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Contents
Short intro in technology
CAP related use-cases
Possible obstacles on the way
2
About Sinergise
3
About Sinergise
4
Status of satellite imagery
5
GeoEye,WorldView,QuickBird
RapidEye Sentinel-2
Resolution 0.3m-0.6m 5m 10mSensors 4-8bands 4bands 13bands
RevisittimeOnlyfortasked
ordersOnlyfortasked
orders5days
Archivepriceforsingleimagery
75.000-350.00040.000
Free
Taskingpriceforsingleimagery
200.000-500.000
Archivepriceformonthlyimagery(annual)
1MIO-4MIO
0.5MIOTaskingpriceformonthlyimagery(annual)
2.5MIO-5MIO
Multi-uselicense +45% +50% *Price is calculated on “average country” level – 50.000 sq.km
Images
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Sentinel data at your fingertips
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Why is it difficult to work with?
JP2000
Complex structure (one image per band)
Sentinel Toolbox problems
Storage volume, processing
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Giselle multi-temporal and multi-spectral archival
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Re
co
m
m
en
da
tio
ns
Automatic
corrections
Storage
User interface,
configuration
Direct use
through
Geopedia
Integration in
apps through
web-services
Sentinel on Geopedia
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WMS
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Playing with sensor bands
Playing with sensor bands
Vegetation indices
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Time lapse
Statistical analysis
How can CAP benefit from Sentinel?
Statistics (e.g. land use change)
Claims submission process / LPIS Update
Controls
Helping farmers
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Claims submission process / LPIS Update
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Claims submission process/ LPIS Update
Show recent image
• helps with delineation of farmer blocks
Show last year’s activity
• was there some farming activity?
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Controls
CWRS – photo-interpretation phase
• additional information provide deeper insight
OTS - preparation prior to control
OTS – post-mortem of the control
Risk analysis based on continuous monitoring
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Statistical analysis – separation of crops
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Selection of zones
Satellite imagery acqusition Selection
Manual photo-interpretation
Rapid field-visit Follow-up
CWRS as it is today CWRS of the future
Ongoing ingestion of EO
data
Automatic identification of
problems
Manual post-selection
Manual photo-interpretation
Rapid field-visit Follow-up
Selection of zones
Satellite imagery acquisition
Selection
Manual photo-interpretation
Rapid field-visit
Follow-up
Ongoing ingestion of EO data
Automatic identification of
problems
Manual post-selection
Manual photo-interpretation
Rapid field-visit
Follow-up
Controls
Whole country’s area is checked
OTS/CWRS only focuses to identified
problematic parcels
• + small random sample
Most of the work is automated
Farmers know they are being watched
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Helping farmers...
Weekly monitoring of vegetation state, early alert
system
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Vegetation development monitoring
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Obstacles – resolution
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Obstacles – resolution
HR, not VHR
Not good enough for digitization of borders
Multi-spectral
Multi- temporal
Statistical observation
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Obstacles – accuracy, color correction
Spatial accuracy – 10m
• good enough for statistical analysis
• can be further improved with GCPs and better DEM
Level 1C – top of the atmosphere reflection
• Post-processing – atmospheric correction
• In the future done by ESA?
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Obstacles - clouds
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Obstacle – legislation/usual way of business
Too good risk analysis?
Additional source of information – additional
work?
Should we use 25cm ortho if 1m is allowed?
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More info
https://www.youtube.com/watch?v=tJiSg6ysCXo
http://sinergise.com/sentinel
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