Remote sensing of vineyards for symptoms of Flavescence doree infection.

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
- reflection
K. Oštir.
Daljinsko
zaznavanje, 2006

6. INTRODUCTION
Detectors – sensors at the satelite record
values of individual spectral channel
Source: APSnet
Feature,K. Steddom et
all, 2005

7. Remote sensing in grapevine FD
monitoring
x An ongoing research project 2011-2012
x 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 images
x Basis for broader use in plant pathology

8. Remote sensing of vineyards in foci 1
In addition to the research project input was
done via official survey program
Satellite 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 area
x on the coastal area (Koper-Izola)
x part of Dolenjska region (500 km2)

10. Remote sensing of vineyards in foci 2
x 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 focus
x 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 4
Analysis of high resolution and multispectral
satellite images
If 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 8
In the first phase of the image analyzes
we are searching for the suitable:
x classification and
x algorithm which would enable
distinction
x between healthy and diseased plants
x and determination of FD infested plants
location.

17. Conclusions
x 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. Acknowledgment
Many thanks for good cooperation to:
The project team:
- National Institute of Biology
- Agricultural Institute
The survey team, especially phytosanitary
inspectors from Koper and colleagues from
plant protection service KGZ Novo mesto
Ministry of Agriculture and Environment
Phytosanitary Administration of R Slovenia