Paolo Veglio
committed
for scene_name in ['Ocean_Night', 'Polar_Night_Ocean']:
pass
if perform['11-4um BTD Oceanic Stratus'] is True:
# 11-4um BT Difference for oceanic stratus (low emissivity water cloud) Test
for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
'Ocean_Day', 'Ocean_Night', 'Polar_Day_Land', 'Polar_Day_Coast',
'Polar_Day_Desert', 'Polar_Day_Desert_Coast', 'Polar_Day_Snow', 'Polar_Night_Snow',
'Polar_Ocean_Day', 'Polar_Ocean_Night', 'Day_Snow', 'Night_Snow']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G2 = SceneType.single_threshold_test('11-4um_Oceanic_Stratus_Test', 'M15-M13', cmin_G2)
# --------------------- #
# ### Group 3 tests ### #
# --------------------- #
if perform['NIR Reflectance Test'] is True:
for scene_name in ['Ocean_Day', 'Polar_Ocean_Day']:
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G3 = SceneType.single_thredhold_test('NIR_Reflectance_Test', 'M07', cmin_G3)
if perform['Vis/NIR Ratio Test'] is True:
for scene_name in ['Ocean_Day', 'Polar_Ocean_Day']:
pass
if perform['1.6um or 2.1um NIR Reflectance Test'] is True:
for scene_name in ['Ocean_Day', 'Polar_Ocean_Day']:
pass
if perform['Visible Reflectance Test'] is True:
for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
'Polar_Day_Land', 'Polar_Day_Coast', 'Polar_Day_Desert', 'Polar_Day_Desert_Coast']:
pass
if perform['GEMI Test'] is True:
for scene_name in ['Land_Day_Desert', 'Polar_Day_Desert']:
pass
# --------------------- #
# ### Group 4 tests ### #
# --------------------- #
if perform['1.38um High Cloud Test'] is True:
# for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
# 'Ocean_Day', 'Polar_Day_Land', 'Polar_Day_Coast', 'Polar_Day_Desert',
# 'Polar_Day_Desert_Coast', 'Polar_Ocean_Day', 'Day_Snow']:
for scene_name in ['Land_Day', 'Land_Day_Coast', 'Land_Day_Desert', 'Land_Day_Desert_Coast',
'Polar_Day_Land', 'Polar_Day_Coast', 'Polar_Day_Desert',
'Polar_Day_Desert_Coast', 'Day_Snow']:
# The current loop is missing Ocean_Day and Polar_Ocean_Day because they need some
# preprocessing to compute the thresholds. Once things are implemented I can use the commented
# loop
SceneType = CloudTests(viirs_data, scene_name, thresholds)
cmin_G4 = SceneType.single_threshold_test('1.38um_High_Cloud_Test', 'M09', cmin_G4)
# --------------------- #
# ### Group 5 tests ### #
# --------------------- #
if perform['4-12um BTD Thin Cirrus Test'] is True:
for scene_name in ['Land_Night', 'Polar_Night_Land', 'Polar_Night_Snow', 'Night_Snow']:
pass
cmin_total = cmin_G1 * cmin_G2 * cmin_G3 * cmin_G4 * cmin_G5
return cmin_total
'''
Land_Day = CloudTests(viirs_data, 'Land_Day', thresholds)
Land_Night = CloudTests(viirs_data, 'Land_Night', thresholds)
Land_Day_Coast = CloudTests(viirs_data, 'Land_Day_Coast', thresholds)
Land_Day_Desert = CloudTests(viirs_data, 'Land_Day_Desert', thresholds)
Land_Day_Desert_Coast = CloudTests(viirs_data, 'Land_Day_Desert_Coast', thresholds)
Ocean_Day = CloudTests(viirs_data, 'Ocean_Day', thresholds)
Ocean_Night = CloudTests(viirs_data, 'Ocean_Night', thresholds)
Polar_Day_Land = CloudTests(viirs_data, 'Polar_Day_Land', thresholds)
Polar_Night_Land = CloudTests(viirs_data, 'Polar_Night_Land', thresholds)
Polar_Day_Coast = CloudTests(viirs_data, 'Polar_Day_Coast', thresholds)
Polar_Day_Desert = CloudTests(viirs_data, 'Polar_Day_Desert', thresholds)
Polar_Day_Desert_Coast = CloudTests(viirs_data, 'Polar_Day_Desert_Coast', thresholds)
Polar_Day_Snow = CloudTests(viirs_data, 'Polar_Day_Snow', thresholds)
Polar_Night_Snow = CloudTests(viirs_data, 'Polar_Night_Snow', thresholds)
Polar_Ocean_Day = CloudTests(viirs_data, 'Polar_Ocean_Day', thresholds)
Polar_Ocean_Night = CloudTests(viirs_data, 'Polar_Ocean_Night', thresholds)
Day_Snow = CloudTests(viirs_data, 'Day_Snow', thresholds)
Night_Snow = CloudTests(viirs_data, 'Night_Snow', thresholds)
Antarctic_Day = CloudTests(viirs_data, 'Antarctic_Day', thresholds)
# 11um BT Test
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
cmin_G1 = Ocean_Day.single_threshold_test('11um_Test', 'M15', cmin_G1)
