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首页> 外文期刊>Journal of Applied Remote Sensing >Investigation and comparison of land-cover change patterns in Xuzhou city, China, and Dortmund city region, Germany, using multitemporal Landsat images
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Investigation and comparison of land-cover change patterns in Xuzhou city, China, and Dortmund city region, Germany, using multitemporal Landsat images

机译：利用多时相Landsat影像调查和比较中国徐州市和德国多特蒙德市地区的土地覆盖变化模式

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摘要

Analyzing spatiotemporal characteristics of land-cover (LC) change is important for assessing environmental consequences of urban growth and supporting land management and planning. Less attention, however, has been given to the comparison between land-cover change patterns in developing and developed countries. In this study, Xuzhou city and Dortmund city region were selected as study areas. Multitemporal Landsat images were classified by using the integration method of maximum likelihood classifier, subpixel classifier, and multiple normalized difference vegetation index values based on Vegetation-Impervious Surface-Soil model. Urban growth patterns and processes of the two study areas were investigated and compared through land-cover change detection, buffer analysis, and jaggedness degree. The results indicated that the urban area in Xuzhou city increased more than threefold dramatically from 128.5 to 418.3 km~2, and the increased sprawling development trend was observed during the study period, while Dortmund city region showed a slight increase from 498 to 715.5 km~2 in urban areas with an increasingly compact development trend. The results revealed a notable difference of spatiotemporal land-cover pattern dynamics between the two study areas as well as confirmed the effectiveness of the combined method of remote sensing and spatial analysis that can be used to support land management and policy decisions.
机译：分析土地覆被变化的时空特征对于评估城市增长对环境的影响以及支持土地管理和规划非常重要。但是，对发展中国家和发达国家土地覆盖变化模式之间比较的关注较少。在这项研究中，徐州市和多特蒙德市地区被选为研究区域。利用最大似然分类器，亚像素分类器和基于植被-不透水地表土壤模型的多个归一化差异植被指数值的积分方法对多时相Landsat图像进行分类。通过土地覆盖变化检测，缓冲分析和锯齿度对两个研究区的城市增长模式和过程进行了调查和比较。结果表明，徐州市市区面积从128.5 km〜2增长了三倍以上，达到418.3 km〜2，并且在研究期内呈现出增长的趋势，而多特蒙德市区的面积从498 km增长到715.5 km〜略有增加。 2在城市地区具有日益紧凑的发展趋势。结果揭示了两个研究区域之间时空覆盖格局动态的显着差异，并证实了遥感和空间分析相结合的方法可用于支持土地管理和政策决策的有效性。

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