Detecting underground structures in vegetation indices: MSR, RDVI, OSAVI, IRG, time series using histograms

George Melillos; Kyriacos Themistocleous; Diofantos G. Hadjimitsis

doi:10.1117/12.2569930

26 August 2020 Detecting underground structures in vegetation indices: MSR, RDVI, OSAVI, IRG, time series using histograms

George Melillos, Kyriacos Themistocleous, Diofantos G. Hadjimitsis

Author Affiliations +

Proceedings Volume 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020); 115241P (2020) https://doi.org/10.1117/12.2569930
Event: Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 2020, Paphos, Cyprus

Abstract

This paper focuses results obtained from a field spectroscopy campaigns for detecting underground structures. A number of vegetation indices such as the Modified Simple Ratio (MSR), Renormalized Difference Vegetation Index (RDVI), Optimized Soil Adjusted Vegetation Index (OSAVI) and Red Green Ratio Index (IRG) were utilized for the development of a vegetation index-based procedure aiming at the detection of underground military structures by using existing vegetation indices. The measurements were taken at the following test areas such as: Area (a) vegetation area covered with the vegetation (barley), in the presence of an underground military structure and Area (b) vegetation area covered with the vegetation (barley), in the absence of an underground military structure. For this purpose was using histograms to obtain useful information about Vegetation Indices spectral behaviors and to compare the two testing areas.

Citation Download Citation

George Melillos, Kyriacos Themistocleous, and Diofantos G. Hadjimitsis "Detecting underground structures in vegetation indices: MSR, RDVI, OSAVI, IRG, time series using histograms", Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 115241P (26 August 2020); https://doi.org/10.1117/12.2569930

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KEYWORDS

Vegetation

Reflectivity

Near infrared

Remote sensing

Earth observing sensors

Landsat

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