The use of drones for archaeological research has been increasing rapidly in recent years, as can be seen in the large number of studies mentioning their use. Nonetheless, few of these studies focus on the identification of archaeological marks, and even fewer are based on multispectral imaging. This study demonstrates how drone multispectral remote sensing combined with an agronomic approach can guarantee great improvements in the identification of crop marks, opening up opportunities from both an economic and scientific point of view. An innovative multispectral camera makes it possible to record the vegetation reflectance in four different bands of the electromagnetic spectrum, including the near infrared spectrum, which is the most important band for vegetation analysis. The aerial imagery was processed using vegetation indices to identify crop marks, through the analysis of the type and variations of vegetation stress produced by buried remains. The experimental application of this technique on a portion of the Etruscan city of Veii demonstrates how, even in a single flight that was undertaken slightly later than the ideal timing, it was possible to detect and interpret a considerable amount of particularly significant archaeological marks.

近年来，无人机在考古研究中的使用迅速增加，从大量提到其使用的研究中可以看出。尽管如此，这些研究中很少有人关注考古标记的识别，基于多光谱成像的研究更少。这项研究展示了无人机多光谱遥感与农艺方法相结合如何保证作物标记识别的巨大改进，从 经济和科学的角度开辟了机会。创新的多光谱相机可以记录四个不同电磁光谱波段的植被反射率，包括近红外光谱，这是最重要的 用于植被分析的波段。通过分析 掩埋遗骸产生的植被压力的类型和变化，使用植被指数处理航拍图像以识别作物标记。这项技术在伊特鲁里亚城市Veii的一部分上的实验应用表明，即使在 比理想时间稍晚的单次飞行中，也可以检测和解释大量特别重要的考古标记。