The contribution presents the results of a research that involves the use of data acquired by a multispectral camera transported by a UAV and their analysis and interpretation in the context of archaeological diagnostics. The experimentation expected the acquisition of multispectral images and the extraction of all the possible vegetation indexes on the basis of the spectral bands of the specific camera used (Sentera 6X). The tests, carried out in different contexts (Antium, Nersae), analyze the readability of the index data extracted from multispectral images in comparison with the marks visible in the panchromatic images, especially considering cases in which the marks are visible only in processed indices that interpolate the NIR band.

Use and processing of multispectral images in proximity remote sensing / Ebanista, Laura. - In: ARCHEOLOGIA E CALCOLATORI. - ISSN 1120-6861. - 35:2(2024), pp. 401-410. [10.19282/ac.35.2.2024.42]

Use and processing of multispectral images in proximity remote sensing

Laura Ebanista
2024

Abstract

The contribution presents the results of a research that involves the use of data acquired by a multispectral camera transported by a UAV and their analysis and interpretation in the context of archaeological diagnostics. The experimentation expected the acquisition of multispectral images and the extraction of all the possible vegetation indexes on the basis of the spectral bands of the specific camera used (Sentera 6X). The tests, carried out in different contexts (Antium, Nersae), analyze the readability of the index data extracted from multispectral images in comparison with the marks visible in the panchromatic images, especially considering cases in which the marks are visible only in processed indices that interpolate the NIR band.
2024
multispectral images; NDVI; archaeological diagnostic; vegetation indices
01 Pubblicazione su rivista::01a Articolo in rivista
Use and processing of multispectral images in proximity remote sensing / Ebanista, Laura. - In: ARCHEOLOGIA E CALCOLATORI. - ISSN 1120-6861. - 35:2(2024), pp. 401-410. [10.19282/ac.35.2.2024.42]
File allegati a questo prodotto
File Dimensione Formato  
Ebanista_multispectral-images_2024.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.28 MB
Formato Adobe PDF
1.28 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1730372
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact