Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6283-2021
https://doi.org/10.5194/hess-25-6283-2021
Research article
 | 
13 Dec 2021
Research article |  | 13 Dec 2021

Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land

Sara Modanesi, Christian Massari, Alexander Gruber, Hans Lievens, Angelica Tarpanelli, Renato Morbidelli, and Gabrielle J. M. De Lannoy

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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 hess-2021-273', Anonymous Referee #1, 21 Jul 2021
    • AC1: 'Reply on RC1', Sara Modanesi, 23 Aug 2021
  • RC2: 'Comment on hess-2021-273', Anonymous Referee #2, 09 Aug 2021
    • AC2: 'Reply on RC2', Sara Modanesi, 23 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (24 Aug 2021) by Louise Slater
AR by Sara Modanesi on behalf of the Authors (18 Sep 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (21 Sep 2021) by Louise Slater
RR by Anonymous Referee #1 (21 Oct 2021)
RR by Anonymous Referee #2 (25 Oct 2021)
ED: Publish as is (26 Oct 2021) by Louise Slater
AR by Sara Modanesi on behalf of the Authors (04 Nov 2021)  Manuscript 
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Short summary
Worldwide, the amount of water used for agricultural purposes is rising and the quantification of irrigation is becoming a crucial topic. Land surface models are not able to correctly simulate irrigation. Remote sensing observations offer an opportunity to fill this gap as they are directly affected by irrigation. We equipped a land surface model with an observation operator able to transform Sentinel-1 backscatter observations into realistic vegetation and soil states via data assimilation.