Pilot studies on the provision of harmonized land use/land cover statistics: Synergies between LUCAS and the national systems Norway Erik Engelien Division for Natural resources and Environmental Statistics, Statistics Norway

Outline Data sources Methodology LUCAS classes (and data/statistics) vs. national classes Micro data access Remaining work Part B Integration of in-situ surveys with LUCAS

Data sources Statistics Norway’s land use/ land cover map Land use within built up areas and land cover Standard classification (based on existing standards and map legends) Based on existing map data bases and registers Automatic geoprocessing Supplementary data sources Register of applications to production subsidies Map of protected areas Other sources National forest survey National survey adaptation to LUCAS 2003 (Ar18x18)

Data sources AR-STAT- land cover Norwegian Forest and Landscape Institute (NFLI) Based on: AR5, AR50 and AR-mountain

Delimitation of built-up land Transport Woodland Open firm ground Chosen land plots N Utilisation rate on property is too low. Buffer represents land use.

Data sources - Statistics Norway’s land use/ land cover map Ground property map Building- and address register Land cover map (AR-STAT) National map series (1: 5 000 - 1: 50 000)

Standard classification

Methodology – LUCAS adaptation Land use/ land cover map as basis Supplementary data, statistics and reprocessed data Convert to LUCAS classes Aggregate statistics with land use/ land cover map as total sum Statistics of crops on county level (NUTS 3) Residential: Combination of ground property, land cover, building. Forestry: Forest in combination with protected areas

Update regime AR-STAT new national data set every 3. year AR5 (below tree line) update continuously by municipalities and every 5-7 year by NFLI AR50/ AR Mountain (above tree line) periodical update Cadastre (ground property, buildings, addresses) Continuously updated National map series Buildings, roads continuously Other updated each 3-10 years (air photography, built-up areas markedly more often) National statistics on land use/ cover updated yearly

Which LUCAS classes are difficult to cover, or covered with some adaptation? I Land cover main classes: Grassland/ bare land/ shrub land within built up areas We will use proportional distribution by land use class Woodland Temporarily unstocked areas within forest should be excluded We use statistics on tree age by NUTS 2/3 for allocation to F bare land Land use classes (2-digit level): U330 Under construction is not part of our classification Exists map data, but probably not very good, but will be explored further Building date U340 Commerce, finance and business Public administration is in part included land use is based on building function and in some cases (especially land use 3-digit level) not 100 per cent compatibility between national classes and LUCAS

Which LUCAS classes are difficult to cover, or covered with some adaptation? II Land cover 2-digit level: D10 Shrubland with sparse treecover (included in D20) E10 Grassland with sparse treecover (included in E20) F20 Sand (included in F10) B40 Dry pulses, vegetables and flowers Includes rutabaga and carrots which should have been B20 Flowers is included in B80 because we can not separate in data B80 Other permanent crops Not able to separate forest tree nurseries and flowers, which are included C10 Broadleaved woodland, C20 Coniferous woodland, C30 Mixed woodland Same classes in national map database but somewhat different limits of criteria H20 Coastal wetlands Not on map or statistics

Which LUCAS classes are difficult to cover, or covered with some adaptation? III Land cover 3-digit level: More discrepancies arise for this detailed level and need for more supplementary data e.g.: Number of floors Further division of woodland Land use 3-digit level: Several of the classes would need reprocessing Difficult to cover: U220 Industry and manufacturing (may use business register to obtain NACE, but geocoding…) U410 Abandoned areas

Micro data access Regulated by The Statistics Act Statistics Norway has free access to all relevant registers and map databases for producing official statistics. “Norway Digital”

Remaining work Implement methodology Produce results Describe feasibility of subsequent data delivery Our approach aims at building a system which can be run cost effectively in conjunction with the national statistical system Make final report

Part B: Integration of in-situ surveys with LUCAS By National Forest and Landscape Institute Public agency under Ministry of Agriculture and Food

Norwegian in situ survey: Based on LUCAS 2003 18 x 18 km grid = 1100 sample points

Norwegian in situ survey: 10 SSUs (as LUCAS 2003) Differences: Focus: Outfields Wall-to-wall field survey of the entire PSU (0,9 km2) New LUCAS attributes not included Implementation period: 10 years Key message: The Norwegian in situ survey is based on LUCAS 2003 methodology, but the Norwegian focus on the country’s outfield resources in areas where access is difficult (and costly) has resulted in a different development of the survey

How different can the adaptation be and what is most important? Data content Sampling Timing