Sowing, Monitoring, Detecting: A Possible Solution to Improve the Visibility of Cropmarks in Cultivated Fields.

IF 2.7 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Filippo Materazzi
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Abstract

This study explores the integration of UAS-based multispectral remote sensing and targeted agricultural practises to improve cropmark detection in buried archaeological contexts. The research focuses on the Vignale plateau, part of the pre-Roman city of Falerii (Viterbo, Italy), where traditional remote sensing methods face challenges due to complex environmental and archaeological conditions. As part of the Falerii Project at Sapienza Università di Roma, a field was cultivated with barley (Hordeum vulgare L.), selected for its characteristics, enabling a controlled experiment to maximise cropmark visibility. The project employed high-density sowing, natural cultivation practises, and monitoring through a weather station and multispectral imaging to observe crop growth and detect anomalies. The results demonstrated enhanced crop uniformity, facilitating the identification and differentiation of cropmarks. Environmental factors, particularly rainfall and temperature, were shown to significantly influence crop development and cropmark formation. This interdisciplinary approach also engaged local stakeholders, including students from the Istituto Agrario Midossi, fostering educational opportunities and community involvement. The study highlights how tailored agricultural strategies, combined with advanced remote sensing technologies, can significantly improve the precision and efficiency of non-invasive archaeological investigations. These findings suggest potential developments for refining the methodology, offering a sustainable and integrative model for future research.

播种、监测、检测:提高耕地作物标记可视性的可能解决方案。
本研究探讨了基于无人机的多光谱遥感与针对性农业实践的集成,以提高埋藏考古背景下的作物标记检测。该研究的重点是Vignale高原,这是前罗马城市Falerii(意大利维特博)的一部分,由于复杂的环境和考古条件,传统的遥感方法面临挑战。作为罗马Sapienza大学Falerii项目的一部分,在一块土地上种植了大麦(Hordeum vulgare L.),根据其特性进行选择,使对照实验能够最大限度地提高作物标记的可见度。该项目采用高密度播种、自然耕作方式,并通过气象站和多光谱成像进行监测,观察作物生长情况,发现异常。结果表明,该方法提高了作物的均匀性,有利于作物标记的识别和区分。环境因素,特别是降雨和温度,对作物发育和作物标记的形成有显著影响。这种跨学科的方法也吸引了当地的利益相关者,包括来自Midossi农业学院的学生,促进了教育机会和社区参与。该研究强调了量身定制的农业策略如何与先进的遥感技术相结合,可以显著提高非侵入性考古调查的精度和效率。这些发现提示了改进方法的潜在发展,为未来的研究提供了一个可持续和综合的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Imaging
Journal of Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
5.90
自引率
6.20%
发文量
303
审稿时长
7 weeks
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