IACS data sharing

ESS workshop17-18 October 2019

Bucharest (RO)

European CommissionDG AGRI

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Outline

• CAP and IACS of the future

• Rationale for IACS data sharing

• Process for IACS data sharing established by DG AGRI

• Deliverables (documents and MS support)

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CAP and IACS of the future

Rationale for IACS data sharing

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A new multiannual financial framework (Brexit, cuts to the CAP budget) : reduction of budget … but more flexibilities (transfer between EAGF and EAFRD)!

CAP post-2020

Why a new CAP?

Need to simplify and modernise the CAP

New challenges to be addressed :• Economic health of the farm sector• Environment issues• Climate change and adaptation actions• Economic & social situation in the rural development

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1. CAP Strategic Plan Regulationhttps://ec.europa.eu/commission/sites/beta-political/files/budget-may2018-cap-strategic-plans_en.pdf

https://ec.europa.eu/commission/sites/beta-political/files/budget-may2018-cap-strategic-plans-annex_en.pdf

CAP post-2020

New regulations (proposal)

2. CAP Horizontal Regulationhttp://ec.europa.eu/transparency/regdoc/rep/1/2018/EN/COM-2018-393-F1-EN-MAIN-PART-1.PDF

3. CAP Amending Regulationhttps://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52018PC0394&from=EN

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Simplification IACS/LPIS data sharing

full integration of new technologies and digital tools

better policy monitoring and efficiency in controls

area monitoring system, geo-spatial application…

for environmental-climate purposes in accordance with INSPIRE

for statistical purposes

MS are free to:

- design control and penalties system (including control rates and level of penalties)

- define rules on calculation of payments

- define (or not) rules on deadlines for submission of applications, amendments, penalties for late applications etc.

IACS post-2020

Modernisation

CAP post-2020

Integrated Administration Control System?

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GSA

LPIS

System for identification

of beneficiaries

Controls &

Penalties

I&R of Payment

Entitlements

I&R of animals

IACS post-2020

AMS

QA

QA

QA

Scope : no change area- and animal-based

interventions

[Claimless system]

(Art. 63 to 73 of the proposal for a HZR)

CAP post-2020

Integrated Administration Control System?

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Art 64 of HZR

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IACS post-2020

• Elements of integrated system

• LPIS

• GSA and animal-based application system

• Area monitoring system

• System for identification of beneficiaries

• Control and penalties system

• Where applicable, a system for the I&R of payment entitlements

• Where applicable, a system for I&R of animals

Electronic databases and geographic information systems enabling theexchange and integration of data

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Art 65 of HZR

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IACS post-2020

• Data keeping and sharing

• Data keeping

- data and documentation on annual outputs in the context of the annual performance clearance and the reported progress towards targets

- 10 years

- accessible for consultation through digital databases

• Data sharing

- necessary for environment-climate purposes (Directive 2007/2/EC)

- relevant for monitoring Union policies

- necessary for the production of European statistics (Regulation (EC) No 223/2009)…

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Rationale for IACS spatial data sharing

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LPIS data

Reference parcel boundaries

Maximum eligible area

Land Cover Classification (AL, PC, PG)

Stable Ecological Focus Areas (EFA-layer: terraces ,

buffer s trips , agro-forestry, short rotation coppice, ...)

Other landscape elements

RD agri-environment-climate measures

Other area-related information (relevant for el igibi l i ty e.g. Natura 2000, WFD, ANC, …)

Eligibilty profile (as described in LPIS QA)

GSAA data

Agricultural parcels boundaries and areas

Data on individual arable crops (by crop group as

defined by MS or by crop i f this i s relevant at

MS/region level )

Data on individual permanent crops (by crop

group as defined by MS or by crop i f this i s relevant

at MS/region level )

Permanent grassland (geo-loca l ised)

Uses on arable land (for crop divers i fication; >10ha)

Individual Ecological Focus Areas

Area-related rural development commitments

IACS spatial data sharing

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Higher ambition on environment and climate

Agriculture

EnvironmentClimate

Commission services

National administrations

Private companies / individuals

Research institutes

Digital sourcesCollecting data (diverse sources):

• Remote sensing and satellite

• Studies and research projects

• Administrative sources

• Precision farming

• Commercial data

• Statistical surveys

• Mathematical models

• Existing databases

• etc.

Rationale

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Call for collaboration

• Directives and other purpose

• Public Sector Information Directive (PSI Dir. 2013/37/EU Directive on Open Data and

Public Sector Information)

• Statistical purposes (Reg.(EC) No 223/2009 ISF Regulation (EU) 2018/1091)

• Infrastructure for Spatial Information in EC (INSPIRE Dir. 2007/2/EC)

• …

• Policy monitoring (current and future use-cases)

• Agriculture and rural development (CMEF, …)

• Climate (LULUCF, …)

• Environment (Natura2000, …)

• Land Monitoring Services (Copernicus, …)

• Statistics (Farms statistics, LUCAS, …)

• …

• Future CAP based on performance

• Agricultural performance demonstration

• Environmental and climatic performance

• …

Rationale

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Spatial data sharing is a must

• Common interest

• Local public bodies,

• Regional public bodies,

• EU institutions and bodies,…

Commonly agreed process

Legal certainty

Synergies

Sharing good practices

Preparedness for the future

Infrastructure reuse

Where to find data?

