On the accuracy of landscape pattern analysis using remote sensing data

Guofan Shao, Jianguo Wu

Research output: Contribution to journalReview articlepeer-review

219 Scopus citations


Advances in remote sensing technologies have provided practical means for land use and land cover mapping which is critically important for landscape ecological studies. However, all classifications of remote sensing data are subject to different kinds of errors, and these errors can be carried over or propagated in subsequent landscape pattern analysis. When these uncertainties go unreported, as they do commonly in the literature, they become hidden errors. While this is apparently an important issue in the study of landscapes from either a biophysical or socioeconomic perspective, limited progress has been made in resolving this problem. Here we discuss how errors of mapped data can affect landscape metrics and possible strategies which can help improve the reliability of landscape pattern analysis.

Original languageEnglish (US)
Pages (from-to)505-511
Number of pages7
JournalLandscape Ecology
Issue number5
StatePublished - May 2008


  • Classification accuracy
  • Errors
  • Land use and land cover maps
  • Landscape metrics
  • Landscape pattern
  • Remote sensing

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Ecology
  • Nature and Landscape Conservation


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