very high resolution raster digital data: d atasets for the common agricultural policy
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Very High Resolution Raster Digital Data: D atasets for the Common Agricultural Policy. Simon Kay MARS Unit Institute for Protection and Security of the Citizen DG JRC, European Commission. Raster data for agriculture. - PowerPoint PPT PresentationTRANSCRIPT
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Very High Resolution Raster Digital Data:
Datasets for the Common Agricultural Policy
Simon Kay
MARS UnitInstitute for Protection and Security of the Citizen
DG JRC, European Commission
2/11
Raster data for agriculture The Common Agricultural Policy manages the payment of subsidies to farmers for the cultivation of land. In return for payment, farmers must identify their fields in national GIS databases.
By 31st Dec 2004, 25 countries will have implemented this approach, and nearly all (23) will use image data as a primary data sources.
These raster datasets are both: • an important source for many grid based surveys, • as well as an important consideration in the technical realignment of raster/gridded data with new, pan-European specifications
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Outline
• Land Parcel Identification in the CAP– What is an LPIS, how is it used
• Image/raster data requirements– LPIS creation, maintenance
• Some conclusions
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LPIS in the CAP: Olive trees
• Regulations: Regs. 154/75, 2276/79• Requirement: GIS and orthophotos introduced
in 1998 (Reg. 2366/98)– Register declared Olive Tree Parcels and Olive Trees – Compute parcel area, check tree numbers in parcel– Control claims for subsidies and eligibility
• Member States: 5 (PT, ES, FR, IT, GR) – 4 candidate Countries: M, SI, CY, TY.
• Volumes (EU 15): 2.5 M Farmers, 760 M Olive trees
• Total Subsidies (EU 15) : € 2.6 billion / year
5/11
Integrated Administration and Control System (IACS)• Regulations: Reg. 3508/92, 2419/01
– Reg. 1593/00
• Requirements: Register all Agricultural parcels– Control claim for subsidies and eligibility.– 100 % Admin. cross-checks + On the Spot checks (5%)– Compulsory GIS (for 2005 – reg. 1593/00)
• Member States: 15 (+ 13 candidate Countries)• Volumes (EU 15):
– 3.2 M Farmers– 50 M Agricultural parcels
• x2.5 after accession of Cand. Countries
• Total Subsidies EU 15 : ~ € 20 billion / year
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A database of 1.7m land
parcels
Database(Storage)
The database needs to be
built.
The data from each farm is captured
Land Register
By using the existing IACS data, OS
MasterMap data and ortho-photography
The data is being digitised through the digitisation
contract
The toolkit needs to be
built
The ‘toolkit’ will allow land parcels to be
validated & updated• Digitisation began in Feb 02
• A prototype for the basic storage and maintenance of digitised maps was built by July 02
• The limited capability version of the RLR will be functional by Dec 02
• The full RLR with all its data will be available by Jan 04
RLR
LPIS example: the Rural Land register, England
Slide courtesy of DEFRA
8/11
LPIS – Czech Republic• Multipurpose
mapping for agricultural areas: orthophoto + GIS
• Slide courtesy of P Trojacek, EKOTOXA
9/11
LPIS/orthoimage raster dataset requirements• Regulatory requirement:
– For geographic data, 1:10,000 map specification (RMSE <2.5m)
– No orthoimage requirement (advisory)• 1m pixel, panchromatic minimum specification• Orthoimage => DEM must become available
– System must be kept current: annual parcel updates, implies LPIS updates every 3 to 5 years
– National geodetic system (under consideration)
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Orthoimage use in IACS
• In practice– 23 of 25 MS/CCs will use wall to wall
orthoimagery by end 2004• Remaining two (MS) use orthoimages for
verification
– Specification: • Colour, 50cm pixel frequent• DEM <5m RMSEZ
• Regular 5 year updates usually announced; in some cases 3 year updates
• Sharing of dataset cost
13/11
Summary, conclusions
• The CAP is a current major user and producer of raster datasets that can interact with grids
• Some data are continuous (DEMs, Imagery), some discontinuous (crop data)– Strong integration with GIS– The use is multipurpose, across a range of applications
• Requirements are clearly defined– To some extent embodied in regulatory requirements
• Future grid sampling systems could (should) address – The relevance of these datasets– Technical considerations related to their use