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  • The technical harvesting potential of logging residues and stumps from final fellings can be defined as the maximum potential procurement volume of these available from the Finnish forests based on the prevailing guidelines for harvesting of energy wood. The potentials of logging residues and stumps have been calculated for fifteen NUTS3-based Finnish regions covering the whole country (Koljonen et al. 2017). The technical harvesting potentials were estimated using the sample plots of the eleventh national forest inventory (NFI11) measured in the years 2009–2013. First, a large number of sound and sustainable management schedules for five consecutive ten-year periods were simulated for each sample plot using a large-scale Finnish forest planning system known as MELA (Siitonen et al. 1996; Redsven et al. 2013). MELA simulations consisted of natural processes and human actions. The ingrowth, growth, and mortality of trees were predicted based on a set of distance-independent tree-level statistical models (e.g. Hynynen et al. 2002) included in MELA and the simulation of the stand (sample plot)-level management actions was based on the current Finnish silvicultural guidelines (Äijälä et al. 2014) and the guidelines for harvesting of energy wood (Koistinen et al. 2016). Final fellings consisted of clear cutting, seed tree cutting, and shelter-wood cutting, but only the clear-cutting areas were utilized for energy wood harvesting. As both logging residues and stumps are byproducts of roundwood removals, the technical potentials of chips have to be linked with removals of industrial roundwood. Future potentials were assumed to materialize when the industrial roundwood fellings followed the level of maximum sustainable removals. The maximum sustainable removals were defined such that the net present value calculated with a 4% discount rate was maximized subject to non-declining periodic industrial roundwood and energy wood removals and net incomes, and subject to the saw log removal remaining at least at the level of the first period. There were no constraints concerning tree species selection, cutting methods, age classes, or the growth/drain ratio in order to efficiently utilize the dynamics of forest structure. The felling behaviour of the forest owners was not taken into account either. For the present situation in 2015, the removal of industrial roundwood was assumed to be the same as the average level in 2008–2012. Fourth, the technical harvesting potentials were derived by retention of 30% of the logging residues onsite (Koistinen et al. 2016) and respectively by retention of 16–18% of stump biomass (Muinonen et al. 2013). Next, the regional potentials were allocated to municipalities proportionally to their share of mature forests (MetINFO 2014). Subsequently, the municipality-level potentials were spread evenly on a raster grid at 1 km × 1 km resolution. Only grid cells on Forests Available for Wood Supply (FAWS) were considered in this operation. Here, FAWS was defined as follows: First, forest land was extracted from the Finnish Multi-Source National Forest Inventory (MS-NFI) 2013 data (Mäkisara et al. 2016). Second, restricted areas were excluded from forest land. The restricted areas consisted of nationally protected areas (e.g. nature parks, national parks, protection programme areas). References Äijälä O, Koistinen A, Sved J, Vanhatalo K, Väisänen P (2014) Metsänhoidon suositukset [Guidelines for sustainable forest management]. Metsätalouden kehittämiskeskus Tapion julkaisuja. Hynynen J, Ojansuu R, Hökkä H, Salminen H, Siipilehto J, Haapala P (2002) Models for predicting the stand development – description of biological processes in MELA system. The Finnish Forest Research Institute Research Papers 835. Koistinen A, Luiro J, Vanhatalo K (2016) Metsänhoidon suositukset energiapuun korjuuseen, työopas [Guidelines for sustainable harvesting of energy wood]. Metsäkustannus Oy, Helsinki. Koljonen T, Soimakallio S, Asikainen A, Lanki T, Anttila P, Hildén M, Honkatukia J, Karvosenoja N, Lehtilä A, Lehtonen H, Lindroos TJ, Regina K, Salminen O, Savolahti M, Siljander R (2017) Energia ja ilmastostrategian vaikutusarviot: Yhteenvetoraportti. [Impact assessments of the Energy and Climate strategy: The summary report.] Publications of the Government´s analysis, assessment and research activities 21/2017. Mäkisara K, Katila M, Peräsaari J, Tomppo E (2016) The Multi-Source National Forest Inventory of Finland – methods and results 2013. Natural resources and bioeconomy studies 10/2016. Muinonen E, Anttila P, Heinonen J, Mustonen J (2013) Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints. Silva Fenn 47. Redsven V, Hirvelä H, Härkönen K, Salminen O, Siitonen M (2013) MELA2012 Reference Manual. Finnish Forest Research Institute. Siitonen M, Härkönen K, Hirvelä H, Jämsä J, Kilpeläinen H, Salminen O, Teuri M (1996) MELA Handbook. Metsäntutkimuslaitoksen tiedonantoja 622. ISBN 951-40-1543-6.

