Land use and land cover mapping from diverse data sources for an arid urban environments

Elizabeth Wentz, William L. Stefanov, Corinna Gries, Diane Hope

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Accurate and up-to-date data describing land use and land cover change support studies of urban growth such as quantifying the amount of rural to urban change and identifying change trajectories. This paper compares three methods for identifying urban land use/land cover, based on aerial photography, satellite imagery, and ground observations. While it might be natural to assume that classification based on ground observations would be the most accurate, this may not always be the case. Here we aim to quantify to what degree these three different classification approaches agree or contradict each other and to understand why. Land use/land cover data derived from these three sources were compared for the Phoenix metropolitan area, an arid urban region undergoing rapid urbanization. Our results show that satellite data are well suited to classify land use/land cover where land use categories are associated with homogeneous land cover at the subpixel level, but that for land use categories with subpixel land cover complexity, aerial photographs or ground observations are needed to aid in the classification.

Original languageEnglish (US)
Pages (from-to)320-346
Number of pages27
JournalComputers, Environment and Urban Systems
Volume30
Issue number3
DOIs
StatePublished - May 2006

Keywords

  • Aerial photography
  • Ground observations
  • Landsat thematic mapper
  • Phoenix AZ
  • Urban land cover
  • Urban land use

ASJC Scopus subject areas

  • Ecological Modeling
  • Environmental Science(all)
  • Geography, Planning and Development

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