This article illustrates the potential of multispectral satellite data for archaeological scope in the volcanic area of Mount Etna (Sicily, Italy). In particular, by adopting a post-dictive approach, GIS and FOSS technology was used to analyse different indices derived from WorldView-2 multispectral data. The selected examples – two circular buildings and a wall-structure – illustrate successes and challenges of our method. The results indicate that NIR_1 and RED_ EDGE are undoubtedly the most useful, while NDVI and SRI are the best performing indices.
GIS and remote sensing for post-dictive analysis of archaeological features. A case study from the Etnean region (Sicily)
Mussumeci G.;
2019-01-01
Abstract
This article illustrates the potential of multispectral satellite data for archaeological scope in the volcanic area of Mount Etna (Sicily, Italy). In particular, by adopting a post-dictive approach, GIS and FOSS technology was used to analyse different indices derived from WorldView-2 multispectral data. The selected examples – two circular buildings and a wall-structure – illustrate successes and challenges of our method. The results indicate that NIR_1 and RED_ EDGE are undoubtedly the most useful, while NDVI and SRI are the best performing indices.File in questo prodotto:
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