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Multi Scale Geomorphological Mapping Using High Resolution Satellite Imagery and Unmanned Aerial Vehicle Imagery

机译:使用高分辨率卫星图像和无人机图像的多尺度地貌映射

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Geomorphological maps are inventories of landforms traditionally prepared through ground surveying techniques and interpreted from contour lines. The advancement in remotely sensed sensors, air-borne sensors, digital elevation models (DEM), image processing techniques and spatial analysis capabilities have provided opportunities of landforms structures and evolution mapping on various temporal and spatial scales. Most recent developments in this field is the use of unmanned aerial vehicle (UAV) photogrammetry technique which can be used for rapid spatial data acquisition and produces accurate results. This technique has opened new avenues for geospatial scientists to monitor evolution of geomorphological features. This research aims at comparative analysis of hydro-geomorphological features mapping through high resolution satellite images and UAV images. Since the study area is large, the fixed-wing UAV was employed for data acquisition. Hydro-geomorphological features are always dynamic in nature even if the river has steady flow. Hydro-geomorphological features of study area were mapped through two different spatial data sources i.e. using high resolution satellite imagery and UAV imagery. The UAV imageries were processed using ground control points (GCPs) which are established in the study area through dual frequency real time kinematic (RTK.) GPS receiver. This type of inventory of such hydro-geomorphological features can be used as base data for various civil engineering and natural hazard projects.
机译:地貌图是传统上通过地面测量技术制备的地形的存货,并从轮廓线解释。远程感测传感器的进步,空气传感器,数字高度模型(DEM),图像处理技术和空间分析能力提供了各种时间和空间尺度的地形结构和演进映射的机会。该领域最近的发展是使用无人驾驶飞行器(UAV)摄影测量技术,可用于快速空间数据采集并产生准确的结果。这种技术已经为地理空间科学家开辟了新的途径,以监测地貌特征的演变。该研究旨在通过高分辨率卫星图像和UAV图像进行映射的液晶特征的比较分析。由于研究区域很大,因此使用固定翼UAV用于数据采集。即使河流有稳定的流动,水晶态特征始终是动态的。研究区域的水力正面特征是通过两个不同的空间数据来源映射的,即使用高分辨率卫星图像和UAV图像。使用地面控制点(GCP)处理UAV成像,通过双频实时运动(RTK)GPS接收器在研究区域中建立。这种水性地貌特征的这种类型的库存可用作各种土木工程和自然灾害项目的基础数据。

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