  • Seabed substrate 1:250 000 is one of the products produced in the EMODnet (European Marine Observation and Data network) Geology EU project. Project provided seabed geological material from the European maritime areas. The EMODnet Geology project ( collects and harmonizes geological data from the European sea areas to support decision-making and sustainable marine spatial planning. The EMODnet Geology partnership has included 36 marine organizations from 30 countries. This data includes the EMODnet seabed substrate map at a scale of 1:250 000 from the Finnish marine areas. It is based on the data produced on a scale of 1:20 000 by the Geological Survey of Finland (GTK), which does not cover the whole Finnish marine area yet. The seabed substrate data will be updated with a new interpreted data on a yearly basis.The data has been harmonized and reclassified into five Folk substrate classes (mud, sandy clays, clayey sands, coarse sediments, mixed sediments) and bedrock. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. The data have been generalized into a target scale (1:250 000). The smallest smallest cartographic unit within the data is 0.3 km2 (30 hectares). Further information about the EMODnet-Geology project is available on the portal ( Permission (AK15246) to publish the material was obtained from the Finnish Defence Office 28.07.2014

  • The themes of the Topographic database and Topographic map raster series (scale 1:10,000) have been compiled into seven theme entities, theme rasters, required by the Inspire directive: hydrography, elevation, traffic network, land use, land cover, place names and buildings. In addition to the above, the theme rasters also include the municipal division, road names and map sheet division as separate themes. The theme rasters have not been implemented according to the imaging technology defined in the Inspire directive. They will be produced later. The product belongs to the open data of the National Land Survey of Finland. More information: Topographic data and how to acquire it

  • The Background map series is a dataset product series in raster format that depicts the whole of Finland and that is meant for web use as a background material for thematic data. Its key objects are road names, roads and railways, buildings and constructions, administrative borders, geographical names, waterways, land use and addresses of buildings (from the Population Register Centre). The product belongs to the open data of the National Land Survey of Finland. More information: Topographic data and how to acquire it

  • The marine habitat type data concerns the modelling work carried out within the Finnish Inventory Programme for the Underwater Marine Environment (VELMU) in spring 2015. The task was done in cooperation between the Geological Survey of Finland (GTK) and Åbo Academi University (ÅA). The work included the modelling of the marine habitats included in the Annex 1 of the Habitats Directive: reefs (1170) and sandbanks, which are slightly covered by sea water all the time (1110). The aforementioned marine habitat types are specified on the basis of seabed substrate type and topographic form and they can overlap one another. The objective was to produce comprehensive maps of the occurrences of reefs and sandbanks throughout the entire marine area of Finland based on the best data available. The criteria to determine the marine habitats were discussed with the responsible bodies and the instructions (version 5.1), which include more precise criteria for determining marine habitat types than the Natura 2000 Habitats Manual (Airaksinen & Karttunen 2001), for a Natura 2000 inventory were utilised. On the basis of different criteria and test analyses, a decision was made to model the following entireties: - Potential rocky reefs - detail-scale sites that are likely to have reef occurrences. - Potential rocky reef environments - larger sites that are likely to have reef occurrences. - Potential sandbanks - detail-scale sites that are likely to have sandbank occurrences. - Potential sandbank environments - larger sites that are likely to have sandbank occurrences. The data concerning the marine habitats of restricted areas has been removed.