cmin_G1 = Polar_Ocean_Day.single_threshold_test('11um_Test', 'M15', cmin_G1)
cmin_G1 = Polar_Ocean_Night.single_threshold_test('11um_Test', 'M15', cmin_G1)
# CO2 High Clouds Test
# NOTE: VIIRS doesn't have the MODIS equivalent of B35 so this test is not performed
cmin_G1 = Land_Day.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Night.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Day_Coast.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Day_Desert.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Day_Desert_Coast.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Ocean_Day.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Ocean_Night.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Day_Snow.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Night_Snow.single_threshold_test('CO2_High_Clouds_Test', 'bad_data', cmin_G1)
# Water Vapor High Clouds Test
# NOTE: VIIRS doesn't have the MODIS equivalent of B27 so this test is not performed
cmin_G1 = Land_Day.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Night.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Day_Coast.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Day_Desert.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Land_Day_Desert_Coast.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Ocean_Day.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Ocean_Night.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Day_Land.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Night_Land.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Day_Coast.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Day_Desert.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Day_Desert_Coast.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Day_Snow.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Night_Snow.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Ocean_Day.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Polar_Ocean_Night.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Day_Snow.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Night_Snow.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
cmin_G1 = Antarctic_Day.single_threshold_test('Water_Vapor_High_Clouds_Test', 'bad_data', cmin_G1)
# Surface Temperature Test
# ## NOTE: This requires some calculations for the thresholds.
# Moreover this test is using the 11um - 12um difference instead of a single channel
# Also, look at the test carefully for these two cases. Polar_Night_Land uses some hardcoded coeffs
# (i.e. *_df1 and *_df2) that might be worth moving in the thresholds file for consistency
cmin_G1 = Land_Night.single_threshold_test('Surface_Temperature_Test', 'M15-M16', cmin_G1)
cmin_G1 = Polar_Night_Land.single_threshold_test('Surface_Temperature_Test', 'M15-M16', cmin_G1)
# SST Test
# ## NOTE: This requires some calculations for the thresholds.
# Moreover this test is using the 11um - 12um difference instead of a single channel
cmin_G1 = Ocean_Day.single_threshold_test('SST_Test', 'M15-M16', cmin_G1)
cmin_G1 = Polar_Ocean_Day.single_threshold_test('SST_Test', 'M15-M16', cmin_G1)
cmin_G1 = Polar_Ocean_Night.single_threshold_test('SST_Test', 'M15-M16', cmin_G1)
# the following test uses a different set of coefficients compared to the others above
cmin_G1 = Ocean_Night.single_threshold_test('SST_Test', 'M15-M16', cmin_G1)
# 11-8.6um BT Difference Test
cmin_G2 = Ocean_Day.single_threshold_test('11-8.6um_Test', 'M15-M14', cmin_G2)
cmin_G2 = Ocean_Night.single_threshold_test('11-8.6um_Test', 'M15-M14', cmin_G2)
cmin_G2 = Polar_Ocean_Day.single_threshold_test('11-8.6um_Test', 'M15-M14', cmin_G2)
cmin_G2 = Polar_Ocean_Night.single_threshold_test('11-8.6um_Test', 'M15-M14', cmin_G2)
# 11-12um BT Difference
cmin_G1 = Ocean_Day.single_threshold_test('11-12BT_diff',
viirs_data.M15.values-viirs_data.M16.values,
cmin_G1)
Ocean_Night = CloudTests(viirs_data, 'Ocean_Night', thresholds)
cmin_G1 = Ocean_Night.single_threshold_test('11um_test', viirs_data.M15.values, cmin_G1)
