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.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-170', Anonymous Referee #1, 09 Jun 2022
    • AC2: 'Reply on RC1', Feng Yin, 05 Jul 2022
  • CEC1: 'Comment on egusphere-2022-170', Juan Antonio Añel, 15 Jun 2022
    • AC1: 'Reply on CEC1', Feng Yin, 16 Jun 2022
  • RC2: 'Comment on egusphere-2022-170', Hankui Zhang, 24 Jun 2022
    • AC3: 'Reply on RC2', Feng Yin, 05 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Feng Yin on behalf of the Authors (05 Jul 2022)  Author's response
ED: Referee Nomination & Report Request started (07 Jul 2022) by Le Yu
RR by Hankui Zhang (17 Jul 2022)
RR by Anonymous Referee #3 (19 Aug 2022)
ED: Reconsider after major revisions (19 Aug 2022) by Le Yu
AR by Feng Yin on behalf of the Authors (14 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (15 Sep 2022) by Le Yu
RR by Anonymous Referee #2 (03 Oct 2022)
ED: Publish subject to technical corrections (03 Oct 2022) by Le Yu
AR by Feng Yin on behalf of the Authors (10 Oct 2022)  Author's response    Manuscript
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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.