SLIDE 1 April 2010
Keeping the LPIS updated as part of the standard IACS administrative processes
Veliko Tarnovo 8th ‐ 9th of April 2010 Speaker: Fabio Slaviero, Abaco Twinning number BG 2007/IB/AG/09 – TL “BUILDING OF ANALYTIC AL CAPACITY FOR THE SUCCESS FULL IMPLEMENTATION OF THE SINGLE PAYMENT SCHEMES AFTER 2013 ‐ ”Italy and Bulgaria”
SLIDE 2
Where is the LPIS in the IACS architecture?
SLIDE 3
Where is the LPIS in the IACS architecture?
SLIDE 4 What is the LPIS intended for?
- The main geo‐database of the IACS storing
Reference Parcels (RP)
- The basis for Maximum Eligible Area
- A reference to check compliance of
declarations
- A repository for Anomalies.
SLIDE 5
LPIS and IACS processes
Beneficiaries Updates Receiving Applications On‐The‐Spot Controls Quality assessment
SLIDE 6 LPIS update triggers
- information exchange with farmers (sketch, on‐line, annual crop plans,
applications)
- notifications by back‐office users (spot inconsistencies, ambiguous cases)
- systematic analysis of the new orthophotos and VHR satellite data (a.k.a.
“refresh”)
- review of the results from the OTSC/administrative control (inspectors
feedback)
- following assessment of the currency of the LPIS, risk analysis, Quality
Control (samples, statistical)
- systematic analysis of external sources like cadastral maps, land
redistribution plans, topomaps (cross‐check against validated datasets)
SLIDE 7
LPIS lifecycle
Source:
SLIDE 8 LPIS update MUST
- A strategy MUST be defined for the procedures to be
used for updating the LPIS
- Updates MUST be done within the overall IACS
processes and not as a stand‐alone activity
- A plan for proper tools MUST support the above
mentioned activities
- Real Integration (the “I” in IACS) becomes a MUST
SLIDE 9 LPIS Rationale
- Failing LPIS
- “poor” unambiguous localisation
- risks for double declaration of land
- ineffective inspections
- inadequate quantification of eligible area
- ineffective crosschecks for identifying over‐declarations by farmers
financial risks for EU funds likelihood for EU sanctions
- Well functioning LPIS
- none of the above shortcomings
- greatly facilitate operations by farmers, inspectors and paying agency
resulting in a better performance, a higher efficiency
- a reduction of inspections (for both eligibility and cross‐compliance)
lower IACS operating costs substantially reduced risks for the EU Funds and EU sanctions
SLIDE 10 LPIS Quality Assurance and Quality Control
- QA: to build quality into the system on a
continuous basis (philosophy, proactive)
- QC: to recurrently check for quality (audits,
reactive)
SLIDE 11
How are we going to do it?
SLIDE 12 LPIS in Action
- Many “actors/roles": front‐office, back‐office,
FAS, inspectors, external contractors, etc.
- Many information sources/destinations:
external systems, mobile devices, etc.
- Need for a “collaborative environment” to
keep everything under control
SLIDE 13
Farmer: sketch & reports on‐line
SLIDE 14
Farmer: guided crop plan
SLIDE 15
Farmer: annual application cross‐checks
SLIDE 16 OTSC ‐ CwRS: ineligible features, controls
OTSC: Remote sensing Additional layers (streets, water and buildings) Additional layers (example: DEM)
SLIDE 17
OTSC ‐ On‐the‐field: inspectors feedbacks
SLIDE 18
Refresh: Land Cover
SLIDE 19
Quality Control
Intersecting Automaded image processing Automated classification
SLIDE 20
Anomalies processing: database and Job lists
SLIDE 21
Anomalies: integrated with IACS
SLIDE 22 Extended LPIS: several RP types and views
Agricultural parcels outlook Ilots outlook Block textual info 3D model
SLIDE 23
Extended LPIS: 3D
SLIDE 24 Extended LPIS: 3D controls
Most certainly arable Hardly to be arable Unlikely to be arable Slope 0 to 15% 15 to 35% > 35% Altitude 0 to 700 mt 700‐1300 mt > 1300 mt
