微型无人机在野外构造地质中的应用:加拿大新斯科舍省北山玄武岩的摄影测量和裂缝量化案例研究

A. Peace, S. Jess
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引用次数: 0

摘要

无人机在地球科学研究和教学中的应用越来越广泛,各种应用都有记录。许多研究支持消费级无人机,然而,所谓的“微型无人机”(起飞重量<250克)的最新发展需要进一步调查,以确定可能的好处、限制和未来的发展。由于法规较少,成本较低,运输简单,微型无人机部署在许多司法管辖区通常是有利的。在这项研究中,我们部署了一架DJI Mini 2微型无人机,研究了加拿大新斯科舍省芬迪湾沿岸露头中暴露的约201 Ma的北山玄武岩(NMB)。我们报告了微型无人机作为现场援助的三种相关方法的好处:1)一般现场定位和表征,2)使用ArcGIS Drone2Map进行基于无人机的摄影测量,以及3)使用FracPaQ进行定量裂缝测绘。这些方法的应用表明,从NMB曝光中获取的微型无人机图像为野外解译提供了宝贵的资源。微型无人机数据显示,NMB有两个接近垂直的裂缝集:~NNE-SSW和~ESE-WNW,沿海岸线有一定的变化。总的来说,我们认为微型无人机由于快速部署、简单的图像捕获过程和相对直接的数据处理,为现场地球科学家提供了一个有价值的工具,因此预测这种增强现场工作的方法将继续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microdrones in field-based structural geology: a photogrammetry and fracture quantification case study from the North Mountain Basalt, Nova Scotia, Canada
Drone use in geoscience research and teaching is becoming widespread, with diverse applications documented. Many studies favour consumer-level drones, however, recent developments in so-called ‘microdrones’ (takeoff weight <250 g) necessitates further investigation to determine possible benefits, limitations, and future developments. Microdrone deployment is often advantageous in numerous jurisdictions due to fewer regulations, lower cost, and simple transportation. In this study, we deployed a DJI Mini 2 microdrone to study the ca. 201 Ma North Mountain Basalt (NMB) exposed in coastal outcrops along the Bay of Fundy, Nova Scotia, Canada. We report benefits of the microdrone as a field aid with three related approaches: 1) general site location and characterisation, 2) drone-based photogrammetry using ArcGIS Drone2Map, and 3) quantitative fracture mapping using FracPaQ. Application of these methods, showed that microdrone-acquired imagery from the NMB exposures provides a valuable resource for interpretation post-fieldwork. The microdrone-derived data shows, two near-perpendicular fracture sets in the NMB: ~NNE-SSW and ~ESE-WNW, with some variation along the coastline. Overall, we determined that microdrones offer field-based geoscientists a valuable tool due to quick deployment, a simple image capture process and relatively straight forward data processing, and thus predict that this approach to enhancing fieldwork will continue to advance.
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