...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Revista Brasileira de Ciência do Solo >Multiple Geotechnological Tools Applied to Digital Mapping of Tropical Soils
【24h】

Multiple Geotechnological Tools Applied to Digital Mapping of Tropical Soils

机译：多种地球技术工具应用于热带土壤的数字制图

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

ABSTRACT In recent years, geotechnologies as remote and proximal sensing and attributes derived from digital terrain elevation models indicated to be very useful for the description of soil variability. However, these information sources are rarely used together. Therefore, a methodology for assessing and specialize soil classes using the information obtained from remote/proximal sensing, GIS and technical knowledge has been applied and evaluated. Two areas of study, in the State of S?o Paulo, Brazil, totaling approximately 28.000 ha were used for this work. First, in an area (area 1), conventional pedological mapping was done and from the soil classes found patterns were obtained with the following information: a) spectral information (forms of features and absorption intensity of spectral curves with 350 wavelengths -2,500 nm) of soil samples collected at specific points in the area (according to each soil type); b) obtaining equations for determining chemical and physical properties of the soil from the relationship between the results obtained in the laboratory by the conventional method, the levels of chemical and physical attributes with the spectral data; c) supervised classification of Landsat TM 5 images, in order to detect changes in the size of the soil particles (soil texture); d) relationship between classes relief soils and attributes. Subsequently, the obtained patterns were applied in area 2 obtain pedological classification of soils, but in GIS (ArcGIS). Finally, we developed a conventional pedological mapping in area 2 to which was compared with a digital map, ie the one obtained only with pre certain standards. The proposed methodology had a 79 % accuracy in the first categorical level of Soil Classification System, 60 % accuracy in the second category level and became less useful in the categorical level 3 (37 % accuracy).
机译：摘要近年来，从数字地形高程模型获得的地理和遥感技术和属性对描述土壤变异性非常有用。但是，这些信息源很少一起使用。因此，已经应用和评估了一种使用从遥感/近距离遥感，GIS和技术知识获得的信息来评估和分类土壤类别的方法。这项工作使用了巴西圣保罗州的两个研究领域，总计约28.000公顷。首先，在一个区域（区域1）中，进行了常规的土壤学制图，并从土壤类别中获得了具有以下信息的模式：a）光谱信息（350波长-2,500 nm光谱曲线的特征形式和吸收强度）在该地区特定地点（根据每种土壤类型）收集的土壤样品; b）根据常规方法在实验室中获得的结果与光谱数据的化学和物理属性水平之间的关系，得出确定土壤化学和物理性质的方程式; c）监督对Landsat TM 5图像的分类，以检测土壤颗粒大小的变化（土壤质地）; d）类之间的关系可以减轻土壤和属性之间的关系。随后，将获得的模式应用于区域2，获得土壤的土壤学分类，但应用于GIS（ArcGIS）。最终，我们在区域2中开发了一个常规的儿童学地图，并与数字地图进行了比较，即仅使用特定标准才能获得的地图。所提出的方法在土壤分类系统的第一个分类级别中的准确性为79％，在第二个分类级别中的准确性为60％，而在第3类分类中的使用率则下降了（37％准确性）。

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