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Coefficients for the SMACPy atmospheric correction algorithm

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NIAID Data Ecosystem2026-03-13 收录
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https://zenodo.org/record/5784635
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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
创建时间:
2021-12-16
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