Published December 15, 2021 | Version 0.1
Dataset Open

Coefficients for the SMACPy atmospheric correction algorithm

Authors/Creators

  • 1. National Centre for Earth Observation

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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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