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

Academic Article
Publication Date:
2010
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. © 2010 Nanjing Geophysical Research Institute.
Iris type:
01.01 Articolo in rivista
Keywords:
Airborne remote sensing; Anomalies; Hyperspectral imagery; Photo-interpretation; Subsurface archaeological structures
List of contributors:
PIGNATTI MORANO DI CUSTOZA, Stefano; Palombo, Angelo; Pascucci, Simone
Authors of the University:
PALOMBO ANGELO
PASCUCCI SIMONE
PIGNATTI MORANO DI CUSTOZA STEFANO
Handle:
https://iris.cnr.it/handle/20.500.14243/322630
Published in:
JOURNAL OF GEOPHYSICS AND ENGINEERING
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-77952948094&origin=inward
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