{
    "o:id": 10704,
    "url": "https://chloe.cnr.it/s/BiDiAr/item/10704",
    "o:resource_template": "Academic Article",
    "o:resource_class": "bibo:AcademicArticle",
    "dcterms:title": [
        "GIS and remote sensing for post-dictive analysis of archaeological features. A case study from the Etnean region (Sicily)"
    ],
    "dcterms:creator": [
        "Gennaro, Andrea",
        "Candiano, Alessio",
        "Fargione, Gabriele",
        "Mussumeci, Giuseppe",
        "Mangiameli, Michele"
    ],
    "dcterms:date": [
        "2019"
    ],
    "dcterms:language": [
        "eng"
    ],
    "dcterms:rights": [
        "https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0"
    ],
    "dcterms: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 World-View-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."
    ],
    "dcterms:isPartOf": [
        "https://chloe.cnr.it/s/BiDiAr/item/2002"
    ],
    "bibo:doi": [
        "https://doi.org/10.19282/ac.30.2019.18"
    ],
    "bibo:pages": [
        "309-328"
    ],
    "bibo:uri": [
        "https://www.archcalc.cnr.it/journal/articles/1053"
    ],
    "bibo:volume": [
        "30"
    ],
    "foaf:homepage": [
        "https://www.zotero.org/groups/5293298/bidiar/items/4IGIZ9LS/item-list"
    ]
},
