Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13498
Title: | Detecting underground structures in Cyprus 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: | Military Underground Structures;Spectroscopy;Vegetation Indices | Issue Date: | Mar-2018 | Source: | 6th International Conference on Remote Sensing and Geoinformation of the Environment, 2018, 26-29 March, Paphos, Cyprus | Conference: | 6th International Conference on Remote Sensing and Geoinformation of the Environment | Abstract: | Satellite remote sensing is considered as an increasingly important technology for detect underground structures. It can be applied to a wide range of applications as shown from 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. This paper presents the results obtained from field spectroradiometric campaigns at âburied' underground structures in Cyprus. A SVC-HR1024 field spectroradiometer was used and in-band reflectances were determined for medium and high resolution satellite sensors, including Landsat. A number of vegetation indices such as the Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR) and Enhanced Vegetation Index (EVI) were utilized for the development of a vegetation index-based procedure aiming at the 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 under different scenarios, including: (a) the âñatural 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. | URI: | https://hdl.handle.net/20.500.14279/13498 | DOI: | 10.1117/12.2324270 | Rights: | © 2018 SPIE. | Type: | Conference Papers | Affiliation : | Cyprus University of Technology | Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
SCOPUSTM
Citations
50
6
checked on Nov 6, 2023
Page view(s) 50
382
Last Week
0
0
Last month
1
1
checked on Nov 21, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.