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Identification of lineaments using Google tools

机译:使用Google Tools识别线程

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Recent advances in data acquisition technologies, have led to a growing interest in capturing high resolution rock surface images, Digital geologic maps that use a virtual globe interface, like google earth are a relatively new medium for presenting geologic data and interpretations. Models viewed in google earth are more intuitive for visualizing 3-D geological structures than traditional paper maps. Google earth displays satellite images of varying resolution of the earth's surface, allowing us to see things looking perpendicularly down or at an oblique angle, with perspective. Geological lineaments represent the intersection between discontinuity planes and an observation surface. Lineament identification plays key role in an underground project in all phases of the investigations and construction stages. Lineaments perceived in google earth images are reliable indicators of geologic structure. For identification of lineaments, google earth images technique is the most effective tool in conjunction with ground truth and top sheet for collection of spatial information and very useful in identification and mapping of the lineaments of an area. Structural geology studies, geologic lineaments and their pattern information are essential for better planning and timely execution of projects to avoid any hazards, google earth images provide lineament information. The present work deals with the integration of satellite imagery and surface geological data to improve the structural knowledge of any project. In this paper outline a methodology that allows efficient mapping for identification of geologic features and lineaments using google earth image of the rock surface in various phases of a project. In this paper also provides techniques to generate and display 2D and 3D geological data in google earth, oriented 2D and 3D geological symbols based on outcrop data and contour creation are covered. CAD Software such as SketchUp is used to generate the structural symbols for mapping ground based structures in google earth and to convert graphic images files of 2D into 3D Collada object models that are capable of being stretched, oriented and rotated in google earth for display in profile view. Excel worksheets are used to generate KML scripts for the structural symbology and well field visualization. A interactive google earth geologic map was built in various stages of an underground project, this technique described with a case study, this covers the use of google earth tools in different stages of a project, in pre-investigation/desk study stage identify the lineaments using google earth and find out the outcrop & co- ordinates for surface mapping and generate contour map using SketchUp. During detail investigation stage, assign joint orientation in google earth and developed a predictive lineament trend map to better interpretation of the geologic features for construction. During construction stage, back analysis this predictive lineament trend map with actual structural geological map of the project then predicted lineament trend map (generated using google earth tools) are compared against actual structural geological map & structural map can be optimised for further excavation. This map was produced in very short time, this shows the potential of using this method for predicted and efficient mapping of geological structures, particularly from remote, inaccessible or hazardous sites. Further an attempt has been made for mapping of lineaments and knowledge base preparation using google earth techniques for part of the proposed project site. Categorized the identified lineaments and geologic structures as per their features and projected these features for future projection nearby. This methodology might potentially be adopted for the identification of several features of geological origin. Applications such as identifying suitable site for dams, reservoirs and underground structure facility, and finding potential risks associated
机译:数据采集​​技术的最新进展导致捕获高分辨率岩石表面图像的兴趣,使用虚拟地球接口的数字地质地图,如Google地球是呈现地质数据和解释的相对较新的媒体。在Google地球中观看的模型比传统纸质地图可视化3D地质结构更直观。谷歌地球显示了地球表面不同分辨率的卫星图像,允许我们看到垂直或以倾斜角度看的东西,具有透视图。地质谱系代表了不连续平面与观察面之间的交叉点。谱系识别在调查和施工阶段的所有阶段都在地下项目中发挥着关键作用。在Google地球图像中感知的矩阵是地质结构的可靠指标。为了识别线程,Google地球图像技术是最有效的工具,与地面真理和顶床一起集合,用于收集空间信息,在识别和绘图的区域的识别和映射中非常有用。结构地质研究,地质谱系及其模式信息对于更好的规划和及时执行项目来说是必不可少的,以避免任何危险,Google地球图像提供划分信息。目前的工作涉及卫星图像和表面地质数据的整合,提高任何项目的结构知识。在本文中,概述了一种方法,允许使用岩石表面的谷歌地球图像在项目的各个阶段来识别地质特征和谱系的识别。本文还提供了在谷歌地球中生成和显示2D和3D地质数据的技术,基于露出数据和轮廓创建的导向2D和3D地质符号。 Sketchup等CAD软件用于生成用于在Google地球中映射基于地面的结构的结构符号,并将2D的图形图像文件转换为能够在Google地球中延伸,定向和旋转的3D Collada对象模型以用于在配置文件中显示看法。 Excel工作表用于为结构符号系统和井字段可视化生成KML脚本。互动的Google地球地质地图是在地下项目的各个阶段建立的,这种技术描述了一个案例研究,这涵盖了在项目的不同阶段使用Google地球工具,在预调查/办公室研究阶段识别赛事使用Google地球并找出露头和协调表面映射,并使用SketchUp生成轮廓图。在详细的调查阶段,在谷歌地球中分配联合方向,并制定了一种预测的线身趋势图,以更好地解释建筑的地质特征。在施工阶段,回分析该预测线身趋势图具有项目的实际结构地质图,然后预测序列趋势图(使用谷歌地球工具产生)与实际结构地质图和结构地图进行比较,可以针对进一步的挖掘进行优化。这张地图是在很短的时间内生产的,这表明了使用这种方法来预测和有效地地质结构的映射,特别是来自遥控器,难以接近或危险地点。进一步尝试使用谷歌地球技术来绘制依据项目现场的一部分的谷歌地球技术。根据其特征归类所识别的依照赛管和地质结构,并为未来预测预测了这些功能。该方法可能是可能用于识别地质来源的若干特征。识别水坝,水库和地下结构设施的合适部位等应用,以及发现相关的潜在风险

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