On the fly: Strategies for UAV-based archaeological survey in mountainous areas of Central Asia and their implications for landscape research
On the fly: Strategies for UAV-based archaeological survey in mountainous areas of Central Asia and their implications for landscape research
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动态：中亚山区无人机考古调查策略及其对景观研究的影响
DOI：
10.1016/j.jasrep.2020.102275
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
J. Krumnow
中科院分区：
文献类型：
--
作者：
L. Rouse;J. Krumnow
在过去几年中，将无人机（UAV）纳入考古调查战略，扩大了许多项目的调查地理范围，导致记录的遗址和特征数量增加，并从根本上改变了世界许多地区的解释框架。基于无人机的调查所提供的高分辨率，全覆盖的景观数据似乎非常适合中亚的考古研究;该地区的特点是历史悠久，土地利用模式分散，文化地理多样，当地环境独特。然而，无人机调查策略还没有被广泛纳入中亚考古研究，因此没有影响解释过程的方式与其他地区相比。部分问题在于在中亚大部分地区典型的偏远（离线）和崎岖地形地区操作无人机的后勤挑战，对于这个方法论问题，我们提供了在吉尔吉斯斯坦和塔吉克斯坦山区开发的一些实地测试策略。中亚地区无人机调查面临的另一个重大挑战是景观考古学在该地区的概念和实践都在不断发展。我们通过在无人机生成的数据集为中亚景观的解释带来的收益和挑战的更广泛背景下进行讨论来解决这个学科问题。
The incorporation of Unmanned Aerial Vehicles (UAVs) within archaeological survey strategies over the past several years has broadened the geographical scale of inquiry for many projects, led to an increased number of recorded sites and features, and fundamentally shifted interpretive frameworks in many parts of the world. The high-resolution, full-coverage landscape data offered by UAV-based survey would seem well suited to archaeological study in Central Asia; the region is characterized by a long history of fragmented land-use patterns, variegated cultural geography, and niche local environments. However, UAV survey strategies have not been widely incorporated in Central Asian archaeological research, and subsequently have not impacted interpretative processes in ways comparable to other regions. Part of the problem lies in the logistical challenges of operating UAVs in the areas of remote (offline) and rough terrain typical of much of Central Asia, and to this methodological issue we offer some field-tested strategies developed in mountainous areas of Kyrgyzstan and Tajikistan. Another significant challenge to UAV-based survey in Central Asia lies in the ongoing development of landscape archaeology as both concept and practice in the region. We address this disciplinary problem by framing our discussion in the broader context of the gains and challenges UAV-generated datasets bring to the interpretation of Central Asian landscapes.
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