DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Optimizing ExoMars Rover Remote Sensing Multispectral Science: Cross-Rover Comparison Using Laboratory and Orbital Data

Grindrod, P.M. and Stabbins, R. and Motaghian, S. and Allender, E.J. and Cousins, C.R. and Rice, M S and Stephan, Katrin (2022) Optimizing ExoMars Rover Remote Sensing Multispectral Science: Cross-Rover Comparison Using Laboratory and Orbital Data. Earth and Space Science, 9 (6), e02243. American Geophysical Union (AGU). doi: 10.1029/2022EA002243. ISSN 2333-5084.

[img] PDF - Published version

Official URL: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2022EA002243


Multispectral imaging instruments have been core payload components of Mars lander and rover missions for several decades. In order to place into context the future performance of the ExoMars Rosalind Franklin rover, we have carried out a detailed analysis of the spectral performance of three visible and near-infrared (VNIR) multispectral instruments. We have determined the root mean square error (RMSE) between the expected multispectral sampling of the instruments and high-resolution spectral reflectance data, using both laboratory spectral libraries and Mars orbital hyperspectral data. ExoMars Panoramic Camera (PanCam) and Mars2020 Perseverance Mastcam-Z instruments have similar values of RMSE, and are consistently lower than for Mars Science Laboratory Mastcam, across both laboratory and orbital remote sensing data sets. The performance across mineral groups is similar across all instruments, with the lowest RMSE values for hematite, basalt, and basaltic soil. Minerals with broader, or absent, absorption features in these visible wavelengths, such as olivine, saponite, and vermiculite have overall larger RMSE values. Instrument RMSE as a function of filter wavelength and bandwidth suggests that spectral parameters that use shorter wavelengths are likely to perform better. Our simulations of the spectral performance of the PanCam instrument will allow the future use of targeted filter selection during ExoMars 2022 Rosalind Franklin operations on Mars.

Item URL in elib:https://elib.dlr.de/191202/
Document Type:Article
Title:Optimizing ExoMars Rover Remote Sensing Multispectral Science: Cross-Rover Comparison Using Laboratory and Orbital Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Grindrod, P.M.Department of Earth Sciences, University College London, Gower Street, London WC1E 6BT, UKUNSPECIFIEDUNSPECIFIED
Stabbins, R.Mullard Space Science Laboratory, University College London, Dorking, UKUNSPECIFIEDUNSPECIFIED
Motaghian, S.Department of Earth Sciences, Natural History Museum, London, UKUNSPECIFIEDUNSPECIFIED
Allender, E.J.School of Earth & Environmental Sciences, University of St Andrews, St Andrews, UKUNSPECIFIEDUNSPECIFIED
Cousins, C.R.School of Physi cs and Astronomy , University of Edinburgh , UKUNSPECIFIEDUNSPECIFIED
Rice, M SDepartment of Geology, Western Washington University, Bellingham, WA USAUNSPECIFIEDUNSPECIFIED
Journal or Publication Title:Earth and Space Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:e02243
Publisher:American Geophysical Union (AGU)
Keywords:Mars; multispectral; ExoMars; spectroscopy; mineral
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Exploration
DLR - Research area:Raumfahrt
DLR - Program:R EW - Space Exploration
DLR - Research theme (Project):R - ExoMars PanCam / MARS2020
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Planetary Geology
Deposited By: Stephan, Dr.rer.nat. Katrin
Deposited On:01 Dec 2022 13:26
Last Modified:01 Dec 2022 13:26

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.