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meta.py
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meta.py
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import numpy as np
SENSOR_LABEL = { # http://www.ioccg.org/sensors/seawifs.html
'CZCS' : 'Nimbus-7',
'TM' : 'Landsat-5',
'ETM' : 'Landsat-7',
'OLI' : 'Landsat-8',
'OSMI' : 'Arirang-1',
'POLDER' : 'POLDER',
'AER' : 'AERONET',
'OCTS' : 'ADEOS-1',
'SEAWIFS': 'OrbView-2',
'VI' : 'Suomi-NPP',
'MOS' : 'MOS-1',
'MOD' : 'MODIS',
'MODA' : 'MODIS-Aqua',
'MODT' : 'MODIS-Terra',
'MSI' : 'Sentinel-2',
'S2A' : 'Sentinel-2A',
'S2B' : 'Sentinel-2B',
'OLCI' : 'Sentinel-3',
'S3A' : 'Sentinel-3A',
'S3B' : 'Sentinel-3B',
'MERIS' : 'Envisat-1',
'HICO' : 'HICO',
'PRISMA' : 'PRISMA',
'HYPER' : '1nm Hyperspectral',
}
def get_sensor_label(sensor):
sensor, *ext = sensor.split('-')
assert(sensor in SENSOR_LABEL), f'Unknown sensor: {sensor}'
label = SENSOR_LABEL[sensor]
if 'pan' in ext:
label += '+Pan'
return label
# --------------------------------------------------------------
SENSOR_BANDS = {
'CZCS' : [ 443, 520, 550, 670 ],
'TM' : [ 490, 560, 660 ],
'ETM' : [ 483, 560, 662 ],
'ETM-pan' : [ 483, 560, 662, 706],
'OLI' : [ 443, 482, 561, 655 ],
'OLI-SOLID' : [ 443, 482, 561, 655 ],
'OLI-pan' : [ 443, 482, 561, 589, 655, ],
'OLI-full' : [ 443, 482, 561, 655, 865],
'OLI-nan' : [ 443, 482, 561, 589, 655, 865],
'OLI-rho' : [ 443, 482, 561, 655, 865, 1609],
'OSMI' : [412, 443, 490, 555, 765 ],
'POLDER' : [ 443, 490, 565, 670, 765 ],
'AER' : [412, 442, 490, 560, 668 ],
'OCTS' : [412, 443, 490, 520, 565, 670, 765 ],
'SEAWIFS' : [412, 443, 490, 510, 555, 670, 765 ],
'VI' : [410, 443, 486, 551, 671, 745 ],
'VI-sat' : [ 443, 486, 551, 671, 745 ],
'VI-sat_no_NIR' : [ 443, 486, 551, 671, ],
'VI-SOLID' : [410, 443, 486, 551, 671, ],
'MOS' : [408, 443, 485, 520, 570, 615, 650, 685, 750 ],
'MOD' : [412, 443, 469, 488, 531, 551, 555, 645, 667, 678, 748 ],
'MOD-IOP' : [412, 443, 469, 488, 531, 551, 555, 645, 667, 678, ],
'MOD-sat' : [ 443, 469, 488, 531, 551, 555, 645, 748 ],
'MODA-sat_no_NIR' : [ 443, 469, 488, 531, 551, 555, 645, ],
'MOD-poly' : [412, 443, 488, 531, 551, 667, 678, 748 ],
'MOD-SOLID' : [412, 443, 488, 551, 667, 678, ],
'MSI' : [ 443, 490, 560, 665, 705, 740, 783],
'MSI-SOLID' : [ 443, 490, 560, 665, 705, ],
'MSI-rho' : [ 443, 490, 560, 665, 705, 740, 783, 865],
'OLCI' : [411, 442, 490, 510, 560, 619, 664, 673, 681, 708, 753, 778],
'OLCI-full' : [411, 442, 490, 510, 560, 619, 664, 673, 681, 708, 753, 761, 764, 767, 778],
'OLCI-poly' : [411, 442, 490, 510, 560, 619, 664, 681, 708, 753, 778],
'OLCI-sam' : [411, 442, 490, 510, 560, 619, 664, 673, 681, 708, 753, ],
'OLCI-SOLID' : [411, 442, 490, 510, 560, 619, 664, 673, 681, ],
'MERIS' : [412, 442, 490, 510, 560, 620, 665, 681, 708, 753, 760, 778],
'OLCI-sat' : [ 442, 490, 510, 560, 619, 664, 673, 681, 708, ],
'HICO-full' : [409, 415, 421, 426, 432, 438, 444, 449, 455, 461, 467, 472, 478, 484, 490, 495, 501, 507,
512, 518, 524, 530, 535, 541, 547, 553, 558, 564, 570, 575, 581, 587, 593, 598, 604, 610,
616, 621, 627, 633, 638, 644, 650, 656, 661, 667, 673, 679, 684, 690, 696, 701, 707, 713,
719, 724, 730, 736, 742, 747, 753, 759, 764, 770, 776, 782, 787],
'HICO-chl' : [501, 507, 512, 518, 524, 530, 535, 541, 547, 553, 558, 564, 570, 575, 581, 587, 593, 598,
604, 610, 616, 621, 627, 633, 638, 644, 650, 656, 661, 667, 673, 679, 684, 690, 696, 701,
707, 713],
'HICO-IOP' : [409, 415, 421, 426, 432, 438, 444, 449, 455, 461, 467, 472, 478, 484, 490, 495, 501, 507,
