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  • 标题:Remote Sensing, Geographic Information Systems and Shannon's Entropy: Measuring Urban Sprawl in a Mountainous Environment
  • 本地全文:下载
  • 作者:Loureal Camille O. Verzosa ; Rhodora M. Gonzalez
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII - Part 7A
  • 页码:269-274
  • 出版社:Copernicus Publications
  • 摘要:Urban sprawl, or the unplan ned and uncontrol led spreading out of built - up areas, causes problems in the allocation of basic needs and increases risk to life and property in the face of disasters. The integration of remote sensing and geographic information systems is used in adopting Shannon's entro py to measure urban sprawl . Shannon's entropy is an index used here in quantifying the degree of dispersion or concentration of built - up areas. This study in the mountainous city of Baguio in northern Philippines shows that together with remote sensing, ge ographic information systems and photogrammetric techniques, built - up concentration can be identified and quantified from time series of aerial photographs and satellite images; this facility can assist in monitoring the growth of built - up areas and in dra f ting measures and policies to address urban sprawl's imminent effects.
  • 关键词:Geographic Information Systems; Photogrammetry; Urban; Measurements;Image
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