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Exploring CaSSIS with Machine Learning - The Search for Dust Devils on Mars

Bickel, Valentin and Conway, S. and Thomas, N. and Read, M.R. and Valantinas, A. and Hauber, Ernst and Grindrod, P.M. and Wray, J.J. and Rangarajan, V.G. and CaSSIS, Science Team (2023) Exploring CaSSIS with Machine Learning - The Search for Dust Devils on Mars. 54th Lunar and Planetary Science Conference, 2023-03-13 - 2023-03-17, The Woodlands, TX (USA).

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Official URL: https://www.hou.usra.edu/meetings/lpsc2023/pdf/1479.pdf


Dust devils are atmospheric vortices made visible by dust entrained from the martian surface [1]. Their spatial and temporal distribution, shape, and velocity provide insights into Mars’ atmospheric dynamics, useful for, e.g., dust, weather and climate modelling [1,2]. Yet, most of the available orbital image datasets have not been thoroughly scanned for dust devils and/or are limited to images acquired at a fixed local time (sun-synchronous orbits), limiting the representativeness of current analyses. Here, we use machine learning to systematically map dust devils in the CaSSIS (Colour and Stereo Surface Imaging System) image dataset. CaSSIS is a color and stereo imaging system onboard ESA’s Trace Gas Orbiter [3] (on a non-sun-synchronous orbit) with a nominal spatial resolution of 4.6 m, covering ~6 % of Mars’ surface as of November 2022 (33,130 images).

Item URL in elib:https://elib.dlr.de/201977/
Document Type:Conference or Workshop Item (Poster)
Title:Exploring CaSSIS with Machine Learning - The Search for Dust Devils on Mars
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bickel, ValentinCenter for Space and Habitability, University of BernUNSPECIFIEDUNSPECIFIED
Conway, S.Laboratoire de Planétologie et Géodynamique–UMR CNRS 6112, Nantes, FranceUNSPECIFIEDUNSPECIFIED
Thomas, N.Physikalisches Institut, Universität Bern, SwitzerlandUNSPECIFIEDUNSPECIFIED
Read, M.R.Physikalisches Institut, Sidlerstrasse 5, University of Bern, CH-3012 Bern, SwitzerlandUNSPECIFIEDUNSPECIFIED
Valantinas, A.Physikalisches Institut, University of Bern, Sidlerstr. 5, CH-3012 Bern, SwitzerlandUNSPECIFIEDUNSPECIFIED
Hauber, ErnstUNSPECIFIEDhttps://orcid.org/0000-0002-1375-304XUNSPECIFIED
Grindrod, P.M.Natural History Museum, London, UKUNSPECIFIEDUNSPECIFIED
Wray, J.J.School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USAUNSPECIFIEDUNSPECIFIED
Rangarajan, V.G.University of Western Ontario, London, ON, CanadaUNSPECIFIEDUNSPECIFIED
CaSSIS, Science TeamPhysikalisches Institut, Sidlerstrasse 5, University of Bern, CH-3012 Bern, SwitzerlandUNSPECIFIEDUNSPECIFIED
Date:March 2023
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:p. 1479
Series Name:LPI Contribution
Keywords:Mars, atmosphere, HRSC, dust devils, CaSSIS
Event Title:54th Lunar and Planetary Science Conference
Event Location:The Woodlands, TX (USA)
Event Type:international Conference
Event Start Date:13 March 2023
Event End Date:17 March 2023
Organizer:Lunar and Planetary Institute
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Planetary Exploration, R - Planetary Evolution and Life
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Planetary Research > Planetary Geology
Deposited By: Hauber, Ernst
Deposited On:12 Jan 2024 07:39
Last Modified:24 Apr 2024 21:02

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