A Regional Planning Application of Satellite Image Processing in Pakistan

M. Arsalan, M. Mehdi, M. Hussain
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引用次数: 4

Abstract

For most of the city and regional planning applications, the traditional methods for the assessment of land cover/land use are labour-intensive, time consuming and expensive. Their credibility is often questionable especially in developing countries; (such as Pakistan), these data are quite insufficient and inconsistent. Nowadays in various parts of the world, satellite data have been successfully used for the appraisal and identification of different land use/land cover clusters. With the availability of first generation digital imageries like that of Landsat Thematic Mapper (TM) and SPOT XS and PAN, it is possible to delineate precisely the boundaries of various clusters of land-cover and to calculate the areas from these boundaries. Effective assessment methods have been developed which involves sophisticated digital routines as well as visual interpretation. These quantifications are of interest to planners, decision makers and researchers. In this study, the former administrative unit `Karachi Division' is examined for the appraisal of land cover classification through the application of satellite imageries. PCI Geomatica is employed for image processing operations. It is observed without any doubts that satellite imageries are useful complement to conventional methods in urban analysis and development.
卫星图像处理在巴基斯坦区域规划中的应用
在大多数城市和区域规划应用中,土地覆盖/土地利用评估的传统方法是劳力密集、耗时和昂贵的。它们的可信度经常受到质疑,尤其是在发展中国家;(如巴基斯坦),这些数据是相当不充分和不一致的。如今,在世界各地,卫星数据已成功地用于评估和确定不同的土地利用/土地覆盖集群。随着Landsat Thematic Mapper (TM)、SPOT XS和PAN等第一代数字图像的可用性,可以精确地划定各种土地覆盖集群的边界,并根据这些边界计算面积。有效的评估方法已经开发出来,包括复杂的数字程序和视觉解释。这些量化对规划者、决策者和研究人员都很有意义。本研究以前行政单位“卡拉奇区”为研究对象,透过卫星影像评估土地覆盖分类。PCI Geomatica用于图像处理操作。毫无疑问,卫星图像在城市分析和发展方面是对传统方法的有益补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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