Database content?

How to share them?

• Common solutions

• Methodology,

• Infrastructure,…

• Common difficulties

• Data discovery is time- and resource-consuming,

• Fit for purpose of data,

• Practical arrangements,…

Rationale

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Recent commitment from the MS In digital transformation …

(among other):

• Supporting digital solutions & Increasing investment in R&I in digital technologies for smart farming

• Facilitating the cross-border pooling and sharing of agricultural data between farmers and throughout the value chain

• Identifying and opening up high value datasets for agriculture

• Using the European space programmes and the Earth observation programme for agriculture

• Working on digital tools for a simplified and effective implementation of the CAP

• increase CAP administration efficiency, notably in sharing geospatial information among public administrations

• Making use of funding instruments to strengthen the technology infrastructure and facilitate the deployment of digital technologies in agriculture and rural areas

Declaration for A smart and sustainable digital future for agriculture and rural areas

https://ec.europa.eu/digital-single-market/en/news/eu-member-states-join-forces-digitalisation-european-agriculture-and-rural-areas

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IACS spatial data sharing

A process established and conducted by DG AGRI

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• Collaboration amongst MS & EC

• INSPIRE legal and methodological framework

• Stepwise process

• Pilot

Support to MS from AGRI/JRC

Definition of metadata

Effetcive re-use of data (Use cases)

Methodological approach

Process conducted by DG AGRI

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Infrastructure

Source: INSPIRE technical architecture overview

IACS

Process conducted by DG AGRI

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EU INSPIRE Geoportal

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Geoportal

Process conducted by DG AGRI

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Pilot implementation - Introduction

• Objectives

• Test the provisions and provide input for the guidelines on IACS spatial data sharing according to INSPIRE

Metadata: specify an INSPIRE compliant schema with harmonized metadata values for LPIS and GSAA for better visibility in the national/European spatial data infrastructures

Data harmonization: select the appropriate INSPIRE themes for publishing data and specify the necessary transformations to readily use data in various applications

• Use cases and participants

• LPIS and GSAA data discovery in the INSPIRE infrastructure (BG, CZ, DK, SI, ES)

• LULUCF (BG)

• Current status

• Data discovery: metadata xml schemas delivered; validation ongoing

• LULUCF: tasks specified, initial schema mapping started

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• Elaboration and testing of INSPIRE-compliant metadata for the IACS data to be shared

• for discovery

• for evaluation

• for services

• Taking into account existing experience in the field

• LPIS QA

• CORDA

• INSPIRE portal

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Purpose of the metadata pilot

Process conducted by DG AGRI

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Purpose of the data sharing pilot(CZ, DK, ES, BG, SI)

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• Test on the example of use cases where the spatial information in IACS/LPIS of the member states would provide useful input

Crop forecasting

Agricultural statistics (Integrated Farm System, Farm Accountancy Data Network)

Land Use, Land Use Change and Forestry (LULUCF)

• Verify what data transformations are needed

• Quantify the efforts needed for the data transformation

• Provide recommendation how reusing spatial information in IACS/LPIS can be facilitated through simple technical measures (database extensions).

Process conducted by DG AGRI

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LPIS data

Reference parcel boundaries

Maximum eligible area

Land Cover Classification (AL, PC, PG)

Stable Ecological Focus Areas (EFA-layer: terraces ,

buffer s trips , agro-forestry, short rotation coppice, ...)

Other landscape elements

RD agri-environment-climate measures

Other area-related information (relevant for el igibi l i ty e.g. Natura 2000, WFD, ANC, …)

Eligibilty profile (as described in LPIS QA)

GSAA data

Agricultural parcels boundaries and areas

Data on individual arable crops (by crop group as

defined by MS or by crop i f this i s relevant at

MS/region level )

Data on individual permanent crops (by crop

group as defined by MS or by crop i f this i s relevant

at MS/region level )

Permanent grassland (geo-loca l ised)

Uses on arable land (for crop divers i fication; >10ha)

Individual Ecological Focus Areas

Area-related rural development commitments

Thematic scope of the current metadata pilot

In the scope of the current metadata pilot

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LULUCF pilot implementation

• Tasks

• Study, understand and document the LULUCF requirements in terms of land cover/land use, spatial and temporal representations

• Identify the feature types in IACS, mostly in the LPIS and the Application and Payments subsystems that may provide the information needed

• Study the extent of data harmonisation (especially semantics) needed for interoperability between IACS and LULUCF

• Map the information concepts of IACS to LULUCF. Identify the necessary transformations

• Investigate the possibility of using (existing) data transformation services

• Implement the use case with real data

• Register the efforts/investments (in terms of labour, software and any other relevant resources) needed for the implementation

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LULUCF pilot – preliminary results 1

• The LPIS component of IACS provides

• Georeferenced land cover information to be mapped in LULUCF categories of managed cropland and managed grassland

• Area values of these categories

• Fine tuning in term of agricultural practices that might be relevant for land use change (land laying fallow, hectares of agroforestry)

• Fine tuning in terms of grassland pro rata values

• Current and accurate information due to the yearly LPIS QA process

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GML Identification system for agricultur...

