Attribute uncertainty modelling in lunar spatial data

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

A novel methodology to evaluate uncertainties in lunar elemental abundances is presented. Contrary to most terrestrial applications, lunar geographic information system (GIS) data cannot be verified by in situ measurements because of the limited number of ground control points and their reduced spatial extent. This work reports on investigations to evaluate the uncertainty in lunar abundance measurements without the use of ground checks but by statistical evaluation and comparison of datasets. We find that by using correlations between the major elements, charts of estimated oxygen abundances can be derived that can then be used to evaluate uncertainties in the soil composition. Our results show that the majority of the derived values for oxygen fit well to the measured ones. We also found that the patterns of cells derived from our model and the orbital measurements are concentrated mainly at locations in the near-side mare.
Original languageEnglish
Pages (from-to)197-211
Number of pages15
JournalInternational Journal of Remote Sensing
Volume31
Issue number1
DOIs
Publication statusPublished - 1 Jan 2010

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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