Inventory of natural processes with nautical charts, real-time kinematic global navigation satellite systems (RTK-GNSS), and unmanned aerial vehicle (UAV), Trindade Island, Brazil

IF 1.3 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
Fernanda Avelar Santos, M. C. Souza, Lázaro Valentin Zuquette, R. J. Angulo, M. Rosa, Adriana Ahrendt Talamini, C. A. Figueiredo
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Abstract

The volcanic Trindade Island is a remote Brazilian offshore territory in the South Atlantic, located ca. 1.140 kilometers east of the southeast coast of Brazil. The island’s permanent exposure to geological hazards requires assessment. However, the lack of erosion and landslides temporal data impedes predictive geohazard analyses. Therefore, we compiled pre-existing data from nautical charts and surveyed the surface terrain on Trindade Island to generate Digital Terrain Models (DTMs) and comparative accuracy analyses. The DTM based on pre-existing data shows the lowest accuracy (root mean square error – RMSE: 12.3 m) yet is adequate for regional studies. In contrast, the DTM developed from real-time kinematic global navigation satellite systems (RTK-GNSS) has the highest vertical accuracy (RMSE: 0.48 m), but spatial variability of ground elements was underestimated and limited to meter-sized (and larger) elements. The DTM obtained using the unmanned aerial vehicle (UAV) with ground control points (GCP), on the other hand, presented lower accuracy (RMSE: 2.37 m) than the RTK-GNSS model but still allowed observation of centimetric (and larger) ground features. For geohazard assessment on Trindade Island, models that allow fine-scale studies are needed. A UAV with GCP provides such standards and proved to be the most viable option in remote and complex sites as well. Hence, this study, the first to allow multi-temporal analysis of geohazard assessment on Trindade Island, offers a viable solution for similar analyses in other remote locations.
带有海图的自然过程清单,实时运动学全球导航卫星系统(RTK-GNSS)和无人机(UAV), Trindade岛,巴西
火山喷发的特林达德岛是巴西在南大西洋的一个偏远的近海领土,位于巴西东南海岸以东约1.140公里处。需要对该岛长期暴露于地质灾害的情况进行评估。然而,缺乏侵蚀和滑坡的时间数据阻碍了预测地质灾害的分析。因此,我们从海图中收集了已有的数据,并对Trindade岛的地表地形进行了调查,生成了数字地形模型(dtm)并进行了比较精度分析。基于已有数据的DTM显示出最低的精度(均方根误差- RMSE: 12.3 m),但足以用于区域研究。相比之下,由实时运动学全球导航卫星系统(RTK-GNSS)开发的DTM具有最高的垂直精度(RMSE: 0.48 m),但地面要素的空间变异性被低估,并且仅限于米级(或更大)要素。另一方面,使用具有地面控制点(GCP)的无人机(UAV)获得的DTM比RTK-GNSS模型精度低(RMSE: 2.37 m),但仍然可以观测到厘米级(及更大)的地面特征。对于特林达德岛的地质灾害评估,需要能够进行精细研究的模型。具有GCP的无人机提供了这样的标准,并且在远程和复杂地点也被证明是最可行的选择。因此,这项研究首次允许对特林达德岛的地质灾害评估进行多时间分析,为其他偏远地区的类似分析提供了可行的解决办法。
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来源期刊
Brazilian Journal of Geology
Brazilian Journal of Geology GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.20
自引率
7.10%
发文量
12
审稿时长
11 weeks
期刊介绍: The Brazilian Journal of Geology (BJG) is a quarterly journal published by the Brazilian Geological Society with an electronic open access version that provides an in-ternacional medium for the publication of original scientific work of broad interest concerned with all aspects of the earth sciences in Brazil, South America, and Antarctica, in-cluding oceanic regions adjacent to these regions. The BJG publishes papers with a regional appeal and more than local significance in the fields of mineralogy, petrology, geochemistry, paleontology, sedimentology, stratigraphy, structural geology, tectonics, neotectonics, geophysics applied to geology, volcanology, metallogeny and mineral deposits, marine geology, glaciology, paleoclimatology, geochronology, biostratigraphy, engineering geology, hydrogeology, geological hazards and remote sensing, providing a niche for interdisciplinary work on regional geology and Earth history. The BJG publishes articles (including review articles), rapid communications, articles with accelerated review processes, editorials, and discussions (brief, objective and concise comments on recent papers published in BJG with replies by authors). Manuscripts must be written in English. Companion papers will not be accepted.
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