Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9630
Title: Prospects and limitations of vegetation indices in archeological research: The neolithic thessaly case study
Authors: Agapiou, Athos 
Alexakis, Dimitrios 
Stavrou, Maria 
Sarris, Apostolos 
Themistocleous, Kyriacos 
Hadjimitsis, Diofantos G. 
metadata.dc.contributor.other: Αγαπίου, Άθως
Αλεξάκης, Δημήτριος
Σταύρου, Μαρία
Θεμιστοκλέους, Κυριάκος
Χατζημιτσής, Διόφαντος
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Archaeological crop mark;Archaeological Index;Linear transformation;Remote sensing archaeology;Vegetation index
Issue Date: 23-Dec-2013
Source: Earth Resources and Environmental Remote Sensing/GIS Applications IV, 2013, Dresden, Germany
DOI: 10.1117/12.2028661
Abstract: Vegetation indices have been widely used for the detection of archaeological traces, based on crop marks, during different phenological stages. Such indices can be used in order to enhance interpretation performance of multispectral and hyperspectral satellite data, for identification of buried archeological remains. Although a variety of indices exists in the literature, research is still limited and only a small group of these indices have been explored. This paper aims to highlight the prospects as well the limitations of several broadband vegetation indices for the detection of Neolithic tells in the Thessalian plain (Greece). Several multispectral Landsat 5 TM and Landsat 7 ETM+ satellite images have been used for evaluating the effectiveness of such indices. In addition, new developed algorithms and hyperspectral narrowband indices, specially designed for archaeological research, have been also used and compared using hyperspectral satellite data (EO-Hyperion). Indeed, the Normalized Archaeological Vegetation Index (NAVI) as well as a linear transformation of the Landsat 5 TM were applied to satellite data. The above were also compared to other processing algorithms such as Tasseled - Cap algorithm and Principal Component Analysis. The results have shown that several indices and new algorithms may be used for the enhancement of crop marks, while some no-widely used indices can be successfully used for archaeological purposes. © 2013 SPIE.
URI: https://hdl.handle.net/20.500.14279/9630
ISBN: 978-081949762-8
Rights: © 2013 SPIE.
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Technical University of Crete 
Foundation for Research & Technology-Hellas (F.O.R.T.H.) 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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