Paper
16 October 2013 Variations of spectral signature profiles of wet and dry targets for supporting the detection of water-leakages using satellite data
Athos Agapiou, Kyriacos Themistocleous, Dimitrios D. Alexakis, Nikolas Kourtis, Apostolos Sarris, Skevi Perdikou, Chris R. I. Clayton, Helena Phinikaridou, Andreas Manoli, Diofantos G. Hadjimitsis
Author Affiliations +
Abstract
Satellite data can be used as a valuable tool for the detection of water pipeline leakages in semiarid areas. However the use of multi-temporal satellite images for this purpose can be problematic since reflectance values may change due to phenological changes of plants, radiometric errors during the pre-processing of satellite data, etc. It is therefore important to establish a spectral signature library with “ground truth data” for different scenarios of water leakages in a control site minimizing other potential errors. For this purpose, the GER 1500 spectroradiometer was used for measuring the reflectance values of three different targets: soil, vegetation and asphalt. The targets were saturated with a specific amount of water and then several spectroradiometric measurements were taken. The narrowband reflectance values were then re-scaled to spectral bands of Landsat 5 TM and spectral signature variations were highlighted for all targets before and after moisture level were increased. Using these data, threshold values were defined in order to be used for multispectral satellite data analysis. Specifically, this data was used for detection of water leakages in pipelines in Cyprus using Landsat 5 TM images,.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Athos Agapiou, Kyriacos Themistocleous, Dimitrios D. Alexakis, Nikolas Kourtis, Apostolos Sarris, Skevi Perdikou, Chris R. I. Clayton, Helena Phinikaridou, Andreas Manoli, and Diofantos G. Hadjimitsis "Variations of spectral signature profiles of wet and dry targets for supporting the detection of water-leakages using satellite data", Proc. SPIE 8887, Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, 88871L (16 October 2013); https://doi.org/10.1117/12.2029289
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Vegetation

Reflectivity

Satellites

Earth observing sensors

Satellite imaging

Remote sensing

Landsat

Back to Top