Monitoring and Predicting Urban Land Use Change: Applications of Multi-Resolution Multi-Temporal Satellite Data

Scott J. Goetz, A. J. Smith, C. Jantz, R. K. Wright, S. D. Prince, M. E. Mazzacato, B. Melchior

Research output: Contribution to conferencePaperpeer-review

9 Scopus citations

Abstract

The ability to map and monitor the spatial extent of the built environment, and associated temporal changes, has important societal and economic relevance. Multitemporal satellite data now provide the potential for mapping and monitoring urban land use change, but require the development of accurate and repeatable techniques that can be extended to a broad range of conditions and environments. We have developed an approach using Landsat imagery, trained with the high resolution data sets, that identifies impervious surface areas (buildings, roads, etc) at subpixel resolution. We report on application of the approach over a range of scales, from the local to the entire Chesapeake Bay Watershed (168,000 km2). We also developed maps of past changes in the built environment, used them to calibrate a spatial predictive model, and generated maps of expected future change under various policy scenarios out to year 2030. We believe these techniques have applicability to a wide range of applications.

Original languageEnglish (US)
Pages1567-1569
Number of pages3
StatePublished - 2003
Externally publishedYes
Event2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
Duration: Jul 21 2003Jul 25 2003

Conference

Conference2003 IGARSS: Learning From Earth's Shapes and Colours
Country/TerritoryFrance
CityToulouse
Period7/21/037/25/03

Keywords

  • Land use
  • Predictive modeling
  • Sprawl
  • Urbanization

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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