Analytical modelling of positional and thematic uncertainties in the integration of remote sensing and geographical information systems

Wen Zhong Shi, M. Ehlers, K. Tempfli

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)

Abstract

This paper describes three aspects of uncertainty in geographical information systems (GIS) and remote sensing. First, the positional uncertainty of an area object in a GIS is discussed as a function of positional uncertainties of line segments and boundary line features. Second, the thematic uncertainty of a classified remote sensing image is described using the probability vectors from a maximum likelihood classification. Third, the 'S-band' model is used to quantify uncertainties after combining GIS and remote sensing data.
Original languageEnglish
Pages (from-to)119-136
Number of pages18
JournalTransactions in GIS
Volume3
Issue number2
DOIs
Publication statusPublished - 1 Jan 1999

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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