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Multispectral remote sensing for post‐dictive analysis of archaeological remains. A case study from Bronte (Sicily)
Archaeological Prospection ( IF 1.8 ) Pub Date : 2019-07-29 , DOI: 10.1002/arp.1745
Andrea Gennaro 1 , Alessio Candiano 2 , Gabriele Fargione 2 , Michele Mangiameli 2 , Giuseppe Mussumeci 2
Affiliation  

In recent years, the use of remote sensing in archeology has rapidly grown, having being proven particularly useful for landscape archaeology investigations. The quality of results obtained through remote sensing mainly depends on the number of bands that can be exploited, the spatial and spectral resolution of imagery and the methodology used. In this work, adopting a post‐dictive approach, multispectral remote sensing data from World‐View 2 (WV‐2) were used in order to detect archaeological features in the volcanic area of Bronte (Sicily, Italy), a town 40 km from Catania. The selected area lies in the western slope of Etna, inside the boundary of Etna Park. Here, the archaeological research is affected by specific problems. The geology and the spontaneous vegetation of this fascinating environment represents one of the biggest issues. The entire research was conducted using free and open source software (FOSS) within a low‐cost logic that allows study of landscapes using limited budget. The strategy developed in our study is directed towards a post‐dictive approach to archeological data and remote sensing techniques. We analyzed an area where archeological buildings are now visible, but WV‐2 multispectral images have been deliberately selected prior to the archaeological excavations carried out in 2015. In this way, we can evaluate and test instruments and techniques at our disposal, emphasizing weaknesses and strengths. The final results illustrate the benefits and challenges of performing multispectral imagines for archaeological investigations. The use of some of the most promising vegetation indices, especially Normalized Difference Vegetation Index (NDVI) and Simple Ratio Index (SRI), is analysed and discussed, while the post‐dictive approach suggests that the more useful bands are undoubtedly NIR_1 and RED_EDGE.

中文翻译:

多光谱遥感,用于考古遗迹的后预测分析。勃朗特(西西里岛)的案例研究

近年来,遥感在考古学中的应用已迅速增长,已被证明对景观考古学研究特别有用。通过遥感获得的结果质量主要取决于可以利用的波段数量,图像的空间和光谱分辨率以及所使用的方法。在这项工作中,采用后预测方法,使用了World-View 2(WV-2)的多光谱遥感数据来检测勃朗特火山区(意大利西西里岛)的考古特征,该镇距意大利40公里卡塔尼亚。所选区域位于埃特纳火山(Etna Park)边界内的埃特纳火山(Etna)西坡。在这里,考古学研究受到特定问题的影响。这个迷人环境的地质和自发植被是最大的问题之一。整个研究是在低成本逻辑下使用免费和开源软件(FOSS)进行的,该逻辑允许使用有限的预算研究景观。我们研究中开发的策略是针对考古数据和遥感技术的后预测方法。我们分析了现在可以看到考古建筑的区域,但是在2015年进行考古发掘之前,已经故意选择了WV-2多光谱图像。通过这种方式,我们可以评估和测试可供使用的仪器和技术,强调弱点和长处 最终结果说明了在考古研究中进行多光谱想象的好处和挑战。使用一些最有前途的植被指数,
更新日期:2019-07-29
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