Archaeological Remote Sensing Using Multi-Temporal, Drone-Acquired Thermal and Near Infrared (NIR) Imagery: A Case Study at the Enfield Shaker Village, New Hampshire
Archaeological Remote Sensing Using Multi-Temporal, Drone-Acquired Thermal and Near Infrared (NIR) Imagery: A Case Study at the Enfield Shaker Village, New Hampshire
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DOI：
10.3390/rs12040690
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发表时间：
2020-02-01
期刊：
影响因子：
5
通讯作者：
Casana, Jesse
中科院分区：
文献类型：
--
作者：
Hill, Austin Chad;Laugier, Elise Jakoby;Casana, Jesse
虽然考古学家早就知道热图像和多光谱图像可以揭示广泛的古代文化景观特征，但直到最近，无人机和传感器技术的进步使我们能够以足够高的空间和时间分辨率收集这些数据，用于考古现场设置。本文介绍了美国新罕布什尔州恩菲尔德 Shaker Village 的一项研究结果，其中我们收集了多光谱可见光、近红外 (NIR) 和热图像的时间序列，以便更好地了解各种传感器的最佳背景和环境条件。我们提出了从图像中去除噪声并组合多个栅格数据集的新方法，以提高考古特征的可见性。分析比较了航空成像与探地雷达和磁梯度测量的结果，说明了这些不同遥感方法的互补性。结果证明了高分辨率热图像和近红外图像以及多时相图像分析对于检测地表及地下考古特征的价值，为将这些新兴技术整合到考古现场调查中提供了一套改进的方法。
While archaeologists have long understood that thermal and multi-spectral imagery can potentially reveal a wide range of ancient cultural landscape features, only recently have advances in drone and sensor technology enabled us to collect these data at sufficiently high spatial and temporal resolution for archaeological field settings. This paper presents results of a study at the Enfield Shaker Village, New Hampshire (USA), in which we collect a time-series of multi-spectral visible light, near-infrared (NIR), and thermal imagery in order to better understand the optimal contexts and environmental conditions for various sensors. We present new methods to remove noise from imagery and to combine multiple raster datasets in order to improve archaeological feature visibility. Analysis compares results of aerial imaging with ground-penetrating radar and magnetic gradiometry surveys, illustrating the complementary nature of these distinct remote sensing methods. Results demonstrate the value of high-resolution thermal and NIR imagery, as well as of multi-temporal image analysis, for the detection of archaeological features on and below the ground surface, offering an improved set of methods for the integration of these emerging technologies into archaeological field investigations.