Identification of archaeological buried remains based on the normalized difference vegetation index (NDVI) from Quickbird satellite data

In this study, Quickbird normalized difference vegetation index (NDVI) data were used in order to assess their capability in the field of archaeological prospection. The investigations were performed for a test case (Jure Vetere in the south of Italy) that is characterized by the presence of dense vegetation mainly composed by herbaceous plants. The results showed the high capability of QuickBird NDVI to enhance the typical surface anomalies linked to the presence of archaeological buried remains. The detected anomalies were confirmed by independent investigations based on geophysical prospections performed in 2005

[1]  Thomas L. Sever Validating Prehistoric and Current Social Phenomena Upon the Landscape of the Peten, Guatemala , 1997 .

[2]  Yung-Sheng Chen,et al.  A modified fast parallel algorithm for thinning digital patterns , 1988, Pattern Recognit. Lett..

[3]  N. Drake,et al.  Recent Aeolian Origin of Surficial Gypsum Crusts in Southern Tunisia: Geomorphological, Archaeological and Remote Sensing Evidence , 1997 .

[4]  Rosa Lasaponara,et al.  On the potential of QuickBird data for archaeological prospection , 2006 .

[5]  Yun Zhang,et al.  Understanding image fusion , 2004 .

[6]  Rosa Lasaponara,et al.  QuickBird‐based analysis for the spatial characterization of archaeological sites: Case study of the Monte Serico medieval village , 2005 .

[7]  J. Parry The investigative role of Landsat‐TM in the examination of pre‐ and proto‐historic water management sites in Northeast Thailand , 1992 .

[8]  B. Holben Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[9]  M. Pearson,et al.  Landscape archaeology and remote sensing in southern Madagascar , 1998 .

[10]  A. Stephenson,et al.  Air Photo Interpretation for Archaeologists , 1984 .

[11]  William M. Murray,et al.  The Spoils of Actium , 1988 .

[12]  K. White,et al.  Monitoring changing position of coastlines using Thematic Mapper imagery, an example from the Nile Delta , 1999 .

[13]  Jacques Dassié Manuel d'archéologie aérienne , 1978 .

[14]  Tony Lindeberg,et al.  Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.