Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/22425
Title: Detecting Underground Military Structures Using Field Spectroscopy
Authors: Melillos, George 
Themistocleous, Kyriacos 
Agapiou, Athos 
Michaelides, Silas 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Spectroscopy;Military underground structures;Vegetation indices;Landsat
Issue Date: 31-Oct-2019
Source: Military Engineering, 2019
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Abstract: Satellite remote sensing is considered as an increasingly important technology for detecting underground structures. It can be applied to a wide range of applications, as shown by various researchers. However, there is a great need to integrate information from a variety of sources, sent at different times and of different qualities using remote sensing tools. A SVC-HR1024 field spectroradiometer could be used, and in-band reflectance’s are determined for medium- and highresolution satellite sensors, including Landsat. Areas covered by natural soil where underground structures are present or absent can easily be detected, as a result of the change in the spectral signature of the vegetation throughout the phenological stages; in this respect, vegetation indices (VIs) such as the normalized difference vegetation index (NDVI), simple ratio (SR), and enhanced vegetation index (EVI) may be used for this purpose. Notably, the SR vegetation index is useful for determining areas where military underground structures are present.
URI: https://ktisis.cut.ac.cy/handle/10488/22425
ISBN: 978-1-83880-316-2
DOI: 10.5772/intechopen.86690
Rights: This chapter is distributed under the terms of the Creative Commons Attribution License.
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Book Chapter
Affiliation : Cyprus University of Technology 
Appears in Collections:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

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