首页> 外文会议>Asian conference on remote sensing;ACRS >INTEGRATED USE OF SENTINEL-2, LANDSAT-8 AND CARTOSAT DEM FOR AUTOMATIC LINEAMENT EXTRACTION, TO STUDY ACTIVE TECTONICS IN PARTS OF NW HIMALAYAN FRONTAL THRUST BY USING REMOTE SENSING AND GIS TECHNIQUES
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INTEGRATED USE OF SENTINEL-2, LANDSAT-8 AND CARTOSAT DEM FOR AUTOMATIC LINEAMENT EXTRACTION, TO STUDY ACTIVE TECTONICS IN PARTS OF NW HIMALAYAN FRONTAL THRUST BY USING REMOTE SENSING AND GIS TECHNIQUES

机译:集成使用SENTINEL-2,LANDSAT-8和CARTOSAT DEM进行自动线提取,通过遥感和GIS技术研究西北喜马拉雅山顶冲的部分活动构造

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The lineaments are important structural and geological indicator to determine tectonic trends and fractures zones in the rocks. The study involves automatic extraction and digital analysis of lineaments to understand the tectonic setting of the area. The scope of the work is to avoid the bias related to the visual interpretation of lineaments and to increase the speed of data processing. Himalayan Frontal Thrust (HFT) demarcates a sharp physiographic and active tectonic boundary between Himalayan foothills and recent alluvial plain. The study area constitutes NW part of Sub-Himalaya between Sutlej to Ghaggar river. The aim of this work is to use of Cartosat DEM derived auxiliary data (hill shade, slope, aspect and drainage map) and lineaments extracted from Sentinel-2 and Landsat-8 data in tectonic induction. The methodology involves (1) essential input data, (2) preprocessing of the satellite image (3) extracting of lineaments from satellite images (4) interpreting the lineaments using DEM and auxiliary data. The software ENVI 5.3 is used for image pre-processing, Geomatica for lineament extraction, ArcGIS 10.3 for the splitting of lineament, density map generation, auxiliary data generation and Rockwork 16 for the rose diagram. Three geospatial analyses are applied in order to evaluate the lineaments i.e. length, density, and orientation. It is observed that the predominant direction of lineaments is in NE-SW and is perpendicular to the major structural trend (NNW-SSE). The trend of lineament indicates the direction of maximum principal compressive stress and displacement along major faults. The maximum density of lineaments lies along major fault zones of the area. The lineament density value is relatively higher in the high relief area due to the presence of fractured rocks owing to the structurally active terrain along the Siwalik range. Overlaying of detected lineaments, drainage and slope-aspect map illustrates their geospatial relation with the regional tectonic setting. The drainage pattern (Sub-parallel & Trellis) and drainage anomalies (offset streams, stream capture) found associated with Himalayan frontal thrust, Pinjore Garden Fault and Nalagarh thrust attributed active tectonic activities in the area. From the integrated approach of multispectral remote sensing data and DEM, it is concluded that the north-western part of Sub-Himalaya is seismically very active.
机译:岩层是确定岩石构造趋势和断裂带的重要结构和地质指标。这项研究涉及自动提取和数字分析的界线,以了解该地区的构造环境。工作范围是避免与线条的视觉解释有关的偏见,并提高数据处理的速度。喜马拉雅山前冲断层(HFT)在喜马拉雅山麓和最近的冲积平原之间划定了鲜明的地貌和活跃的构造边界。该研究区域构成了Sutlej至Ghaggar河之间的喜玛拉雅山(Sub-Himalaya)的西北部分。这项工作的目的是在构造感应中使用从Cartosat DEM派生的辅助数据(山坡,坡度,坡度和排水图)以及从Sentinel-2和Landsat-8数据中提取的线条。该方法涉及(1)基本输入数据,(2)卫星图像的预处理(3)从卫星图像中提取线条(4)使用DEM和辅助数据解释线条。使用ENVI 5.3软件进行图像预处理,使用Geomatica进行线条提取,使用ArcGIS 10.3进行线条分割,密度图生成,辅助数据生成,并使用Rockwork 16绘制玫瑰图。应用三个地理空间分析以评估线条,即长度,密度和方向。可以看出,纹路的主要方向在NE-SW中,并且垂直于主要结构趋势(NNW-SSE)。线性趋势表明最大的主压应力和沿主要断层的位移的方向。纹线的最大密度沿该区域的主要断层带分布。由于沿着Siwalik范围的构造活跃的地形,由于存在碎裂岩石,因此在高起伏区域中,线型密度值相对较高。探测到的线,排水和坡度图的叠加说明了它们与区域构造环境的地理空间关系。发现与喜马拉雅山前缘逆冲,Pinjore Garden Fault和Nalagarh逆冲有关的排水模式(亚平行和网格)和排水异常(偏流,河流捕获)归因于该地区活跃的构造活动。从多光谱遥感数据和DEM的综合方法可以得出结论,喜马拉雅山的西北部在地震方面非常活跃。

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