Combined use of Remote Sensing data and Geographic Information System techniques for detecting underground structures for defense and security applications in Cyprus

摘要

The purpose of this paper is to present the combined use of Remote Sensing (RS) data and Geographic InformationSystem (GIS) techniques for detection of military underground structures in Cyprus. The combination of RS data andGIS tools for detecting these types of structures entails some benefits, such as accessibility, accuracy, easy collection ofdata, rapid production of maps and better decision-making. In this study, Sentinel-2A satellite images have been used inorder to detect underground structures. Atmospheric correction was performed using the Sen2cor plugin in SentinelApplication Platform (SNAP). In addition, maps of vegetation indices throughout the plants’ phenological developmentcycle were generated in ArcGIS, for: NDVI (Normalized Difference Vegetation Index), SR (Simple Ratio), DVI(Difference Vegetation Index), GEMI (Global Environment Monitoring Index), RDVI (Renormalized DifferenceVegetation Index) and EVI (Enhanced Vegetation Index). The measurements were taken at two test sites: Area (a)comprises a vegetated area covered with barley, in the presence of an underground military structure, and Area (b) avegetated area covered with barley, in the absence of an underground military structure.