512, 518, 524, 530, 535, 541, 547, 553, 558, 564, 570, 575, 581, 587, 593, 598, 604, 610,
616, 621, 627, 633, 638, 644, 650, 656, 661, 667, 673, 679, 684, 690], # absorption data becomes negative > 690nm
'HICO' : [409, 415, 421, 426, 432, 438, 444, 449, 455, 461, 467, 472, 478, 484, 490, 495, 501, 507,
512, 518, 524, 530, 535, 541, 547, 553, 558, 564, 570, 575, 581, 587, 593, 598, 604, 610,
616, 621, 627, 633, 638, 644, 650, 656, 661, 667, 673, 679, 684, 690, 696, 701, 707, 713],
'HICO-aph' : [409, 415, 421, 426, 432, 438, 444, 449, 455, 461, 467, 472, 478, 484, 490, 495, 501, 507,
512, 518, 524, 530, 535, 541, 547, 553, 558, 564, 570, 575, 581, 587, 593, 598, 604, 610,
616, 621, 627, 633, 638, 644, 650, 656, 661, 667, 673, 679, 684, 690],
'PRISMA' : [411, 419, 427, 434, 441, 449, 456, 464, 471, 478, 485, 493, 500, 507, 515, 523, 530,
538, 546, 554, 563, 571, 579, 588, 596, 605, 614, 623, 632, 641, 651, 660, 670, 679, 689,
699, 709, 719,],
'PRISMA-aph' : [411, 419, 427, 434, 441, 449, 456, 464, 471, 478, 485, 493, 500, 507, 515, 523, 530,
538, 546, 554, 563, 571, 579, 588, 596, 605, 614, 623, 632, 641, 651, 660, 670, 679, 689,],
'PRISMA-adag': [412, 440, 488, 532, 560, 630, 650, 676, ],
'HICO-adag' : [412, 440, 488, 532, 560, 630, 650, 676,],
'HYPER' : list(range(400, 799)),
'HYPER-nan' : list(range(400, 801)),
}
duplicates = {
'MOD' : ['MODA', 'MODT'],
'OLCI' : ['S3A', 'S3B'],
'MSI' : ['S2A', 'S2B'],
}
# Add duplicate sensors
for sensor in list(SENSOR_BANDS.keys()):
for sensor2, dups in duplicates.items():
if sensor2 in sensor:
for dup in dups:
SENSOR_BANDS[sensor.replace(sensor2, dup)] = SENSOR_BANDS[sensor]
def get_sensor_bands(sensor, args=None):
assert(sensor in SENSOR_BANDS), f'Unknown sensor: {sensor}'
bands = set()
if args is not None:
# Specific bands can be passed via args in order to override those used
if hasattr(args, 'bands'):
return np.array(args.bands.split(',') if isinstance(bands, str) else args.bands)
# The provided bands can change if satellite bands with certain products are requested
elif args.sat_bands:
product_keys = {
'chl' : ['chl'],
'IOP' : ['aph', 'a*ph', 'ag', 'ad'],
}
for key, products in product_keys.items():
for product in args.product.split(','):
if (f'{sensor}-{key}' in SENSOR_BANDS) and (product in products):
bands |= set(SENSOR_BANDS[f'{sensor}-{key}'])
if len(bands) == 0 and f'{sensor}-sat' in SENSOR_BANDS:
sensor = f'{sensor}-sat'
if len(bands) == 0:
bands = SENSOR_BANDS[sensor]
return np.sort(list(bands))
# --------------------------------------------------------------
# Ancillary parameters for certain models
ANCILLARY = [
'humidity', # Relative humidity (%)
'ice_frac', # Ice fraction (0=no ice, 1=all ice)
'no2_frac', # Fraction of tropospheric NO2 above 200m
'no2_strat', # Stratospheric NO2 (molecules/cm^2)
'no2_tropo', # Tropospheric NO2 (molecules/cm^2)
'ozone', # Ozone concentration (cm)
'pressure', # Surface pressure (millibars)
'mwind', # Meridional wind speed @ 10m (m/s)
'zwind', # Zonal wind speed @ 10m (m/s)
'windangle', # Wind direction @ 10m (degree)
'windspeed', # Wind speed @ 10m (m/s)
'scattang', # Scattering angle (degree)
'senz', # Sensor zenith angle (degree)
'sola', # Solar azimuth angle (degree)
'solz', # Solar zenith angle (degree)
'water_vapor', # Precipitable water vapor (g/cm^2)
'time_diff', # Difference between in situ measurement and satellite overpass (in situ prior to overpass = negative)
]
# Ancillary parameters which are periodic (e.g. 0 degrees == 360 degrees)
PERIODIC = [
'windangle',
]