Articles | Volume 15, issue 21
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, Philip E. Lewis, and Jose L. Gómez-Dans

Data sets

SIAC validation data Feng Yin

Model code and software

SIAC-v2.3.5 (v2.3.5) Feng Yin

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.