  • An aerial photograph is a photograph of the terrain taken from an aeroplane. The images are vertical photographs applicable to be used in mapping. The aerial photographs are reprocessed into dimensionally accurate images called orthophotos. Aerial photographs are available since the 1930s, depending on the area. Aerial photographs are available in black and white, colour and infrared. The size and accuracy of aerial photos depend on the camera, photography scale and altitude or ground sample distance (GSD). The product belongs to the open data of the National Land Survey of Finland. More information: Topographic data and how to acquire it

  • Municipal Division is a dataset depicting the municipal division in the whole of Finland. The Municipal Division dataset is produced in scales 1:10,000, 1:100,000, 1:250,000, 1:1,000,000 and 1:4,500,000. The data included in the dataset in scale 1:10,000 are taken from the cadastral registry. Regarding other scales, municipal boundaries have been generalised to suit the scale in question. The Municipal Division dataset is available as products both in vector and raster format. The products in vector format contain the number codes of the municipalities, the names of the municipalities both in Finnish and in Swedish as well as municipal boundaries and municipal regions. In addition, the vector product includes the corresponding information about the county regions and the State Administrative Agencies. Products in raster format include municipal boundaries only. The product belongs to the open data of the National Land Survey of Finland. More information: Topographic data and how to acquire it .

  • The Arctic SDI Geoportal provides access to geospatial data and services available via the Arctic SDI to support and facilitate monitoring, management and decision making, and support sustainable development in the Arctic. Specifically, the Arctic SDI Geoportal facilitates the discovery, visualization, evaluation, download and integration of geographic data from a variety of sources for the Arctic. The Arctic SDI Geoportal is the result of cooperative efforts between the National Mapping Agencies (NMAs) of the eight Arctic Council Member countries - Canada, Denmark, Finland, Iceland, Norway, Russia, Sweden and the United States. The Arctic SDI Geoportal includes reference data (such as the Arctic SDI topographic basemap or Pan-Arctic Digital Elevation Model) and thematic data from various sources. Thematic data section includes themes such as oceans, climatology and geoscientific information. Most of the data covers the Arctic or the involved Arctic countries, but new data sources with a smaller or larger geographical extent may be accepted. The Geoportal allows searching placenames via a circumpolar gazetteer, and embedding interactive maps to any website. Some of the features require registration.

  • Elevation model 2 m is a model depicting the elevation of the ground surface in relation to sea level. Its grid size is 2 m x 2 m. The dataset is based on laser scanning data, the point density of which is at least 0.5 points per square metre. The product is available as versions with different coverage areas through-out the whole country but not as comprehensive. New data is added to the dataset continuously. Eleva-tion model 10 m is available as a version that covers the whole of Finland. Elevation model 2 m is produced in two quality classes: the elevation accuracy in class I is on average 0.3 metres and the elevation accuracy in class II varies between 0.3 metres and one metre. The product belongs to the open data of the National Land Survey of Finland. More information: Topographic data and how to acquire it

  • The Finnish Forest Research Institute (Metla) developed a method called multi-source national forest inventory (MS-NFI). The first operative results were calculated in 1990. Small area forest resource estimates, in here municipality level estimates, and estimates of variables in map form are calculated using field data from the Finnish national forest inventory, satellite images and other digital georeferenced data, such as topographic database of the National Land Survey of Finland. Seven sets of estimates have been produced for the most part of the country until now and six sets for Lapland. The number of the map form themes in the most recent version, from year 2015, is 45. In addition to the volumes by tree species and timber assortments, the biomass by tree species groups and tree compartments have been estimated. The first country level estimates correspond to years 1990-1994. The most recent versions are from years 2005, 2007, 2009, 2011, 2013 and 2015. The maps from 2015 is the fourth set of products freely available. It is also the second set produced by the Natural Resources Institute Finland. A new set of the products will be produced annually or biannually in the future. The maps are in a raster format with a pixel size of 16m x 16m (from 2013) and in the ETRS-TM35FIN coordinate system. The products cover the combined land categories forest land, poorly productive forest land and unproductive land. The other land categories as well as water bodies have been delineated out using the elements of the topographic database of the Land Survey of Finland.