«CodeList»

AgriculturalAreaTypeValue

+ arableLand

+ permanentCrop

+ permanentGrassland

+ permanentGrasslandSensitive

+ permanentGrasslandElp

GML Identification system for agricultural parcels

«FeatureType»

AgriculturalArea

«property»

+ metadata :FeatureLevelMetadata

+ agriculturalAreaId :CharacterString

+ agriculturalAreaType :AgriculturalAreaTypeValue

+ agriculturalArea :Area

+ permanentGrasslandProRata :ProRataCategoryValue [0..1]

constraints

{agriculturalAreaTypeEcologicalFocusArea}

{agriculturalAreaUoM}

GML Identification system for agricultural parcels

«CodeList»

EcologicalFocusAreaTypeValue

+ landLyingFallow

+ terraces

+ landscapeFeaturesHedgesWoodedStrips

+ bufferStrips

+ hectaresOfArgoForestry

+ stripsOfEligibleHectaresAlongForestEdgesWithoutProduction

+ stripsOfEligibleHectaresAlongForestEdgesWithProduction

+ areasWithShortRotationCoppice

+ afforestedAreas

+ areasWithCatchCropsOrGreenCover

+ areasWithNitrogenFixingCrops

+ landscapeFeatureIsolatedTree

+ landscapeFeatureTreesInLine

+ landscapeFeatureGroupOfTrees

+ landscapeFeatureFieldMargin

+ landscapeFeaturePonds

+ landscapeFeatureDitches

+ landscapeFeatureTraditionalStoneWalls

+ landscapeFeatureOtherProtectedByGaecSmr

GML Identification system for agricultural parcels

«FeatureType»

ReferenceParcel

«property»

+ metadata :FeatureLevelMetadata

+ referenceParcelId :CharacterString

+ geometry :GM_Object

+ referenceArea :Area [1..*]

+ supportSchemaType :SupportSchemeTypeValue [1..*]

constraints

{geometryType}

{referenceAreaUoM}

GML Identification system for agric...

«CodeList»

ProRataCategoryValue

+ grassland90

+ grassland50

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LULUCF pilot – preliminary results 2

• GSAA potential must be further explored

• It possess “granular” information about crops/crop types

• It stores information about geographic locations at relatively high spatial and temporalresolution

• Generalisation is possible depending on particular use-cases

• Attention to high computing power requirements due to high spatial resolution (details)

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GML Aid applications and payment claims

«FeatureType»

Application

«property»

+ metadata :FeatureLevelMetadata

+ applicationId :CharacterString

+ supportSchemeType :SupportSchemeTypeValue [1..*]

+ geometry :GM_Object [0..*]

+ declaredArea :Area

+ declaredEcologicalFocusArea :Area

+ requiredEcologicalFocusArea :Area

+ declaredEntitlementArea :Area [0..1]

+ submissionDate :Date

+ correctionDate :Date [0..1]

+ withdrawalDate :Date [0..1]

+ nonStructuredEvidenceDocument :SupplementaryDocument [0..*]

+ nonStructuredEvidenceCitation :SupplementaryDocumentCitation [0..*]

constraints

{geometryType}

{declaredAreaUoM}

{declaredEcologicalFocusAreaUoM}

{declaredEntitlementAreaUoM}

{correctionDate}

{requiredEcologicalFocusArea}

{withdrawalDate}

GML Aid applications and payment claims

«FeatureType»

AgriculturalParcel

«property»

+ metadata :FeatureLevelMetadata

+ agriculturalParcelId :CharacterString

+ geometry :GM_Surface [0..1]

+ declaredArea :Area

+ specieCode :SpecieCodeValue [0..1]

+ varietalName :VarietalNameValue [0..1]

constraints

{declaredAreaUoM}

{declaredAreaValue}

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Conclusions and further steps

• Validation workshop, November 2019 in Prague

• EU Map demonstrating the stay of play

• Q&A on legal aspects

• Technical guidelines

• Implementation plan for 2020

• Ad-hoc implementation support

• Use-cases to demonstrate and test effective data sharing

• EU common data space (Digital Europe Programme)

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Thank you for your attention

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CONTACTS

• AGRI

Mohamed.El-Aydam@ec.europa.eu

Piotr.wojda@ec.europa.eu

• JRC

Pavel.milenov@ec.europa.eu

Katalin.toth@ec.europa.eu

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