Preprints
https://doi.org/10.5194/egusphere-2023-2489
https://doi.org/10.5194/egusphere-2023-2489
21 Nov 2023
 | 21 Nov 2023

A new tool for the estimation of Ground-Based InSAR acquisition characteristics before starting installation and monitoring survey

Charlotte Wolff, Marc-Henri Derron, Carlo Rivolta, and Michel Jaboyedoff

Abstract. Synthetic Aperture Radar (SAR) acquisition can be performed from satellites or from the ground by means of a so-called GB-InSAR (Ground-Based Interferometry SAR), but the signal emission and the output image geometry slightly differ between the two acquisition modes. Those differences are rarely mentioned in the literature. This paper proposes to compare satellite and GB-InSAR in terms of (1) acquisition characteristics and parameters to consider; (2) SAR image resolution; (3) geometric distortions that are foreshortening, layover and shadowing.

If in the case of satellites SAR, the range and azimuth resolutions are known and constant along the orbit path, in the case of GB-InSAR their values are terrain-dependent. It is worth estimating the results of a GB-InSAR acquisition one can expect in terms of range and azimuth resolution, Line of Sight (LoS) distance and geometric distortions to select the best installation location when several are possible. We developed a tool which estimates those parameters from a Digital Elevation Model (DEM), knowing the GB-InSAR and the Slope of Interest (SoI) coordinates. This tool, written in MATLAB, was tested on a simple synthetic point cloud representing a cliff with a progressive slope angle to highlight the influence of the SoI geometry on the acquisition characteristics and on two real cases; cliffs located in Switzerland, one in the Ticino canton and on in the Vaud canton.

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Journal article(s) based on this preprint

29 Jul 2024
A tool for estimating ground-based InSAR acquisition characteristics prior to monitoring installation and survey and its differences from satellite InSAR
Charlotte Wolff, Marc-Henri Derron, Carlo Rivolta, and Michel Jaboyedoff
Geosci. Instrum. Method. Data Syst., 13, 225–248, https://doi.org/10.5194/gi-13-225-2024,https://doi.org/10.5194/gi-13-225-2024, 2024
Short summary
Charlotte Wolff, Marc-Henri Derron, Carlo Rivolta, and Michel Jaboyedoff

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2489', Anonymous Referee #1, 30 Nov 2023
    • AC1: 'Reply on RC1', charlotte wolff, 08 Jan 2024
  • RC2: 'Comment on egusphere-2023-2489', Anonymous Referee #2, 29 Apr 2024
    • AC2: 'Reply on RC2', charlotte wolff, 01 May 2024

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2489', Anonymous Referee #1, 30 Nov 2023
    • AC1: 'Reply on RC1', charlotte wolff, 08 Jan 2024
  • RC2: 'Comment on egusphere-2023-2489', Anonymous Referee #2, 29 Apr 2024
    • AC2: 'Reply on RC2', charlotte wolff, 01 May 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by charlotte wolff on behalf of the Authors (02 May 2024)  Author's response 
EF by Polina Shvedko (03 May 2024)
EF by Polina Shvedko (06 May 2024)  Manuscript   Author's tracked changes 
ED: Referee Nomination & Report Request started (15 May 2024) by Anette Eltner
RR by Anonymous Reviewer #1 (05 Jun 2024)
ED: Publish subject to minor revisions (review by editor) (06 Jun 2024) by Anette Eltner
AR by charlotte wolff on behalf of the Authors (11 Jun 2024)  Author's response   Author's tracked changes 
EF by Lorena Grabowski (17 Jun 2024)  Manuscript 
ED: Publish as is (18 Jun 2024) by Anette Eltner
AR by charlotte wolff on behalf of the Authors (18 Jun 2024)  Author's response   Manuscript 

Journal article(s) based on this preprint

29 Jul 2024
A tool for estimating ground-based InSAR acquisition characteristics prior to monitoring installation and survey and its differences from satellite InSAR
Charlotte Wolff, Marc-Henri Derron, Carlo Rivolta, and Michel Jaboyedoff
Geosci. Instrum. Method. Data Syst., 13, 225–248, https://doi.org/10.5194/gi-13-225-2024,https://doi.org/10.5194/gi-13-225-2024, 2024
Short summary
Charlotte Wolff, Marc-Henri Derron, Carlo Rivolta, and Michel Jaboyedoff
Charlotte Wolff, Marc-Henri Derron, Carlo Rivolta, and Michel Jaboyedoff

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
InSAR is vital for monitoring slope instabilities but requires understanding. This paper delves into differences between satellite and GB-InSAR, addressing geometry and acquisition. It offers a user-friendly tool to determine the best GB-InSAR installation location, considering various technical, meteorological, and topographical factors, streamlining the campaign setup.