Home // IARIA Congress 2024, The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article
Authors:
Luciano Telesca
Rosa Lasaponara
Keywords: Visibility graph; network analysis; MODIS; evapotranspiration; Xylella Fastidiosa.
Abstract:
The Visibility Graph (VG) has emerged as a widely used statistical method for characterizing the dynamical properties of time series. This method transforms time series into networks, wherein nodes represent the series values connected by their reciprocal ”visibility.” Recently, the VG has found applications in the statistical investigation of time series across various research fi elds. In this study, we leverage the VG to analyze the topological properties of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite evapotranspiration time series in areas covered by olive groves in southern Italy, aiming to detect the presence of Xylella Fastidiosa—a highly destructive phytobacterium known for inducing olive quick decline syndrome in olive trees. Our fi ndings suggest that employing the VG enables a very efficient discrimination between infected and healthy sites. This suggests the potential utility of this network analysis method as an operational tool for early diagnosis of plant deterioration caused by Xylella fastidiosa.
Pages: 31 to 37
Copyright: Copyright (c) IARIA, 2024
Publication date: June 30, 2024
Published in: conference
ISBN: 978-1-68558-180-0
Location: Porto, Portugal
Dates: from June 30, 2024 to July 4, 2024