Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorAllender, Elyse
dc.contributor.authorStabbins, Roger
dc.contributor.authorGunn, Matthew
dc.contributor.authorCousins, Claire R.
dc.contributor.authorCoates, Andrew
dc.contributor.editorBruzzone, Lorenzo
dc.contributor.editorBovolo, Francesca
dc.date.accessioned2019-01-31T09:30:05Z
dc.date.available2019-01-31T09:30:05Z
dc.date.issued2018-10-09
dc.identifier.citationAllender , E , Stabbins , R , Gunn , M , Cousins , C R & Coates , A 2018 , The ExoMars Spectral Tool (ExoSpec) : an image analysis tool for ExoMars 2020 PanCam imagery . in L Bruzzone & F Bovolo (eds) , Image and Signal Processing for Remote Sensing XXIV . , 107890I , Proceedings of SPIE , vol. 10789 , SPIE remote sensing , Berlin , Germany , 10/09/18 . https://doi.org/10.1117/12.2325659en
dc.identifier.citationconferenceen
dc.identifier.isbn9781510621619
dc.identifier.isbn9781510621626
dc.identifier.issn0277-786X
dc.identifier.otherPURE: 256486220
dc.identifier.otherPURE UUID: 4d374ef4-6070-4234-89ae-4cf6e3f125ad
dc.identifier.otherScopus: 85059004529
dc.identifier.otherORCID: /0000-0002-3954-8079/work/60196575
dc.identifier.otherWOS: 000455305000015
dc.identifier.otherORCID: /0000-0002-0052-7895/work/64698156
dc.identifier.urihttp://hdl.handle.net/10023/16973
dc.descriptionThis work was supported by the UK Space Agency (ST/P001297/1 and ST/P001394/1). Cousins also acknowledges the Royal Society of Edinburgh for funding.en
dc.description.abstractThe upcoming launch of the European Space Agency (ESA) ExoMars 2020 rover signals a need for an analysis tool to be created which can exploit the multi- and hyperspectral data that will be returned by its Panoramic Camera (PanCam), Infrared Spectrometer for Mars (ISEM), and Close-UP Imager (CLUPI) instruments. Data processed by this analysis tool will be invaluable in (i) characterising the geology local to the ExoMars rover, (ii) relating ground-based observations to orbital Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) data, (iii) detecting evidence of past habitability on Mars, and (iv) identifying drilling locations. PanCam, ISEM, and CLUPI offer spectral analysis capabilities in both spatial (140-1310 microns/pixel at 2 m working distance) and spectral (440-3300 nm) dimensions. We have developed the ExoMars Spectral Tool (ExoSpec) which functions as a GUI-based extension to ENVI + IDL and performs steps from image import and compilation into ENVI .dat format, flat-fielding, radiometric correction, radiance-toreflectance (R*) corrections using the in-scene Gretag MacBeth ColorCheckerTM, and calculation of spectral parameters. We demonstrate the functionality of ExoSpec at its current stage of development and illustrate its utility with results from field expeditions to Mars analogue terrains in: (i) geothermally altered basalts in N´amafjall, Iceland, and (ii) layered alluvial plains deposits in Hanksville, USA, using ExoMars PanCam, ISEM, and CLUPI emulator instruments.
dc.format.extent19
dc.language.isoeng
dc.relation.ispartofImage and Signal Processing for Remote Sensing XXIVen
dc.relation.ispartofseriesProceedings of SPIEen
dc.rights© 2018, SPIE. This work has been made available online in accordance with the publisher's policies. This is the final published version of the work, which was originally published at https://doi.org/10.1117/12.2325659en
dc.subjectEuropean Space Agencyen
dc.subjectESAen
dc.subjectExoMarsen
dc.subjectPanCamen
dc.subjectENVI IDLen
dc.subjectSpectralen
dc.subjectProcessingen
dc.subjectQA76 Computer softwareen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subjectT Technologyen
dc.subjectNDASen
dc.subject.lccQA76en
dc.subject.lccQBen
dc.subject.lccQCen
dc.subject.lccTen
dc.titleThe ExoMars Spectral Tool (ExoSpec) : an image analysis tool for ExoMars 2020 PanCam imageryen
dc.typeConference itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.St Andrews Centre for Exoplanet Scienceen
dc.contributor.institutionUniversity of St Andrews.School of Earth & Environmental Sciencesen
dc.identifier.doihttps://doi.org/10.1117/12.2325659


This item appears in the following Collection(s)

Show simple item record