Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/19054
Title: Evaluating ten spectral vegetation indices for the identification of military underground structures
Authors: Melillos, George 
Themistocleous, Kyriacos 
Agapiou, Athos 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Crop marks;Cyprus;Ground spectroscopy;Remote Sensing;Vegetation indices
Issue Date: 27-Jun-2019
Source: Seventh International Conference on Remote Sensing and Geoinformation of the Environment, 2019, 18-21 March, Paphos, Cyprus
Conference: International Conference on Remote Sensing and Geoinformation of the Environment 
Abstract: Ten, widely-used vegetation indices (VIs), were evaluated for their ability to identify military underground structures. During this study, several ground spectroradiometric campaigns took place, in a fenced military area in Cyprus, cultivated with barley crops, during a complete phenological cycle (2016-2017). A SVC HR-1024 field spectroradiometer was used and in-band reflectances were determined for medium and high resolution satellite sensors, including Landsat 8. The measurements were taken at the following test areas: (a) vegetation area covered with the vegetation (barley), in the presence of an underground military structure (b) vegetation area covered with the vegetation (barley), in the absence of an underground military structure. The test areas were identified, analyzed and modelled under different scenarios. All vegetation indices were evaluated for their separability performance, and the results were presented through image maps.
URI: https://hdl.handle.net/20.500.14279/19054
ISBN: 978-151063061-1
DOI: 10.1117/12.2532788
Rights: © SPIE
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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