Articles | Volume 18, issue 6
https://doi.org/10.5194/essd-18-4047-2026
https://doi.org/10.5194/essd-18-4047-2026
Data description article
 | 
15 Jun 2026
Data description article |  | 15 Jun 2026

An operational global L-band soil moisture and vegetation optical depth dataset from optimized 40° SMOS brightness temperatures for 2010–2024

Zanpin Xing, Xiaojun Li, Frédéric Frappart, Gabrielle De Lannoy, Thomas Jagdhuber, Jian Peng, Lei Fan, Hongliang Ma, Lanka Karthikeyan, Xiangzhuo Liu, Mengjia Wang, Lin Zhao, Yongqin Liu, and Jean-Pierre Wigneron

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2025-728', Anonymous Referee #1, 12 Feb 2026
    • AC1: 'Reply on RC1', Xiaojun Li, 29 Mar 2026
  • RC2: 'Comment on essd-2025-728', Anonymous Referee #2, 26 Feb 2026
    • AC2: 'Reply on RC2', Xiaojun Li, 29 Mar 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Xiaojun Li on behalf of the Authors (29 Mar 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (18 Apr 2026) by Birgit Heim
AR by Xiaojun Li on behalf of the Authors (21 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 May 2026) by Birgit Heim
AR by Xiaojun Li on behalf of the Authors (27 May 2026)  Manuscript 
Download
Short summary
Microwave satellite observations of Earth’s land surface are important for tracking global soil moisture and vegetation water content. We use data from the Soil Moisture and Ocean Salinity satellite to first reduce noise and contamination in microwave signals, then produce more reliable long-term records of these variables. Tests against ground stations and other satellites show that the new record performs better than existing products and supports drought, freeze-thaw, and carbon monitoring.
Share
Altmetrics
Final-revised paper
Preprint