Can Sentinel data revolutionize CAP processes?

Grega Milcinski

grega.milcinski@sinergise.com

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

6

Sentinel data at your fingertips

7

Why is it difficult to work with?

JP2000

Complex structure (one image per band)

Sentinel Toolbox problems

Storage volume, processing

8

Giselle multi-temporal and multi-spectral archival

9

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

10

WMS

11

Playing with sensor bands

Playing with sensor bands

Vegetation indices

14

Time lapse

Statistical analysis

How can CAP benefit from Sentinel?

Statistics (e.g. land use change)

Claims submission process / LPIS Update

Controls

Helping farmers

17

Claims submission process / LPIS Update

18

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

20

Statistical analysis – separation of crops

21

22

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

24

Vegetation development monitoring

25

Obstacles – resolution

26

Obstacles – resolution

HR, not VHR

Not good enough for digitization of borders

Multi-spectral

Multi- temporal

Statistical observation

27

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?

28

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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