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Istituto sull'inquinamento atmosferico

Torna all'elenco Contributi in rivista anno 2010

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Suitability of CASI and ATM airborne remote sensing data for archaeological subsurface structure detection under different land cover: the Arpi case study (Italy)

Anno di pubblicazione: 2010

Formato: Elettronico

Autori: Pascucci, S.; Cavalli, R.M.; Palombo, A.; Pignatti, S

Affiliazioni autori: National Research Council, Institute for Atmospheric Pollution (CNR IIA-LARA); Institute of Methodologies for Environmental Analysis (CNR IMAA);

Autori CNR:


Lingua: inglese

Abstract: In this paper multi-sensor airborne remote sensing has been applied to the Arpi archaeological area of southern Italy to assess its suitability for detecting and locating subsurface archaeological structures and to delineate subsurface remains beyond the current limits of ground geophysical data. To this aim, the capability of CASI and ATM reflectances in the VIS-NIR spectral range and the ATM apparent thermal inertia for subsurface archaeological prospection have been assessed at different sites of the Arpi archaeological area. First, linear spectral mixture analysis has been applied to CASI and ATM images to retrieve the dominant land cover for the selected subsurface structures, and then, the spectral bands most effective for the archaeological buried structure detection as a function of the land cover characteristics have been evaluated. The results reveal that multi/hyperspectral airborne remote sensing data can represent an effective and rapid tool to detect subsurface structures within different land cover contexts. Therefore, the proposed methodology can be used to perform a preliminary analysis of those areas where large cultural heritage assets occur by prioritizing and localizing the sites where to apply archaeological prospection.

Lingua abstract: inglese

Pagine da: 183

Pagine a: 189

Pagine totali: 8


Journal of geophysics and engineering Institute of Physics Pub. on behalf of Nanjing Institute of Geophysical Prospecting,
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1742-2132

Numero volume: 7

Numero fascicolo: 2

DOI: 10.1088/1742-2132/7/2/s04

Referee: Sė: Internazionale

Indicizzato da: ISI Web of Science (WOS) [000277686000009]

Parole chiave:

  • hyperspectral imagery
  • airborne remote sensing
  • subsurface archaeological
  • structures
  • anomalies

URL: http://iopscience.iop.org/1742-2140

Strutture CNR:


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