...
首页> 外文期刊>Moscow University Soil Science Bulletin >Digital large-scale soil parent material map of Chashnikovo Training and Experimental Soil Ecology Center, Moscow State University
【24h】

Digital large-scale soil parent material map of Chashnikovo Training and Experimental Soil Ecology Center, Moscow State University

机译:莫斯科州立大学Chashnikovo培训与实验土壤生态中心数字大型土母材图

获取原文
获取原文并翻译 | 示例

摘要

AbstractA large-scale digital map of the soil parent materials has been produced for the territory of the Chashnikovo Training and Experimental Soil Ecology Center (TESEC), which has an area of 338.9 ha. The digital processing methods for extensive field data (748 sampling points) included incorporation of the data into databases, automated algorithms for soil taxa identification, and various digital soil mapping techniques. The five methods used to produce the map give similar values within an overall accuracy range of 0.69–0.74. The objective sample color criteria in the CIE L*a*b* system were used to identify soil parent materials. Eleven main parent material types have been distinguished; the distinct pattern of their distribution over the terrain relief, which determines the soil diversity in the study area, has been identified.
机译:<标题>抽象 ara>土壤母材的大规模数字地图为Chashnikovo培训和实验土壤生态中心(TESEC)的领土生产,其中面积为338.9公顷。 广泛的现场数据(748采样点)的数字处理方法包括将数据纳入数据库,用于土壤征集识别的自动化算法,以及各种数字土壤映射技术。 用于产生地图的五种方法在0.69-0.74的整体精度范围内给出类似的值。 CIE L * A * B *系统的目标样本颜色标准用于识别土壤母材。 有一个重要的主要母体材料类型; 已经确定了在地形救济中分布的独特模式,这决定了研究区域的土壤多样性。

著录项

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