Initial results from a GIS-based unsupervised classification study of the Martian surface
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Jones, Eriita; Mills, Franklin; Doran, Bruce; Caprarelli, Graziella; Clarke, Jonathan
Description
Maps of thermal inertia-albedo units and thermal inertia-elevation units on Mars’ surface have been generated by choosing thresholds that fit the strongest peaks in the histograms of these datasets. The units thus defined were then interpreted as distinct mixtures of materials on the surface, such as: bright fines, rock + bedrock and ice. We have conducted an initial classification of Thermal Emission Spectrometer (TES) night-time thermal inertia and TES albedo using a hard classifier. The...[Show more]
dc.contributor.author | Jones, Eriita | |
---|---|---|
dc.contributor.author | Mills, Franklin | |
dc.contributor.author | Doran, Bruce | |
dc.contributor.author | Caprarelli, Graziella | |
dc.contributor.author | Clarke, Jonathan | |
dc.coverage.spatial | Brisbane Australia | |
dc.date.accessioned | 2011-11-01T23:31:50Z | |
dc.date.available | 2011-11-01T23:31:50Z | |
dc.date.created | September 27-30 2010 | |
dc.identifier.citation | Jones, E., Mills, F., Doran, B., Caprarelli, G. & Clarke, J. (2011). Initial results from a GIS-based unsupervised classification study of the Martian surface. In W. Short & I. Cairns (Eds), Proceedings of the 10th Australian Space Sciences Conference (pp.145-160). Sydney: National Space Society of Australia | |
dc.identifier.isbn | 13: 978-0-9775740-4-9 | |
dc.identifier.uri | http://hdl.handle.net/1885/8710 | |
dc.description.abstract | Maps of thermal inertia-albedo units and thermal inertia-elevation units on Mars’ surface have been generated by choosing thresholds that fit the strongest peaks in the histograms of these datasets. The units thus defined were then interpreted as distinct mixtures of materials on the surface, such as: bright fines, rock + bedrock and ice. We have conducted an initial classification of Thermal Emission Spectrometer (TES) night-time thermal inertia and TES albedo using a hard classifier. The methods used here are largely unsupervised and differ from those of previous studies. The aim of our study is to investigate what information can be obtained by utilising unsupervised classification algorithms to investigate the distribution of thermal materials on the surface of Mars. We find that unsupervised classification reveals additional structure in the clustering and spatial distribution of surface materials with moderate-low albedo and moderate-high thermal inertia. We highlight a number of regions such as Acidalia and Valles Marineris for future detailed studies of this type. | |
dc.description.sponsorship | National Committee for Space Science (NCSS), National Space Society of Australia (NSSA) | |
dc.format | 16 pages | |
dc.publisher | National Space Society of Australia | |
dc.relation.ispartofseries | Australian Space Science Conference 2010 | |
dc.rights | "All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior permission from the publisher." - from title page of Conference Proceedings. Author has given permission to archive the accepted version of this paper and make it publicly available (author's email dated 21/10/11) | |
dc.source | Proceedings of the 10th Australian Space Science Conference Brisbane 27-30 September 2010 | |
dc.source.uri | http://www.nssa.com.au/10assc/downloads/10ASSC-Proceedings.pdf | |
dc.subject | thermal inertia, albedo, TES, unsupervised algorithm, clusters, ISODATA, maximum likelihood | |
dc.title | Initial results from a GIS-based unsupervised classification study of the Martian surface | |
dc.type | Conference paper | |
local.description.notes | Conference held Sept 2010, University of Queensland, Brisbane. "… the fourth ASSC jointly sponsored and organised by the National Committee for Space Science (NCSS) and the National Space Society of Australia (NSSA)" - from Conference web site (as at 2/11/11) | |
local.description.refereed | Yes | |
dc.date.issued | 2011 | |
local.identifier.absfor | 090903 - Geospatial Information Systems | |
local.identifier.absfor | 020108 - Planetary Science (excl. Extraterrestrial Geology) | |
local.identifier.absfor | 040302 - Extraterrestrial Geology | |
local.identifier.ariespublication | u4860843xPUB47 | |
local.publisher.url | http://www.nssa.com.au/ | |
local.type.status | Accepted Version | |
local.contributor.affiliation | Jones, Eriita, ANU, Research School of Astronomy and Astrophysics, Planetary Sciences Institute | |
local.contributor.affiliation | Mills, Franklin, ANU, The Fenner School of Environment and Society | |
local.contributor.affiliation | Doran, Bruce, ANU, The Fenner School of Environment and Society | |
local.contributor.affiliation | Caprarelli, Graziella, University of Technology, Sydney, Department of Environmental Sciences | |
local.contributor.affiliation | Clarke, Jonathan, Mars Society Australia Inc | |
local.bibliographicCitation.startpage | 145 | |
local.bibliographicCitation.lastpage | 160 | |
local.identifier.absseo | 970104 - Expanding Knowledge in the Earth Sciences | |
local.identifier.absseo | 970102 - Expanding Knowledge in the Physical Sciences | |
dc.date.updated | 2015-12-08T03:39:03Z | |
Collections | ANU Research Publications |
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File | Description | Size | Format | Image |
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JonesEriita_InitialResultsGIS2011.pdf | 1.78 MB | Adobe PDF |
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