Attribute uncertainty modelling in lunar spatial data
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.
Document Type: Research Article
Affiliations: 1: Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, People's Republic of China 2: Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, People's Republic of China
Publication date: March 1, 2010