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Synergistic Use of UAV and USV Data and Petrographic Analyses for the Investigation of Beachrock Formations: A Case Study from Syros Island, Aegean Sea, Greece

机译:无人机和无人飞行器数据的协同使用以及岩相分析在滩涂岩层研究中的应用:以希腊爱琴海锡罗斯岛为例

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Up until the last ten years, remote sensing data and especially high-resolution satellite data and airphotos were mainly used in shallow water mapping. The evolution and low cost of unmanned aerial vehicles (UAVs) provides a new tool for coastal area monitoring. This paper presents the synergistic use of a small commercial UAV and an unmanned surface vehicle (USV) for beachrock mapping in Syros Island, Greece. RGB images collected with a quadcopter were processed using Structure from Motion (SFM) photogrammetry in order to create digital surface models (DSMs) and orthophotos of the coastline. A beachrock lying in shallow waters was detected and mapped using the UAV derived products. At the same time, a USV equipped with a compact side scan sonar (SSS) and bathymetric sonar system, provided the shape of the beachrock by mosaicking the backscatter strength of the SSS. In order to evaluate the results of the UAV and USV data derivatives, the beachrock perimeter and its depth were also mapped using a differential global navigation satellite system (GNSS) receiver. During the fieldwork, samples from the beachrock were collected and analyzed in the laboratory. The mineralogical composition of the bulk samples was determined by powder X-ray diffraction (XRD). Further petrographic study was also performed by petrographic polarizing microscope, macroscope, and scanning electron microscopy (SEM). Beachrock samples are classified as fine to medium grain sandstones and conglomerates. The mineral compositions of their grains and lithoclasts reflect the bedrocks of Syros Island (mainly metamorphic rocks) while a micritic high-Mg calcite constitutes the cement of these rocks.
机译:直到最近十年,遥感数据,尤其是高分辨率卫星数据和航拍照片主要用于浅水制图。无人机的发展和低成本为海岸地区监测提供了一种新工具。本文介绍了在希腊锡罗斯岛的海滩岩石制图中,小型商用无人机和无人水面飞行器(USV)的协同使用。为了创建海岸线的数字表面模型(DSM)和正射影像,使用“运动结构”(SFM)摄影测量法处理了用四轴飞行器收集的RGB图像。使用无人机衍生产品检测并绘制了浅水区的滩涂。同时,配备紧凑型侧面扫描声纳(SSS)和测深声纳系统的USV通过镶嵌SSS的反向散射强度来提供沙滩岩的形状。为了评估UAV和USV数据导数的结果,还使用差分全球导航卫星系统(GNSS)接收器绘制了滩礁周长及其深度。在野外工作期间,收集了滩涂样品并在实验室中进行了分析。散装样品的矿物学组成通过粉末X射线衍射(XRD)确定。还通过岩石偏振镜,宏观镜和扫描电子显微镜(SEM)进行了进一步的岩石学研究。滩石样品被分类为细粒至中粒砂岩和砾岩。它们的颗粒和碎石碎屑的矿物成分反映了锡罗斯岛的基岩(主要是变质岩),而一种微镁的高镁方解石构成了这些岩石的水泥。

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