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Very High Resolution Raster Digital Data: D atasets for the Common Agricultural Policy

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.

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Very High Resolution Raster Digital Data: D atasets for the Common Agricultural Policy

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  1. Very High Resolution Raster Digital Data:Datasets for the Common Agricultural Policy Simon Kay MARS Unit Institute for Protection and Security of the Citizen DG JRC, European Commission

  2. 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

  3. Outline • Land Parcel Identification in the CAP • What is an LPIS, how is it used • Image/raster data requirements • LPIS creation, maintenance • Some conclusions

  4. 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. 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

  6. The database needs to be built. The toolkit needs to be built The data from each farm is captured RLR A database of 1.7m land parcels Database (Storage) The ‘toolkit’ will allow land parcels to be validated & updated By using the existing IACS data, OS MasterMap data and ortho-photography Land Register • 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 The data is being digitised through the digitisation contract LPIS example: the Rural Land register, England Slide courtesy of DEFRA

  7. LPIS – Czech Republic • Multipurpose mapping for agricultural areas: orthophoto + GIS • Slide courtesy of P Trojacek, EKOTOXA

  8. 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)

  9. 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

  10. 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

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