利用环境地理空间分析识别森林中的历史轨迹

IF 2.1 3区 地球科学 0 ARCHAEOLOGY
Martina Slámová, Noémi Beljak Pažinová, Ingrid Belčáková, Ján Beljak, Pavol Maliniak
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引用次数: 0

摘要

本文展示了揭示微观地形特征的方法的应用,特别是指示森林中历史轨道遗迹的下沉线性地貌。这些与斯洛伐克中部沙漠城堡和Peťuša城堡附近的“Magna Via”路线有关。指示下沉线性地貌的微观地形验证数据集用于评估全球定位导航系统(GNSS)识别的轨道和使用最小成本路径(LCP)算法创建的轨道模型的数据重叠。高分辨率光探测和测距(LiDAR)扫描(密度为5点/像素)生成的数字地形模型产生的微地形特征使我们能够确定与下沉线性地貌重叠的GNSS轨道和LCP的某些部分的确切位置(亚米总垂直和水平精度)。此外,考虑到取决于坡度参数的出行成本,LCP模型显示了最有效的轨道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of historical trackways in forests using contextual geospatial analyses

Identification of historical trackways in forests using contextual geospatial analyses

This article demonstrates the application of the methods unravelling microtopographic features, specifically, sunken linear landforms indicating remains of historical trackways in forests. These are related to the ‘Magna Via’ route in the vicinity of the Deserted Castle and the Peťuša Castle in Central Slovakia. The microtopography validation dataset indicating sunken linear landforms was used to evaluate the data overlap of tracks identified by the global positioning and navigation system (GNSS) and a model of tracks created with the least cost path (LCP) algorithm. Microtopographic features derived from a digital relief model generated by high-resolution Light Detection and Ranging (LiDAR) scans (density of 5 points/pixel) allowed us to determine the exact position (submeter total vertical and horizontal accuracy) of certain segments of the GNSS tracks and LCP overlapping the sunken linear landforms. Moreover, the LCP model shows the most efficient trackways considering the travel costs depending on the slope parameter.

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来源期刊
Archaeological Prospection
Archaeological Prospection 地学-地球科学综合
CiteScore
3.90
自引率
11.10%
发文量
31
审稿时长
>12 weeks
期刊介绍: The scope of the Journal will be international, covering urban, rural and marine environments and the full range of underlying geology. The Journal will contain articles relating to the use of a wide range of propecting techniques, including remote sensing (airborne and satellite), geophysical (e.g. resistivity, magnetometry) and geochemical (e.g. organic markers, soil phosphate). Reports and field evaluations of new techniques will be welcomed. Contributions will be encouraged on the application of relevant software, including G.I.S. analysis, to the data derived from prospection techniques and cartographic analysis of early maps. Reports on integrated site evaluations and follow-up site investigations will be particularly encouraged. The Journal will welcome contributions, in the form of short (field) reports, on the application of prospection techniques in support of comprehensive land-use studies. The Journal will, as appropriate, contain book reviews, conference and meeting reviews, and software evaluation. All papers will be subjected to peer review.
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