Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> Epidemic
The technological advances of remote sensing (RS) have allowed its use in a number of fields of application including plant disease depiction. In this study, an RS approach based on an 18-year (i.e., 2001–2018) time-series analysis of Normalized Difference Vegetation Index (NDVI) data, derived from...
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MDPI AG
2020-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/12/1965 |
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| author | Daniela Vanella Simona Consoli Juan Miguel Ramírez-Cuesta Matilde Tessitori |
| author_facet | Daniela Vanella Simona Consoli Juan Miguel Ramírez-Cuesta Matilde Tessitori |
| author_sort | Daniela Vanella |
| collection | DOAJ |
| description | The technological advances of remote sensing (RS) have allowed its use in a number of fields of application including plant disease depiction. In this study, an RS approach based on an 18-year (i.e., 2001–2018) time-series analysis of Normalized Difference Vegetation Index (NDVI) data, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and processed with TIMESAT free software, was applied in Sicily (insular Italy). The RS approach was carried out in four orchards infected by <i>Citrus tristeza virus</i> (CTV) at different temporal stages and characterized by heterogeneous conditions (e.g., elevation, location, plant age). The temporal analysis allowed the identification of specific metrics of the NDVI time-series at the selected sites during the study period. The most reliable parameter which was able to identify the temporal evolution of CTV syndrome and the impact of operational management practices was the “Base value” (i.e., average NDVI during the growing seasons, which reached R<sup>2</sup> values up to 0.88), showing good relationships with “Peak value”, “Small integrated value” and “Amplitude”, with R<sup>2</sup> values of 0.63, 0.70 and 0.75, respectively. The approach herein developed is valid to be transferred to regional agencies involved in and/or in charge of the management of plant diseases, especially if it is integrated with ground-based early detection methods or high-resolution RS approaches, in the case of quarantine plant pathogens requiring control measures at large-scale level. |
| first_indexed | 2024-03-10T19:03:08Z |
| format | Article |
| id | doaj.art-55608485f2e8459b8de6e5aaabc0ff1a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T19:03:08Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-55608485f2e8459b8de6e5aaabc0ff1a2023-11-20T04:15:48ZengMDPI AGRemote Sensing2072-42922020-06-011212196510.3390/rs12121965Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> EpidemicDaniela Vanella0Simona Consoli1Juan Miguel Ramírez-Cuesta2Matilde Tessitori3Department of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 100, 95123 Catania, ItalyDepartment of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 100, 95123 Catania, ItalyCentre for Soil Science and Applied Biology of the Segura (CEBAS), Spanish National Research Council (CSIC), Espinardo, 30100 Murcia, SpainDepartment of Agriculture, Food and Environment (Di3A), University of Catania, Via S. Sofia 100, 95123 Catania, ItalyThe technological advances of remote sensing (RS) have allowed its use in a number of fields of application including plant disease depiction. In this study, an RS approach based on an 18-year (i.e., 2001–2018) time-series analysis of Normalized Difference Vegetation Index (NDVI) data, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and processed with TIMESAT free software, was applied in Sicily (insular Italy). The RS approach was carried out in four orchards infected by <i>Citrus tristeza virus</i> (CTV) at different temporal stages and characterized by heterogeneous conditions (e.g., elevation, location, plant age). The temporal analysis allowed the identification of specific metrics of the NDVI time-series at the selected sites during the study period. The most reliable parameter which was able to identify the temporal evolution of CTV syndrome and the impact of operational management practices was the “Base value” (i.e., average NDVI during the growing seasons, which reached R<sup>2</sup> values up to 0.88), showing good relationships with “Peak value”, “Small integrated value” and “Amplitude”, with R<sup>2</sup> values of 0.63, 0.70 and 0.75, respectively. The approach herein developed is valid to be transferred to regional agencies involved in and/or in charge of the management of plant diseases, especially if it is integrated with ground-based early detection methods or high-resolution RS approaches, in the case of quarantine plant pathogens requiring control measures at large-scale level.https://www.mdpi.com/2072-4292/12/12/1965vegetation indicesCTVtime-seriesMODISTIMESAT |
| spellingShingle | Daniela Vanella Simona Consoli Juan Miguel Ramírez-Cuesta Matilde Tessitori Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> Epidemic Remote Sensing vegetation indices CTV time-series MODIS TIMESAT |
| title | Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> Epidemic |
| title_full | Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> Epidemic |
| title_fullStr | Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> Epidemic |
| title_full_unstemmed | Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> Epidemic |
| title_short | Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the <i>Citrus Tristeza Virus</i> Epidemic |
| title_sort | suitability of the modis ndvi time series for a posteriori evaluation of the i citrus tristeza virus i epidemic |
| topic | vegetation indices CTV time-series MODIS TIMESAT |
| url | https://www.mdpi.com/2072-4292/12/12/1965 |
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