Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/8894
Title: Assessment of a Semantic Statistical Approach to Detecting Land Cover Change Using Inconsistent Data Sets
Authors: Comber, Alexis J.
Fisher, Peter F.
Wadsworth, Richard A.
First Published: Aug-2004
Publisher: American Society for Photogrammetry and Remote Sensing
Citation: Photogrammetric Engineering and Remote Sensing, 2004, 70 (8), pp. 931-938.
Abstract: A semantic statistical approach to reconciling data with different ontologies is introduced. It was applied to UK land cover datasets from 1990 and 2000 in order to determine land cover change by combining an expression of expert opinion about how the semantics of the two datasets relate with meta-data about spectral homogeneity. A sample of the changes identified was assessed by field validation and change was identified reliably where both datasets are accurate. The results indicate the suitability of uncertainty formalisms to this approach. The inclusion of extensive object level meta-data by the data producers greatly facilitates practical solutions to problems of data interoperability.
ISSN: 0099-1112
Links: http://www.asprs.org/publications/pers/2004journal/august/
http://hdl.handle.net/2381/8894
Type: Article
Description: This paper was published as Photogrammetric Engineering and Remote Sensing, 2004, 70 (8), pp. 931-938. It is available from http://www.asprs.org/publications/pers/2004journal/august/.
Metadata only entry
Appears in Collections:Published Articles, Dept. of Geography

Files in This Item:
There are no files associated with this item.


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.