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Detailed Lithological Mapping using Airborne LiDAR Topographic Data: Application to the Troodos Ophiolite, Cyprus

机译:使用空中激光雷达地形数据的详细岩性测绘:应用于Troodos Ophiolite,塞浦路斯

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Geological mapping is traditionally undertaken through field-based surveys. As detailed field mapping over vast areas is both costly and time-consuming, mapping is often conducted at small-scales, potentially resulting in a lack of accurate and detailed lithological information. Remote sensing data, such as aerial photographs and satellite imagery, is typically used to try help and overcome some of the problems associated with field mapping. However, spatial and spectral limitations of the imagery and dense forest cover may affect the ability to undertake detailed lithological mapping using such data. With the capability of acquiring accurate and high-resolution topographic data in forested terrain, airborne Light Detection And Ranging (LiDAR) provides an opportunity to overcome these problems. An algorithm is presented for the detailed lithological mapping of a 16 km~(2) section of the Troodos ophiolite, Cyprus, using airborne LiDAR topographic data. Morphometric variables (slope, curvature and surface roughness) are derived from a 4 m bare-earth digital elevation model in order to characterise topographic signatures associated with each major lithological unit. An artificial neural network is then used to produce a lithological map through pixel classification with these variables as inputs. This algorithm successfully identifies the major lithological units and the resultant map surpasses the quality and detail of the existing geological maps. The results of this study demonstrate the significant potential of airborne LiDAR topographic data to enable lithological discrimination and quickly furnish detailed geological maps over large areas of either forested or non-forested terrain.
机译:地质映射传统上通过基于现场的调查进行。随着在广大领域的详细领域绘图既昂贵又耗时,映射通常以小规模进行,可能导致缺乏准确和细致的岩性信息。遥感数据,例如航拍照片和卫星图像,通常用于尝试帮助并克服与现场映射相关的一些问题。然而,图像和致密森林覆盖的空间和光谱限制可能会影响使用此类数据进行详细岩性映射的能力。随着在森林地形中获取准确和高分辨率的地形数据,空中光线检测和测距(LIDAR)提供了克服这些问题的机会。使用空气传播的激光雷达地形数据,提出了一种算法的16 km〜(2)段的16 km〜(2)段的详细岩性映射。形态学变量(斜率,曲率和表面粗糙度)源自4M裸地数字高度模型,以表征与每个主要岩性单元相关联的地形签名。然后使用人工神经网络通过与这些变量为输入来产生典型的典型图。该算法成功地识别了主要岩性单位,所得到的地图超越了现有地质图的质量和细节。本研究的结果展示了机载激光雷达地形数据的重要潜力,以实现岩性歧视,并在森林或非森林地形的大面积上迅速提供详细的地质图。

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