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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >The Applicability of the Extended Markov Chain Model to the Land Use Dynamics in Lebanon
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The Applicability of the Extended Markov Chain Model to the Land Use Dynamics in Lebanon

机译：扩展马尔可夫链模型对黎巴嫩土地利用动态的适用性

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摘要

This study validates the applicability of the extended Markov chain modeling for predicting the dynamics of land use inLebanon by using (ⅰ) the current available population density maps, (ⅱ) Landsat satellite images, (ⅲ) ArcGIS software and(ⅳ) TerrSet software. An extended Markov chain model was developed to predict future land use dynamics by integratingthe built-up area into three categories as per the development density based on population density maps for years 2000, 2009and 2018. Land use classification maps were generated by integrating medium-resolution Landsat images of 30 meters intoArcGIS. The population density maps were combined with the classified land use maps in order to divide the built-up landuse areas into three categories: high-, medium- and low-density urban development. The observed transition matrices werecomputed using TerrSet software. A Markov chain projection of land use for year 2018 was generated based on the actualtransition matrix and compared to the observed land use. A Pearson’s chi-square test was conducted to validate the proposedmodel. Then, a projection of land use for 2036 was conducted based on the actual transition matrix between 2000 and 2018.Finally, insights and recommendations were proposed to address future Lebanese land use dynamics.
机译：本研究验证了扩展马尔可夫链模型的适用性来预测土地使用的动态黎巴嫩通过使用（Ⅰ）目前可用的人口密度图，（Ⅱ）Landsat卫星图像，（Ⅲ）ArcGIS软件和（ⅳ）机器软件。开发了一个扩展的马尔可夫链模型，以通过整合来预测未来的土地利用动态基于人口密度图的开发密度，建筑区域分为三类，基于人口密度图2000年，2009年和2018.通过将30米的中分辨率的Landsat图像集成到其中的中介分辨率的Landsat图像来产生土地利用分类地图ArcGIS。人口密度图与分类的土地使用地图相结合，以便划分建筑陆地使用区域分为三类：高，中低城市发展。观察到的过渡矩阵是使用Terset软件计算。根据实际生成2018年土地使用的马尔可夫链投影过渡矩阵并与观察到的土地使用相比。进行了Pearson的Chi-Square测试以验证提议模型。然后，基于2000和2018之间的实际转换矩阵进行了2036的土地使用的投影。最后，提出了解洞察和建议，以解决未来黎巴嫩土地利用动态。

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  • 作者

    Walid Al-Shaar; Nabil Nehme; Jocelyne Adjizian Gerard;

  • 作者单位

    Doctoral School of Human and Society Sciences GeographyDepartment CREEMO (Centre de Recherche enEnvironnement-Espace Mediterranee Orientale) Saint JosephUniversity Beirut Lebanon Doctoral School of Science and Technology (CivilEngineering) Lebanese University Beirut Lebanon;

    School of Engineering Lebanese American University Beirut Lebanon;

    Doctoral School of Human and Society Sciences GeographyDepartment CREEMO (Centre de Recherche enEnvironnement-Espace Mediterranee Orientale) Saint JosephUniversity Beirut Lebanon;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Land use; Markov chain; ArcGIS; Remote sensing; Lebanon;

    机译：土地使用;马尔可夫链;ArcGIS;遥感;黎巴嫩;

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