• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Cartographie de la degradation des sols par une approche geomatique dans la region d'Azilal, Haut Atlas marocain (French text).
【24h】

Cartographie de la degradation des sols par une approche geomatique dans la region d'Azilal, Haut Atlas marocain (French text).

机译：在摩洛哥阿特拉斯山脉阿兹拉勒地区，采用地理学方法对土壤退化进行测绘（法文）。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Changes in land cover at a regional scale and the assessment of the risk of soil degradation at the scale of the basin require not only information on the physical structure of soil but also appropriate tools to evaluate these changes.; In order to identify the areas subject to a high risk of degradation in a region of Northern Africa, a geomatics approach integrating the following variables was considered: state of soil degradation, slope length, aspect, presence of vegetation and the erosive potential of overland flow. In order to map the state of soil degradation, the Hue and the Coloration indices were calculated from remotely sensed imagery. The complimentary nature of these two spectral indices allows the identification of the different levels of soil degradation. A vegetation index, MSAVI(2), was used to obtain a map of vegetation. Geomorphometric data (aspect, slope length, stream power index), were derived from a DEM generated in a GIS from a topographic map at a 1:50 000 scale. These data were integrated in a GIS by means of a multicriterion model. Multicriterion evaluations were then performed to identify and map areas of potential degradation. Model results were then compared with a cartographic document (reference map) using the Kappa coefficient. Comparisons between modeled potential degradation and the reference map showed overall low levels of agreement. Subsequently, a visual comparison using photographs of the study area was also performed as a way to further evaluate the results of the proposed method. (Abstract shortened by UMI.)
机译：区域规模的土地覆盖变化和流域规模的土壤退化风险评估不仅需要有关土壤物理结构的信息，还需要评估这些变化的适当工具。为了确定北部非洲地区退化的高风险地区，考虑了结合以下变量的地理学方法：土壤退化状态，坡度，坡向，植被存在和陆流侵蚀潜力。为了绘制土壤退化的状态图，从遥感影像中计算了色相和色度指数。这两个光谱指数的互补性质使人们能够识别出不同程度的土壤退化。植被指数MSAVI（2）用于获取植被图。地貌数据（长宽比，坡度，水流功率指数）是从GIS中以1:50 000比例尺的地形图生成的DEM中得出的。这些数据通过多标准模型集成到GIS中。然后进行多标准评估，以识别和绘制潜在退化区域。然后使用卡伯系数将模型结果与制图文件（参考图）进行比较。建模的潜在退化与参考图之间的比较显示总体一致性较低。随后，还使用研究区域的照片进行了视觉比较，以进一步评估所提出方法的结果。 （摘要由UMI缩短。）

著录项

  • 作者

    Parenteau, Marie-Pierre.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Physical Geography.
  • 学位 M.A.
  • 年度 2004
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号