Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation Analysis
<i>Xylella fastidiosa</i> is a phytobacterium able to provoke severe diseases in many species. When it infects olive trees, it induces the olive quick decline syndrome that leads the tree to a rapid desiccation and then to the death. This phytobacterium has been recently detected in oliv...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Fractal and Fractional |
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| Online Access: | https://www.mdpi.com/2504-3110/7/6/466 |
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| author | Luciano Telesca Nicodemo Abate Farid Faridani Michele Lovallo Rosa Lasaponara |
| author_facet | Luciano Telesca Nicodemo Abate Farid Faridani Michele Lovallo Rosa Lasaponara |
| author_sort | Luciano Telesca |
| collection | DOAJ |
| description | <i>Xylella fastidiosa</i> is a phytobacterium able to provoke severe diseases in many species. When it infects olive trees, it induces the olive quick decline syndrome that leads the tree to a rapid desiccation and then to the death. This phytobacterium has been recently detected in olive groves in southern Italy, representing an important threat to the olive growing of the area. In this paper, in order to identify patterns revealing the presence of <i>Xylella fastidiosa</i>, several hundreds pixels of MODIS satellite evapostranspiration covering infected and healthy olive groves in southern Italy were analyzed by means of the Fisher–Shannon method and the multifractal detrended fluctuation analysis. The analysis of the receiver operating characteric curve indicates that the two informational quantities (the Fisher information measure and the Shannon entropy) and the three multifractal parameters (the range of generalized Hurst exponents and the width and the maximum of the multifractal spectrum) are well suited to discriminate between infected and healthy sites, although the maximum of the multifractal spectrum performs better than the others. These results could suggest the use of both the methods as an operational tool for early detection of plant diseases. |
| first_indexed | 2024-03-11T02:26:58Z |
| format | Article |
| id | doaj.art-f76fff074c0e410db4728b6544582818 |
| institution | Directory Open Access Journal |
| issn | 2504-3110 |
| language | English |
| last_indexed | 2024-03-11T02:26:58Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fractal and Fractional |
| spelling | doaj.art-f76fff074c0e410db4728b65445828182023-11-18T10:29:42ZengMDPI AGFractal and Fractional2504-31102023-06-017646610.3390/fractalfract7060466Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation AnalysisLuciano Telesca0Nicodemo Abate1Farid Faridani2Michele Lovallo3Rosa Lasaponara4Institute of Methodologies for Environmental Analysis, National Research Council, 85050 Tito, ItalyInstitute of Heritage Science, National Research Council, 85050 Tito, ItalyDepartment of Agriculture, University of Naples Federico II, Royal Palace of Portici, Via Università, 100, 80055 Portici, ItalyAgenzia Regionale per la Protezione dell’Ambiente della Basilicata, 85100 Potenza, ItalyInstitute of Methodologies for Environmental Analysis, National Research Council, 85050 Tito, Italy<i>Xylella fastidiosa</i> is a phytobacterium able to provoke severe diseases in many species. When it infects olive trees, it induces the olive quick decline syndrome that leads the tree to a rapid desiccation and then to the death. This phytobacterium has been recently detected in olive groves in southern Italy, representing an important threat to the olive growing of the area. In this paper, in order to identify patterns revealing the presence of <i>Xylella fastidiosa</i>, several hundreds pixels of MODIS satellite evapostranspiration covering infected and healthy olive groves in southern Italy were analyzed by means of the Fisher–Shannon method and the multifractal detrended fluctuation analysis. The analysis of the receiver operating characteric curve indicates that the two informational quantities (the Fisher information measure and the Shannon entropy) and the three multifractal parameters (the range of generalized Hurst exponents and the width and the maximum of the multifractal spectrum) are well suited to discriminate between infected and healthy sites, although the maximum of the multifractal spectrum performs better than the others. These results could suggest the use of both the methods as an operational tool for early detection of plant diseases.https://www.mdpi.com/2504-3110/7/6/466multifractal detrended fluctuation analysisFisher–Shannonvegetation |
| spellingShingle | Luciano Telesca Nicodemo Abate Farid Faridani Michele Lovallo Rosa Lasaponara Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation Analysis Fractal and Fractional multifractal detrended fluctuation analysis Fisher–Shannon vegetation |
| title | Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation Analysis |
| title_full | Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation Analysis |
| title_fullStr | Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation Analysis |
| title_full_unstemmed | Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation Analysis |
| title_short | Discerning <i>Xylella fastidiosa</i>-Infected Olive Orchards in the Time Series of MODIS Terra Satellite Evapotranspiration Data by Using the Fisher–Shannon Analysis and the Multifractal Detrended Fluctuation Analysis |
| title_sort | discerning i xylella fastidiosa i infected olive orchards in the time series of modis terra satellite evapotranspiration data by using the fisher shannon analysis and the multifractal detrended fluctuation analysis |
| topic | multifractal detrended fluctuation analysis Fisher–Shannon vegetation |
| url | https://www.mdpi.com/2504-3110/7/6/466 |
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