Expert system classification of urban land use/cover for Delhi, India

Elizabeth Wentz, David Nelson, Atiqur Rahman, William Stefanov, Shoursaseni Sen Roy

Research output: Contribution to journalArticlepeer-review

63 Scopus citations


This study presents the results of classifying land use/land cover for Delhi, India using an expert system approach. For this study Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data of 22 September 2003 were used. The research goals of this project are two-fold. In one respect, the research goal is to report on the extent covered by urbanization using the classified image. Thirteen different land-cover categories were identified with an 85.55% overall classification accuracy based on 256 random points for validation and 50 on the ground observations. Secondly, we report on our efforts to duplicate an expert system model previously developed for Phoenix Arizona as a generalized approach for urban land use classification. Results suggest that while some of the methodology could be duplicated, there are local factors (e.g. data availability and specific land features) that required the approach to be modified.

Original languageEnglish (US)
Pages (from-to)4405-4427
Number of pages23
JournalInternational Journal of Remote Sensing
Issue number15
StatePublished - Aug 10 2008

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)


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