21 October 2016 Importance of using field spectroscopy to support the satellite remote sensing for underground structures intended for security reasons in the eastern Mediterranean region
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Abstract
Underground structures can affect their surrounding landscapes in different ways such as soil moisture content, soil composition and vegetation vigor. Vegetation vigor is often observed on the ground as a crop mark; a phenomenon which can be used as a proxy to denote the presence of underground and not visible structures. This paper presents the results obtained from field spectroradiometric campaigns at ‘buried’ underground structures in Cyprus. A SVC-HR1024 field spectroradiometer was used and in-band reflectances were calculated for the Landsat 5 TM medium spatial resolution satellite sensor. A number of vegetation indices such as NDVI, SR and EVI were obtained while a ‘smart index’ was developed aiming for detection of underground military structures by using existing vegetation indices or other in-band algorithms. In this study, test areas were identified, analyzed and modeled. The areas have been analyzed and tested in different scenarios, including: (a) the ‘natural state’ of the underground structure (b) the different type of crop over the underground structure and imported soil (c) the different types of non-natural material over the underground structure. A reference target in the nearby area was selected as a baseline. Controllable meteorological and environmental parameters were acquired and monitored.
Conference Presentation
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George Melillos, George Melillos, Kyriacos Themistocleous, Kyriacos Themistocleous, George Papadavid, George Papadavid, Athos Agapiou, Athos Agapiou, Maria Prodromou, Maria Prodromou, Silas Michaelides, Silas Michaelides, Diofantos G. Hadjimitsis, Diofantos G. Hadjimitsis, } "Importance of using field spectroscopy to support the satellite remote sensing for underground structures intended for security reasons in the eastern Mediterranean region", Proc. SPIE 9988, Electro-Optical Remote Sensing X, 99880S (21 October 2016); doi: 10.1117/12.2240714; https://doi.org/10.1117/12.2240714
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