cmin_G1 = Ocean_Night.single_threshold_test('11-12um_diff',
viirs_data.M15.values-viirs_data.M16.values,
cmin_G1)
Paolo Veglio
committed
c = np.ones((9, viirs_data['M01'].shape[0], viirs_data['M01'].shape[1]))
cmin1, c[0, :, :], bit1 = odt.simple_test(viirs_data.M15.values, thresholds['Daytime_Ocean']['bt11'], cmin1)
cmin1, c[1, :, :], bit2 = odt.sst_test(viirs_data.M15.values, viirs_data.M16.values,
viirs_data.sensor_zenith.values, viirs_data.geos_sfct.values,
thresholds['Daytime_Ocean']['sst'], cmin1)
cmin2, c[2, :, :], bit3 = odt.simple_test(viirs_data.M14.values-viirs_data.M15.values,
thresholds['Daytime_Ocean']['diff_11_86um'], cmin2)
cmin2, c[3, :, :], bit4 = odt.test_11_12_diff(viirs_data, thresholds['Daytime_Ocean']['diff11_12um'], cmin2)
cmin2, c[4, :, :] = odt.test_11_4_diff(viirs_data.M15.values, viirs_data.M12.values,
thresholds['Daytime_Ocean']['test11_4lo'], scene_flags, cmin2)
cmin3, c[5, :, :] = odt.nir_refl_test(viirs_data.M07.values, thresholds['Daytime_Ocean'],
thresholds['Sun_Glint'], viirs_data, cmin3)
cmin3, c[6, :, :] = odt.vis_nir_ratio_test(viirs_data.M05.values, viirs_data.M07.values,
thresholds, scene_flags, cmin3)
cmin3, c[7, :, :] = odt.nir_refl_test(viirs_data.M10.values, thresholds['Daytime_Ocean'],
thresholds['Sun_Glint'], viirs_data, cmin3)
#
# confidence[0, :, :] = tests.test_11um(viirs_data.M15.values, thresholds['Daytime_Ocean'])
# confidence[1, :, :] = tests.test_11_4diff(viirs_data.M15.values, viirs_data.M13.values,
# thresholds['Daytime_Ocean'], viirs_data,
# thresholds['Sun_Glint']['bounds'][3])
#
# confidence[2, :, :] = tests.nir_refl_test(viirs_data.M07.values, thresholds['Daytime_Ocean'],
# thresholds['Sun_Glint'], viirs_data)
#
# # Note that here I'm using M05/M07 but the corresponding hi-res channels are I1/I2
# # IMPORTANT: conf_test_dble() needs to be verified. I don't think it's working as intended at the moment
# confidence[3, :, :] = tests.vis_nir_ratio_test(viirs_data.M05.values, viirs_data.M07.values,
# thresholds['Daytime_Ocean'], thresholds['Sun_Glint'])
#
# # This test needs to be verified, for the granule I'm running everything is zero
# confidence[4, :, :] = tests.test_11um_var(viirs_data.M15.values, thresholds['Nighttime_Ocean'],
# thresholds['Daytime_Ocean_Spatial_Variability'])
Paolo Veglio
committed
total_bit = bit1 + bit2 + bit4
temp_confidence = cmin1 * cmin2 * cmin3 * cmin4
confidence = cmin1 * cmin2 * cmin3 * cmin4
Paolo Veglio
committed
# idx = np.nonzero((scene_flags['water'] == 1) & (scene_flags['ice'] == 0) & (scene_flags['uniform'] == 1) &
# (confidence <= 0.99) & (confidence >= 0.05))
# confidence[idx] = restoral.spatial(viirs_data, thresholds['Sun_Glint'], scene_flags, confidence)[idx]
Paolo Veglio
committed
idx = np.nonzero((scene_flags['water'] == 1) & (scene_flags['sunglint'] == 1) &
(scene_flags['uniform'] == 1) & (confidence <= 0.95))
confidence[idx] = restoral.sunglint(viirs_data, thresholds['Sun_Glint'], total_bit, temp_confidence)[idx]
temp = np.zeros((viirs_data.M01.shape[0], viirs_data.M01.shape[1]))
temp[idx] = 1
c[8, :, :] = temp
np.savez('test_confidence', confidence=confidence, conf_test=c,
lat=viirs_data.latitude.values, lon=viirs_data.longitude.values)
return confidence
'''
def test_main():
rad1 = [[255, 260, 265, 248, 223],
[278, 285, 270, 268, 256],
[275, 273, 266, 254, 259]]
rad2 = [[270, 273, 271, 268, 265],
[277, 286, 275, 277, 269],
[280, 281, 272, 270, 267]]
thresh_file = '/home/pveglio/mvcm_leo/thresholds/new_thresholds.mvcm.snpp.v1.0.0.yaml'
with open(thresh_file) as f:
text = f.read()
rad1 = np.array(rad1)
rad2 = np.array(rad2)
confidence = np.zeros((2, rad1.shape[0], rad1.shape[1]))
thresholds = yml.safe_load(text)
confidence[0, :, :] = tests.test_11um(rad1, thresholds['Daytime_Ocean'])
confidence[1, :, :] = tests.test_11_4diff(rad1, rad2, thresholds['Daytime_Ocean'])
print(f'Confidence[0,:,:]: \n {confidence[0, :, :]}')
print(f'Confidence[1,:,:]: \n {confidence[1, :, :]}')
return confidence
if __name__ == "__main__":