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A Detailed and High-Resolution Land Use and Land Cover Change Analysis over the Past 16 Years in the Horqin Sandy Land, Inner Mongolia

机译:过去16年内蒙古科尔沁沙地的详细高分辨率土地利用和土地覆被变化分析

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摘要

Land use and land cover (LULC) change plays a key role in the process of land degradation and desertification in the Horqin Sandy Land, Inner Mongolia. This research presents a detailed and high-resolution (30 m) LULC change analysis over the past 16 years in Ongniud Banner, western part of the Horqin Sandy Land. The LULC classification was performed by combining multiple features calculated from the Landsat Archive products using the Support Vector Machine (SVM) based supervised classification approach. LULC maps with 17 secondary classes were produced for the year of 2000, 2009, and 2015 in the study area. The results showed that the multifeatures combination approach is crucial for improving the accuracy of the secondary-level LULC classification. The LULC change analyses over three different periods, 2000-2009, 2009-2015, and 2000-2015, identified significant changes as well as different trends of the secondary-level LULC in study area. Over the past 16 years, irrigated farming lands and salinized areas were expanded, whereas the waterbodies and sandy lands decreased. This implies increasing demand of water and indicates that the conservation of water resources is crucial for protecting the sensitive ecological zones in the Horqin Sandy Land.
机译:内蒙古科尔沁沙地的土地利用和土地覆被变化在土地退化和荒漠化过程中起着关键作用。这项研究提供了过去16年中科尔沁沙地西部Ongniud Banner的详细且高分辨率(30 m)LULC变化分析。通过使用基于支持向量机(SVM)的监督分类方法,将从Landsat Archive产品计算出的多个特征进行组合,可以进行LULC分类。研究区域分别在2000年,2009年和2015年制作了17个中学课程的LULC地图。结果表明,多特征组合方法对于提高二级LULC分类的准确性至关重要。在2000-2009年,2009-2015年和2000-2015年这三个不同时期内,LULC的变化分析确定了研究领域二级LULC的显着变化以及不同趋势。在过去的16年中,灌溉耕地和盐渍化地区扩大了,水体和沙地减少了。这意味着对水的需求不断增加,并且表明水资源保护对于保护科尔沁沙地的敏感生态区至关重要。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|1316505.1-1316505.13|共13页
  • 作者单位

    Chiba Univ, Grad Sch Sci, Inage Ku, 1-33 Yayoi Cho, Chiba 2638522, Japan;

    Chiba Univ, Ctr Environm Remote Sensing CEReS, Inage Ku, 1-33 Yayoi Cho, Chiba 2638522, Japan|Tokyo Univ Informat Sci, Dept Informat, Wakaba Ku, 4-1 Onaridai, Chiba 2658501, Japan;

    Chiba Univ, Ctr Environm Remote Sensing CEReS, Inage Ku, 1-33 Yayoi Cho, Chiba 2638522, Japan;

    Chiba Univ, Ctr Environm Remote Sensing CEReS, Inage Ku, 1-33 Yayoi Cho, Chiba 2638522, Japan;

    Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China;

    Chiba Univ, Ctr Environm Remote Sensing CEReS, Inage Ku, 1-33 Yayoi Cho, Chiba 2638522, Japan;

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