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首页> 外文期刊>GIScience & remote sensing >Identifying Trends In Land Use/land Cover Changes In The Context Of Post-socialist Transformation In Central Europe: A Case Study Of The Greater Olomouc Region, Czech Republic
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Identifying Trends In Land Use/land Cover Changes In The Context Of Post-socialist Transformation In Central Europe: A Case Study Of The Greater Olomouc Region, Czech Republic

机译:在中欧后社会主义转型的背景下确定土地利用/土地覆被变化趋势:以捷克共和国大奥洛穆克地区为例

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摘要

Many countries in Central and Eastern Europe have been undergoing marked economic changes following the collapse of the former "Eastern Bloc" and totalitarian regimes. In the Czech Republic, this transition has had a profound effect on land use management that subsequently results in widespread land cover changes. This study analyzes trends in land use/land cover changes (LULCC) in the context of political and economic transformation of the Czech Republic, using the greater Olomouc region in the period between 1991 and 2001 as a case study. Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) images from 1991 and 2001 were acquired and processed for maximum likelihood classification to produce land use/land cover maps for both times with overall map accuracies between 0.8 and 0.84. Major land changes were identified using post-classification comparison and trend surface analysis. Results showed significant marginalization of intensive agricultural activities (12%), a shift in forest composition from mixed to deciduous forest (6%), and an overall increase in residential development on arable land (3.5%). Our findings arc consistent with recent socioeconomic and political studies that describe post-socialist land change drivers in Central and Eastern Europe, such as decreased need for intensive agriculture, shift to ecological management of forested areas, or increasing suburbanization.
机译:在前“东欧集团”和极权主义政权崩溃之后,中欧和东欧的许多国家都在经历着显着的经济变化。在捷克共和国,这一转变对土地使用管理产生了深远影响,随后导致了广泛的土地覆盖变化。这项研究以1991年至2001年期间更大的奥洛穆克地区为案例,分析了捷克共和国政治和经济转型背景下的土地利用/土地覆被变化趋势(LULCC)。采集并处理了1991年和2001年的Landsat专题地图(TM)和增强型专题地图(ETM +)图像,并进行了最大似然分类,以生成两次土地使用/土地覆盖的地图,两次地图的总精度在0.8到0.84之间。使用分类后比较和趋势面分析来识别主要的土地变化。结果表明,集约化农业活动被严重边缘化(12%),森林组成从混合林转变为落叶林(6%),耕地上的住宅开发总体增加(3.5%)。我们的发现与最近的社会经济和政治研究一致,这些研究描述了中欧和东欧的后社会主义土地变化动因,例如对集约化农业的需求减少,对森林地区的生态管理的转移或郊区化的增加。

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  • 来源
    《GIScience & remote sensing》 |2009年第1期|p.54-76|共23页
  • 作者

    Tomas Vaclavik; John Rogan;

  • 作者单位

    Center for Applied Geographic Information Science (CAGIS), Department of Geography and Earth Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, North Carolina 28223;

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