1. Provision of harmonized land cover information for lucas from the Finnish datasets Eurostat grant 2014 Provision of harmonized land cover/land use information: LUCAS and national systems
Elise Järvenpää, Markus Haakana, Pekka Härmä, Minna Kallio, Riitta Teiniranta, Sakari Tuominen, Markus Törmä, Nina Vainikainen

2. Project partners
Consortium: Finnish Environment Institute (SYKE) and Natural Resources Institute Finland (Luke)
SYKE maintains an environmental spatial data infrastructure (ESDI), which serves the whole environmental administration being the biggest INSPIRE data provider in Finland in numbers of different data sets and themes
LUKE, the former Finnish Forest Research Institute METLA plus several other institutes, is responsible of the Finnish National Forest Inventory (NFI)
National data providers have been invited to form an “advisory board”
To guide the work of the project team
To confirm that the results of the project are discussed in national level
To ensure that results are better taken into account in development of national land monitoring
Project duration

3. Main goal Land monitoring in Finland
National high resolution CLC:
raster with 20 m pixel size and
national 4th level classes
Land monitoring in Finland
Several organizations are responsible for operational LC monitoring programmes
Data is usually open & free of charge
Information is integrated to produce spatial datasets
Needs of the European Environment Agency are fulfilled (Corine Land Cover)
Now also data needs of EUROSTAT taken into account
Develop Finnish bottom-up-approach for LM so that also statistical datasets for Lucas survey could be produced
Inventory of national datasets and classifications
Development of methodology to get Lucas compatible data
Concentration to land cover and objective 1
Which is generalized to
European CLC: vector with
25 ha MMU
Objective 1 concerns the provision of statistical data on land use and land cover, and information on the access and use conditions to national micro data
Objective 2 concerns the integration of LUCAS into a national in-situ survey

4. Tasks from both objectives in 6 WPs
WP1: Inventory of existing national data sources on land cover/use
Assessment of their comparability to LUCAS classification
WP2: Methodology development and technical solutions
A method for data integration of various data sources is developed, tested and documented for a pilot area
WP3: Results, metadata and quality assessment
Statistical tables are produced in NUT levels covering the whole of Finland together with metadata and data quality is evaluated by comparing the results to other datasets
WP4: Feasibility and accessibility aspects of micro data
The feasibility of future updates using proposed and tested approach is evaluated including access and use conditions of the national datasets
WP5: Information on additional micro data
National field surveys are evaluated in order to estimate the possibility to cover any of in-situ components of LUCAS inside or parallel to national ongoing programmes.
WP6: Analysis of the national in-situ survey
Selected field survey (National Forest Inventory) is analysed in terms of objectives, methodology, schedule, organisation, data flow and quality assurance

5. WP1: The listing of available national GIS and in-situ data sets and data producers
National high resolution (20m raster) CORINE land cover (SYKE)
Copernicus IMAGE2012
High Resolution Layers
Environmental Registers (SYKE)
Register for sand pits and mining areas
National forest inventory , (Luke)
Different themes
Agricultural Land parcel database LPIS (Agency for Rural affairs)
Topographic Database (National Board of Survey)
Different masks: buildings, other built-up areas, fields, soil
Land parcel boundaries database (National Board of Survey)
Building Information in Population Information System (Population register Centre)
The national road and street database, Digiroad (Finnish Transport Agency)
Reindeer pasture inventory (Game and Fisheries Research)
Soil databases (Geological Survey of Finland)

6. WP1: Comparison of class definitions of Lucas and national datasets
Cross tabulation of Lucas2012 microdata to all national and selected European Copernicus data layers
To have an overview to how many Lucas points we can get a value from national datasets
To identify the most problematic classes/areas
Next step
Comparison of class definitions of Lucas GT2014 in 2nd level and national land cover data sources class by class
Continue the WP2 with the relevant national datasets

7. LUCAS not artificial land
HRL Imperviousness
LUCAS artificial land
Aerial image
HRL tree cover density
HRL forest type

8. Oat (Lucas)
Spring grain, oat (LPIS)
Non-irrigated arable land (CLC HR20m)

9. Field /transitional woodland (CLC HR20m)
”Artificial” (Lucas)
Field /transitional woodland (CLC HR20m)
Only main roads were taken to CLC HR20m
Narrow roads can be derived from Digiroad

10. WP 5: Assessing how LUCAS in-situ data can be collected in national surveys
Finnish National Forest Inventory (NFI)
Micro data on environmental parameters  Covered for all forestry land
Transect data on land cover  No transects
Photos  No photos
Soil module Some soil data covered for forests
Next step
Assessing the feasibility of implementing the in-situ components not being covered in NFI

11. Next steps Continuation of WP1 and WP5
WP2 (Methodology development) will start in May 2015
The first meeting of the expert group of national data providers (advisory board)
3rd of June 2015 in SYKE
The topic of the seminar is “The possibilities to contribute Lucas inventory with national land cover datasets”
Field trip to Western Lappland in August 2015
Lucas survey and NFI survey