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LiDAR-guided Archaeological Survey of a Mediterranean Landscape: Lessons from the Ancient Greek Polis of Kolophon (Ionia, Western Anatolia)
Archaeological Prospection ( IF 2.1 ) Pub Date : 2017-04-25 , DOI: 10.1002/arp.1572
Benedikt Grammer 1 , Erich Draganits 2, 3 , Martin Gretscher 4 , Ulrike Muss 4
Affiliation  

Abstract In 2013, an airborne laser scan survey was conducted in the territory of the Ionian city of Kolophon near the western coast of modern Turkey as part of an archaeological survey project carried out by the Mimar Sinan University of Istanbul (Turkey) and the University of Vienna (Austria). Several light detection and ranging (LiDAR) studies have been carried out in the temperate climate zones of Europe, but only a few in Mediterranean landscapes. Our study is based on the first LiDAR survey carried out for an archaeological purpose in Turkey and one of the first in the Mediterranean that have been planned, measured and filtered especially for archaeological research questions. The interpretation of LiDAR data combined with ground‐observations proved extremely useful for the detection and documentation of archaeological remains below Mediterranean evergreen vegetation and dense maquis. This article deals with the methodological aspects of interpreting LiDAR data, using the Kolophon data as a case study. We offer a discussion of the strengths and limitations of LiDAR as an archaeological remote sensing method and suggest a best practice model for interpreting LiDAR data in a Mediterranean context. © 2017 The Authors. Archaeological Prospection published by John Wiley & Sons Ltd.

中文翻译:

LiDAR 引导的地中海景观考古调查:来自古希腊 Kolophon Polis(爱奥尼亚,安纳托利亚西部)的教训

摘要 2013 年,作为伊斯坦布尔米马尔希南大学(土耳其)和土耳其大学开展的考古调查项目的一部分,在现代土耳其西海岸附近的爱奥尼亚城市 Kolophon 境内进行了一次机载激光扫描调查。维也纳,奥地利)。在欧洲的温带气候区进行了多项光探测和测距 (LiDAR) 研究,但在地中海景观中仅进行了少数研究。我们的研究基于在土耳其为考古目的而进行的第一次 LiDAR 调查,也是地中海地区首次针对考古研究问题进行规划、测量和过滤的调查。LiDAR 数据的解释与地面观测相结合,被证明对于地中海常绿植被和茂密的马基斯以下考古遗迹的检测和记录非常有用。本文使用 Kolophon 数据作为案例研究,讨论解释 LiDAR 数据的方法论方面。我们讨论了 LiDAR 作为考古遥感方法的优势和局限性,并提出了在地中海背景下解释 LiDAR 数据的最佳实践模型。© 2017 作者。John Wiley & Sons Ltd. 出版的考古展望 我们讨论了 LiDAR 作为考古遥感方法的优势和局限性,并提出了在地中海背景下解释 LiDAR 数据的最佳实践模型。© 2017 作者。John Wiley & Sons Ltd. 出版的考古展望 我们讨论了 LiDAR 作为考古遥感方法的优势和局限性,并提出了在地中海背景下解释 LiDAR 数据的最佳实践模型。© 2017 作者。John Wiley & Sons Ltd. 出版的考古展望
更新日期:2017-04-25
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