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首页> 外文学位 >REMOTE SENSING FOR LANDFORMS AND SOILS IN THE ARID SOUTHWEST UNITED STATES (NEW MEXICO, ARIZONA, CALIFORNIA).
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REMOTE SENSING FOR LANDFORMS AND SOILS IN THE ARID SOUTHWEST UNITED STATES (NEW MEXICO, ARIZONA, CALIFORNIA).

机译：西南干旱地区（新墨西哥州，亚利桑那州，加利福尼亚州）的地形和土壤遥感。

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摘要

This study was conducted to refine the genetic or landform approach to terrain analysis for soils investigations in the Las Cruces area of New Mexico, by characterizing in a more detailed and explicit manner the image interpretation elements for landform analysis (i.e., boundary, topography, drainage, erosion, tone, and vegetation/land use). Landform units were visually interpreted from 1:40,000 scale panchromatic and 1:112,000 scale color airphotos with stereoscopes, and from Landsat multispectral scanner (MSS) images through color aditive viewing. The delineated units were compared with each other and with published soil survey mapping units, using a geographic information system (Map Analysis Package). Based on the comparison results and field data, the generally accepted landform units in arid regions (i.e., alluvial fan, filled valley, playa, and sand dune) were subdivided into 23 refined units. Each unit had generally consistent grain size distributions, reflecting its ultimate source material. Delineations from both scales of airphotos generally agreed well with each other, and both generally agreed with delineations from soil survey maps. These results supported a greater use of remote sensing for soil surveys of arid regions, and of small scale aerial (and possibly space) photography for terrain analysis. Although less useful for delineating landform units, Landsat MSS images provided fairly accurate information for some soil mapping units. Topography was the dominant interpretation element for characterizing the landform units' image patterns, for delineating the units' boundaries, and for determining the degree of agreement among the different data types. This topographic dominance resulted in an overall redundancy of the interpretation elements, suggesting that some elements could probably be combined or eliminated without much loss of information. It follows that stereoscopic coverage is crucial (whereas, although color information is desirable, it is not crucial) and that the incorporation of digital terrain data should improve the results from Landsat analysis. Several potential remote sensing indicators of caliche and of relative age of landform units were identified. The results of this study were generally applicable to two other study areas, near Yuma, Arizona and Nipton, California; and should be applicable to other arid regions of the world, where adjacent to bedrock mountains.
机译：进行这项研究的目的是通过更详细和明确的方式表征地形分析的图像解释元素（即边界，地形，排水等），以完善用于新墨西哥州拉斯克鲁塞斯地区土壤调查的地形分析的遗传或地形方法。 ，侵蚀，色调和植被/土地利用）。使用立体镜从1：40,000比例的全色和1：112,000比例的彩色航空照片以及Landsat多光谱扫描仪（MSS）图像通过彩色辅助观察对地形单位进行视觉解释。使用地理信息系统（“地图分析包”）将划定的单位相互比较，并与已发布的土壤调查制图单位进行比较。根据比较结果和现场数据，将干旱地区公认的地形单位（即冲积扇，填谷，滩涂和沙丘）细分为23个精炼单位。每个单元通常具有一致的晶粒尺寸分布，反映了其最终原料。两种航空摄影标尺的轮廓通常彼此一致，并且两者通常都与土壤调查图的轮廓一致。这些结果支持将遥感更多地用于干旱地区的土壤调查，并支持小规模的航空（可能是空间）摄影来进行地形分析。尽管Landsat MSS影像对于描绘地形单位不太有用，但它为某些土壤测绘单位提供了相当准确的信息。地形是主要的解释元素，用于描述地形单位的图像模式，描绘单位的边界以及确定不同数据类型之间的一致程度。这种地形上的优势导致解释要素的整体冗余，这表明某些要素可能可以组合或消除，而不会损失太多信息。随之而来的是立体覆盖是至关重要的（尽管，虽然需要颜色信息，但这不是至关重要的），并且数字地形数据的合并应该可以改善Landsat分析的结果。确定了几个潜在的遥感指标，包括地形和地形单位的相对年龄。这项研究的结果通常适用于亚利桑那州尤马附近和加利福尼亚尼普顿附近的其他两个研究区域。并应适用于世界上其他与基岩山相邻的干旱地区。

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  • 作者

    TENG, WILLIAM LING.;

  • 作者单位

    Cornell University.;

  • 授予单位 Cornell University.;
  • 学科 Engineering Civil.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 1984
  • 页码 404 p.
  • 总页数 404
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;遥感技术;
  • 关键词

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