Coefficients for the SMACPy atmospheric correction algorithm
Description
This dataset stores coefficients used by the updated Simplified Method for Atmospheric Correction - Python (SMACPy). The coefficients are used, together with meteorological data, to remove the effects of atmospheric gases and aerosols from a satellite image.
Currently, this is a beta version and more updates to these coefficients may be expected in the future.
Coefficients exist for various aerosol types, all defined from the equivalent 6S (10.1109/36.581987) aerosol types:
BIOMA: Biomass burning plumes.
CONTI: Continental aerosol.
DESER: Desert dust aerosol.
MARIT: Maritime aerosol, primarily sea salt.
STRATO: Stratospheric aerosol.
URBAN: Urban pollution aerosol.
NOAER: A profile with no aerosol effects, just atmospheric gases and Rayleigh scattering.
In this version the following satellites / sensors are supported:
NASA Aqua / MODIS
NASA Terra / MODIS
Fengyun-4A / AGRI
GEO-KOMPSAT-2A / AMI
GOES-16 / ABI
GOES-17 / ABI
Himawari-8 / AHI
Landsat-8 / OLI
Meteosat-8 / SEVIRI (no HRV channel)
Meteosat-9 / SEVIRI (no HRV channel)
Meteosat-10 / SEVIRI (no HRV channel)
Meteosat-11 / SEVIRI (no HRV channel)
NOAA-20 / VIIRS (M and I bands)
Suomi-NPP / VIIRS (M and I bands)
Sentinel-2A / MSI
Sentinel-2B / MSI
Sentinel-3A / OLCI
Sentinel-3B / OLCI
Sentinel-3A / SLSTR
Sentinel-3B / SLSTR
Files
SMAC_COEFS.zip
Files
(4.7 MB)
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md5:93b10828e36c298e1f33e5ab9653aed8
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22.7 kB | Download |
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Additional details
Funding
- UK Research and Innovation
- NCEO LTS-S NE/R016518/1
- UK Research and Innovation
- SatCAT: Using satellite data to improve safety and routing efficiency in the aviation industry. NE/R013144/1