id
	4786
Url
	https://chloe.cnr.it/s/BiDiAr/item/4786
Resource template
	Dataset
Resource class
	dctype:Dataset
Title
	Vulci 3000: Multispectral drone for the reconstruction of Etruscan landscapes in Italy
Creator
	https://chloe.cnr.it/s/BiDiAr/item/4787
	https://chloe.cnr.it/s/BiDiAr/item/5344
	https://chloe.cnr.it/s/BiDiAr/item/4783
	https://chloe.cnr.it/s/BiDiAr/item/5345
	https://chloe.cnr.it/s/BiDiAr/item/5346
Description
	During the summers of 2016 and 2017, a series of Unoccupied Aircraft System (UAS, aka drone) missions were flown over the Vulci plateau, an archaeological relevant site near Rome, Italy. The city of Vulci played a prominent role in Italian history and remains a pivotal piece in understanding the physical and social changes that occurred for both Etruscan and Roman cultures between ~9th century BCE and the ~4th century CE. Given the temporal and financial costs of conducting traditional archaeological excavation on a city-wide scale, remote sensing provides a practical and effective method of collecting data that can give archaeologists a crucial perspective on the remains that lie beneath the surface. The UAS flights were conducted using fixed wing drones equipped with optical (RGB), red edge (RE) and near infrared (NIR) sensors. The present dataset provides raw geolocated images and processed geospatial products (orthomosaics, digital elevation models, and reflectance maps) for both survey years and all sensors. These data products are supplemented with information on individual flight dates, areal coverages, image processing workflows, and associated details on spatial accuracy and resolution. These data will expand the potential for new discoveries in this location through direct access to high quality geospatial information.
Publisher
	https://chloe.cnr.it/s/BiDiAr/item/4792
Type
	Multispectral Pictures
	UAV Imagery
	Elevation Model
Format
	https://www.iana.org/assignments/media-types/image/jpeg .jpeg
	https://www.iana.org/assignments/media-types/application/mp4 .mp4
	https://www.iana.org/assignments/media-types/image/tiff .tiff
	https://www.iana.org/assignments/media-types/application/pdf .pdf
Identifier
	https://doi.org/10.7924/r4b282d03
Language
	eng
Date Issued
	2023-10-23
Is Part Of
	https://chloe.cnr.it/s/BiDiAr/item/4081
Spatial Coverage
	https://chloe.cnr.it/s/BiDiAr/item/224
Temporal Coverage
	https://chloe.cnr.it/s/BiDiAr/item/2856
	https://chloe.cnr.it/s/BiDiAr/item/2855
	https://chloe.cnr.it/s/BiDiAr/item/2854
	https://chloe.cnr.it/s/BiDiAr/item/2850
	https://chloe.cnr.it/s/BiDiAr/item/2848
Access Rights
	Open Access

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