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Remote sensing of vineyards for symptoms of Flavescence doree infection.

Remote sensing of vineyards for symptoms of Flavescence doree infection.

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  • 1. Remote sensing analysis of high resolution satellite images as a support to targeted monitoring of Grapevine Flavescence dorée phytoplasma Matej Knapič, Agricultural Institute of Slovenia
  • 2. INTRODUCTION - Remote sensing could be used for detection and determination of specific plant species and diseased or stressed plants. - Noninvasive and nondestructive method - Together with GIS tools used for determination of spatial occurrence and quantification of the weakened plants - Spatial analysis: fields, region, country or globally.
  • 3. An example of Cotton root rot- Cotton root rot caused by Phymatotrichopsis omnivora (1927) in APS feature, 2005- soil-borne fungus infects numerous crop plants
  • 4. INTRODUCTION- Remote sensing system exploit measuring and recording of reflected or emitted electromagnetic energy from the objects. 1 2-
  • 5. INTRODUCTION- The most common source of electromagnetic radiation (ER), which is recorded by satellites, is the sun 3- ER interacts with atmosphere and earth surface (vegetation, soils…)- absorption- transmission- reflectionK. Oštir.Daljinskozaznavanje, 2006
  • 6. INTRODUCTIONDetectors – sensors at the satelite record values of individual spectral channel Source: APSnet Feature,K. Steddom et all, 2005
  • 7. Remote sensing in grapevine FD monitoringx An ongoing research project 2011-2012x Remote sensing of vineyards in order to develop support to targeted monitoring of Grapevine Flavescence dorée phytoplasma in Slovenia.x Use of high resolution and multispectral satellite imagesx Basis for broader use in plant pathology
  • 8. Remote sensing of vineyards in foci 1In addition to the research project input was done via official survey programSatellite recording of FD demarcated area in 2 regions was ordered in first half of August and first half of September 2011
  • 9. Satellite recording of FD demarcated areax on the coastal area (Koper-Izola) x part of Dolenjska region (500 km2)
  • 10. Remote sensing of vineyards in foci 2x In the time frame of the satellite recording ground truthing was made.x Images were georeferenced and orthorectificated to obtain spatial accuracy.x First analysis were made for the Izola focusx Central vineyard was mapped for symptoms to the level of individual grapevine plants
  • 11. Remote sensing of vineyards in foci 3
  • 12. Remote sensing of vineyards in foci 4Analysis of high resolution and multispectral satellite imagesIf the difference in spectral signature is significant, a distinction between the objects or even inside the objects from the satellite image can be made.We try to use this fact to implement remote sensing to the target monitoring of Grapevine FD symptoms in plants.
  • 13. Remote sensing of vineyards in foci 5 NDVI=IR- R/IR+R
  • 14. Remote sensing of vineyards in foci 6 WBI=NIR1/NIR2
  • 15. Remote sensing of vineyards in foci 7 Rededge kanal = 725 nm
  • 16. Remote sensing of vineyards in foci 8In the first phase of the image analyzes we are searching for the suitable:x classification andx algorithm which would enable distinctionx between healthy and diseased plantsx and determination of FD infested plants location.
  • 17. Conclusionsx We are not expecting to develop 100% certainty in remote FD determination.x However, results should help to monitor vineyards for FD presence in more targeting way and to locate some possible foci of FD also in isolated and abandoned locations
  • 18. AcknowledgmentMany thanks for good cooperation to:The project team:- National Institute of Biology- Agricultural InstituteThe survey team, especially phytosanitary inspectors from Koper and colleagues from plant protection service KGZ Novo mestoMinistry of Agriculture and EnvironmentPhytosanitary Administration of R Slovenia