Articles | Volume 15, issue 21
Geosci. Model Dev., 15, 7933–7976, 2022
https://doi.org/10.5194/gmd-15-7933-2022
Geosci. Model Dev., 15, 7933–7976, 2022
https://doi.org/10.5194/gmd-15-7933-2022
Development and technical paper
07 Nov 2022
Development and technical paper | 07 Nov 2022

Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI

Feng Yin et al.

Data sets

SIAC validation data Feng Yin https://doi.org/10.5281/zenodo.6652892

Model code and software

SIAC-v2.3.5 (v2.3.5) Feng Yin https://doi.org/10.5281/zenodo.6651964

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Short summary
The proposed SIAC atmospheric correction method provides consistent surface reflectance estimations from medium spatial-resolution satellites (Sentinel 2 and Landsat 8) with per-pixel uncertainty information. The outputs from SIAC have been validated against a wide range of ground measurements, and it shows that SIAC can provide accurate estimations of both surface reflectance and atmospheric parameters, with meaningful uncertainty information.