Evaluating ten spectral vegetation indices for the identification of military underground structures

George Melillos; Kyriacos Themistocleous; Athos Agapiou; Diofantos G. Hadjimitsis

doi:10.1117/12.2532788

27 June 2019 Evaluating ten spectral vegetation indices for the identification of military underground structures

George Melillos, Kyriacos Themistocleous, Athos Agapiou, Diofantos G. Hadjimitsis

Proceedings Volume 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019); 111741L (2019) https://doi.org/10.1117/12.2532788
Event: Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 2019, Paphos, Cyprus

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.

Citation Download Citation

George Melillos, Kyriacos Themistocleous, Athos Agapiou, and Diofantos G. Hadjimitsis "Evaluating ten spectral vegetation indices for the identification of military underground structures", Proc. SPIE 11174, Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019), 111741L (27 June 2019); https://doi.org/10.1117/12.2532788

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KEYWORDS

Vegetation

Near infrared

Reflectivity

Remote sensing

Earth observing sensors

Landsat

Satellites

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