Summary
CwRs
CwRs process
Historical control
GIS/Remote Sensing

GIS and Remote Sensing

    A comprehensive project includes :
  • Design of integrated data model
  • Raster and vector representations of remote sensing data into GIS
  • Automatic or manual digital terrain modeling:
  • - 3D visualization of regular and triangular grids
    - Calculation of slope and aspect maps
  • Spatial database management
  • Digital image processing:
  • - Contrast enhancement
    - Spatial filtering
    - Radiometric and geometric corrections
    - Image statistics
    - Maximum-likelihood and region classifiers
  • Vector digitization and creation of topological information
  • Spatial analysis and database query/manipulation
  • Map publishing and plotting.

CwRs

The Contol with Remote sensing (CwRs)

CwRs has been carried out in all E.U. countries since 1993. It was designed to identify fraudulent or irregular subsidy claims. The CwRs program was launched by the EU in collaboration with each member state of the European Union.
Agricultural monitoring is a key part of the IACS, which is at the core of The EU’s CAP implementation in Europe. GeoRas has implemented and executed CwRs projects in The Netherlands, Greece and Sweden.

The identification process is carried out simultaneously on multiple sites by using LPIS data. On each site, tens of thousands of cultivated plots are processed and analyzed using several VHR, HR satellite images, digital aerial photographs and the GIS data of the farmers.
Since 1994, all aspects of the EU control like software methodology and development, GIS setup, digitization, analysis, fieldwork and reporting have been built and implemented entirely by GeoRas.

CwRs process

CwRs process

  • Selection of control sites by government authority
  • Project management
  • Creation of GIS environment of the control sites
  • Extraction of LPIS data of each site
  • Image acquisition of the sites (VHR,HR or aerial photography)
  • Ortho rectification of the images
  • Bulk of farmer application supply (digitally of analouge)
  • Digitization of thousands declared parcels
  • Fieldwork & classification of control sites
  • Diagnosis of the declared farmer applications
  • Delivery of the weekly reports of non-conform applications
  • Delivery of the Interim, progress and final reports
  • Quality control by the EU's JRC/Audit center

Refrence year control

Reference year control

Each member state of the European Union must control the eligibility for agricultural subsidies. Parcels which are under permanent pasture, have permanent crops, forests or land for non-agricultural use are not eligible for subsidies during the reference years.
This control is to efficiently identify ineligible parcels or doubtful cases where additional evidence requested from farmers would lead to unwanted administrative work.
By using existing LPIS vector polygons of parcels and two yearly sets of Landsat imagery of the Netherlands, we could determine the eligibility of parcels with regard to the reference year period, with the following process:

  • Controlling of 450,000 LPIS vector polygons
  • Satellite traingulation of the images
  • Collection of supervised training classification samples of 4 groups:
  • - Water
    - Urban area
    - Permanent pasture
    - Permanent crops and others
  • Apply the training set and single feature probability to identify parcels which are eligible for subsidies
  • Automatically link the acquired statistical information to the vector polygon LPIS database for efficient follow-up by the administration