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首页> 外文期刊>Canadian Journal of Remote Sensing >Application of data integration for deformation potential mapping using remotely acquired data sets within the Lynn Lake Greenstone Belt, northwestern Manitoba, Canada
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Application of data integration for deformation potential mapping using remotely acquired data sets within the Lynn Lake Greenstone Belt, northwestern Manitoba, Canada

机译：利用加拿大曼尼托巴省西北部Lynn Lake Greenstone带内的远程采集数据集，将数据集成应用于形变势测绘

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The purpose of this paper is to demonstrate the ability of combining remotely acquired data using data integration techniques to define lineament trends that may represent high-strain zones within the Lynn Lake Greenstone Belt. A knowledge-driven data integration approach has been adopted for this study that makes use of theoretical principles and good working knowledge of the regional geology to translate components of a shear-hosted gold conceptual model into a spatial model. Lineaments extracted from airborne vertical gradient magnetic data (VG), very low frequency electromagnetic data (VLF-EM), and RADARSAT synthetic aperture radar (SAR) data are used as evidence for the occurrence of shear zones. Proximity maps created from the extracted lineaments are weighted based on deformational characteristics of shear zones. Combination of these proximity maps, using fuzzy logic and Dempster-Shafer theory, produces a potential for deformation map. Field mapping was undertaken to verify the accuracy of the deformation potential maps generated. Detailed strike-perpendicular structural mapping in areas of above-average outcrop exposure identified a series of subparallel D_2 shear zones, which correlated with areas of high deformation potential. Other potential areas of high deformation were field checked and found to represent D_2 shear zones not identified during structural mapping. Deformation potential mapping proved invaluable in the interpretation of the western strike extension of the Johnson Shear Zone (JSZ) and demonstrates the broadening of the JSZ west of the Gemmel Lake area. The results from this paper have major implications for future gold exploration in the belt and have demonstrated that VG, VLF, and SAR data can be useful tools to assist in the delineation of major structural trends and high deformation zones within greenstone belts.
机译：本文的目的是演示使用数据集成技术组合远程采集的数据以定义可能代表Lynn Lake Greenstone带内高应变带的线性趋势的能力。这项研究采用了一种知识驱动的数据集成方法，该方法利用理论原理和区域地质的良好工作知识将剪切承载的金概念模型的组件转换为空间模型。从机载垂直梯度磁数据（VG），超低频电磁数据（VLF-EM）和RADARSAT合成孔径雷达（SAR）数据中提取的线性被用作剪切区发生的证据。根据剪切区域的变形特征，对从提取的线条中创建的邻近贴图进行加权。使用模糊逻辑和Dempster-Shafer理论将这些邻近贴图组合在一起，可以产生变形贴图。进行了现场制图，以验证所生成的变形势图的准确性。在高于平均水平的露头暴露区域，详细的走向垂直结构图确定了一系列次平行的D_2剪切带，这些剪切带与高变形潜力区域相关。现场检查了其他可能发生高变形的区域，发现它们代表结构映射期间未识别的D_2剪切带。变形势测图在解释约翰逊剪切带（JSZ）的西部走向延伸方面被证明是无价的，并且证明了JSZ在Gemmel湖地区以西的拓宽。本文的结果对该带的未来金矿勘探具有重要意义，并已证明VG，VLF和SAR数据可以作为有助于描绘绿岩带内主要构造趋势和高变形带的有用工具。

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