Monitoring urban growth using remote sensing, GIS and spatial metrics

Pedro Cabral, Jean Paul Gilg, Marco Painho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


In this article, a combined application of a segmentation method with a texturing procedure is employed for delimitation of urban areas in a temporal series of Landsat satellite images over the Sintra-Cascais municipalities. The study area is particularly sensitive as it contains the Natural Park of Sintra-Cascais (PNSC) which is subject to intensive anthropogenic pressure. Selected spatial metrics are used for analysing the evolution of urban pattern for the whole study area and also inside and outside the PNSC. Results reveal that built areas have increased almost 30% and that the pattern of urban growth is being made differently inside and outside the natural park between years 1989 and 2001.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering 5884
Subtitle of host publicationRemote Sensing and Modeling of Ecosystems for Sustainability II
Number of pages9
Publication statusPublished - 2005


  • Geographical information systems
  • Remote sensing
  • Spatial metrics
  • Texture
  • Urban growth


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