Updating of LPIS (Land Parcel Identification System)

Description: 

The amount of cultivated field area is a basis for EU subsidies in arable farming. The cultivated field area is determined and registered in each EU country using a Land Parcel Identification System (LPIS). When there occurs a change in field boundary lines of a farm, e.g. due to land ownership arrangements, the information in LPIS has to be updated. The farmer knows best the new situation, and in order to carry out this update cost efficiently, it would be preferred if the farmer could update the register by him/herself. However, the quality assurance of the data inserted to the system by the farmer, is one of the restricting factors in developing the updating method.

In this proposed use case, the farmer connects to the national LPIS system via internet from his computer and downloads client software that provides the LPIS updating tool to him/her. Using the client the farmer retrieves aerial images and existing field boundary lines of his/her farm to the computer. The farmer defines the location of her/his new field parcel boundary lines on the aerial image and draws the new lines to the field boundary layer and marks also the changed old boundary lines. The farmer sends data to LPIS service provider for updating the parcel boundary lines in the national LPIS.

The national LPIS provider sends the data further to the local authority nearby the farm, who verifies the update using the client software. After this confirmation the national LPIS provider does the update to the system and prepares the further data delivery between different LPIS and parcel information utilizing agricultural service or software application, taking into account the criteria of INSPIRE.

Relevance for European agri-sector: 

The cultivated area defined by the field parcel boundary lines and registered in the LPIS are the basis for EU subsidies of arable farming. The holdings, ownership and land use of farm area are under constant change in agri-sector, as a part of the business.

Relevant countries or regions: 

The use case is relevant Europe wide since the cultivated area defined by the field parcel boundary lines and registered in the LPIS are the basis for EU subsidies of arable farming. However, the LPIS system and how detailed description of field parcel structure it provides varies between the EU countries.

Relevant parties: 

Actors

The actors that directly play a role in this use case are:
• Farmer
• National (or regional, e.g. Germany) governments as owner and operator of the LPIS
• Local authorities, e.g. local agricultural administrators or inspectors

Stakeholders (other than the mentioned actors)

• Software developers / vendors / application service providers
• European Union
As the legislative body that implements regulation CAP, INSPIRE etc., thus imposing all kinds of legislative, financial and technical conditions on this use case.

Relevant conditions: 

Relevant standards

• OGC
In order to be able to integrate with current and future spatial applications and infrastructures, to fit with data exchange on related domains and to comply with INSPIRE practices, spatial data exchange should be compliant with OGC standards; WFS and WMS.
• LCCS
The Land Cover Classification System (LCCS) is a comprehensive, standardized a priori classification system, designed to meet specific user requirements, and created for mapping exercises, independent of the scale or means used to map. The classification uses a set of independent diagnostic criteria that allow correlation with existing classifications and legends. It has been developed by FAO/UN.

Dictionaries

AGROVOC

Relevant legislation and regulations

• CAP
CAP regulations and their national implementations impose conditions on the amount of fertilizer and the timing of fertilizer application
• INSPIRE
The INSPIRE directive imposes requirements in specific domains regarding (meta)data and data exchange. This will most probably influence
• Council Reg. 3508/92, in particular the amendment 1593/00.
• Council Reg. 1782/03
• Commission Reg. 2419/01
• Commission Reg. 796/04

Technologies

• EDI (Electronic Data Interchange)
Based on the exchange of specialized messages between automated systems (e.g. through e-mail). Many currently operational legacy EDI services are based on UN/EDIFACT. Currently more and more EDI is based on the exchange of XML based messages.
• SOA (Service Oriented Architecture)
Service Oriented Architecture is based on the exchange of data through web services. It is supported by a series of standards (e.g. XML, SOAP, WSDL, OGC standards). In many cases, the SOA architecture is connected to a back-end of transactional systems.
• Process automation in handling and organizing spatial data to registers.

Definition of use case variants: 

The most commonly occurring variants are (probably):
- LPIS in different EU countries.

Business model (see www.bizagi.com): 
Information model: 
BPM reference Description Attributes/Data
A Field parcel boundary request from Farm/FMIS to Government Field ID
B Sends field parcel boundary information from Government to Farm/FMIS
Field ID
Vector data; polygon coordinates
C Sends updated field parcel boundary information from Farm/FMIS to Government
Field ID
Vector data; polygon coordinates
D Request to confirm the liability and correctness of field parcel boundary by the farmer from Government to Local authority Field ID
E Request of field parcel boundary to be confirmed from Local authority to Government Field ID
F Sends field parcel boundary information to be confirmed from Government to Local authority
Field ID
Vector data; polygon coordinates
G Sends confirmed or declined field parcel boundary information with modifications from Local authority to Government
Field ID
Confirmation: Y/N
Vector data; polygon coordinates
H Sends information about confirmed or declined field parcel boundary from Government to Farm/FMIS
Field ID
Confirmation: Y/N
Interfaces: 
Known issues and bottlenecks for harmonization: 

• Variety of LPIS in EU countries
• Existing information management structures

Source: 

Liisa Pesonen, agriXcgange project team, MTT Agrifood research Finland, liisa.pesonen@mtt.fi