Agricultural land 2021

Buildings 3D

The 3D vectors for buildings are three-dimensional instances of the Building target category in the National Topographic Database (KMTK). The 3D vectors are produced with a high degree of automation from laser scanning data 5 p based on 2D vectors for buildings in KMTK. For the time being, data is available only from a few example areas, but the coverage will be extended to the whole of Finland as the laser scanning programme proceeds. The product belongs to the open data of the National Land Survey of Finland.

Kasvukauden alku / Start of vegetation period

The data set consists of yearly maps of the start of the vegetation active period in deciduous vegetation and coniferous forest. The start of vegetation active period in deciduous vegetation (Day of Year) is defined as the day when deciduous trees unfold new leaves in spring. It is also often referred to as the green-up or greening day. The data set was derived from time series of the Normalized Difference Water Index (NDWI) calculated from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observations. The start of vegetation active period in coniferous forest (Day of Year) is defined as the day when coniferous trees start to photosynthesize in spring. The data set was derived from MODIS satellite observation of Fractional Snow Cover. The day when snow cover decreases during spring melt was used as a proxy indicator for the beginning of the start of the vegetation active period. The data set can be used of phenology analysis at regional and national scale and as input data for modelling. This SYKE’s dataset can be used according to open data license (CC BY 4.0)

Crop sidestreams

Field biomass sidestreams GIS data describes the maximum harvestable sidestream potential based on current tillage. Sidestreams has been calculated by crop statistics, cultivation area, solid content and harvest index. Harvest index describes the part of the plant that is utilized as a crop. Rest of the plant is considered sidestream. In many cases the maximum sidestream cannot be necessarily utilized as whole, because of technical and economical constraints for harvest. Part of the sidestream is also wise to plough in to field to maintain its fertility. Field crop data is conducted from Luke's crop production statistics. The crop statistics in ELY centre level is divided into the Biomass Atlas grid weighting by the crop area of that certain plant. Crop area is from IACS-register, used to manage subsidies in agriculture. Farmers report their cultivation plans there every spring. Crop area and amount are from same year, usually previous year.

Finnish Soildatabase 1:250 000, 1.1

Lack of spatial soil data in digital form has been a primary obstacle in establishing European policies on land use and environmental protection. Abundant data on soil characteristics exist in Finland but have been scattered among various sources, making it difficult for authorities to make country-wide presentations and predictions.The objective of the project was to create georeferenced soil map and database according to the instructions of the European Soil Bureau using data from existing databases and collecting some new data. The basis of the work was a geological map of quaternary deposits, which describes the soil at a depth of 1 metrem (parent material) according to the Finnish classification based on the concentration of organic matter and the texture of mineral material. Primary research topics included generalization methodology of soil polygons with GIS technology, calculation of soil characteristics needed in the database and computerizing the existing non-digital soil information. It was proved that aerial geophysics can be used for separation of shallow peats from deep peat soils and muddy soils and other wet areas can be identified. Soil names according to the FAO/Unesco system and the World Reference Base for Soil Resources (WRB-2014) were derived from the soil names of the Finnish soil classification system and geophysical data. Soilscape (Soil Mapping Units) of Finland with WRB-2014 soil classification, intented to be used in European scale e.g to delineate risk areas mentioned in soil framework directive proposal.

NLS-FI INSPIRE View Service for Geographical Names

NLS-FI INSPIRE View Service for Geographical Names Theme is an INSPIRE compliant Web Map Service. It contains the following harmonized INSPIRE map layers: NamedPlace. The service is based on the Geographic Names Register of the National Land Survey of Finland. The dataset is administrated by the National Land Survey of Finland.

Integrated contamination status assessment 2018

This dataset represents the integrated assessment of hazardous substances in the Baltic Sea in 2011-2016, assessed using the CHASE tool (https://github.com/helcomsecretariat/CHASE-integration-tool). The integration is based on hazardous substances core indicators covering concentrations of hazardous substances. This dataset displays the result of the assessment in HELCOM Assessment unit Level 3 (Division of the Baltic Sea into 17 sub-basins and further division into coastal and offshore areas). Attribute information: "HELCOM_ID" = ID of the HELCOM scale 3 assessment unit "country" = Country/ opensea "level_3" = Name of the HELCOM scale 3 assessment unit "area_km2 = Area of the HELCOM scale 3 assessment unit "AULEVEL" = Scale of the assessment units "coastal" = Code of scale 3 HELCOM assessment unit "Input" = Contamination ratio of the assessment unit (Higher score indicates higher contamination) "Confidence" = Confidence of the assessment (Low/ Moderate/ High/ Not assessed) "Status" = Status value for the assessment (= 1.0: Low contamination score, > 1.0: High contaminantion score)

EMODnet View Service for Seabed substrate

The EMODnet (European Marine Observation and Data network) Geology project collects and harmonizes marine geological data from the European sea areas to support decision making and sustainable marine spatial planning. The project partnership consists mainly of the marine departments of the geological surveys of Europe (through the Association of European Geological Surveys-EuroGeoSurveys), which have assembled marine geological information at various scales from all European sea areas (e.g., the White Sea, Baltic Sea, Barents Sea, the Iberian Coast, and the Mediterranean Sea within EU waters), the Caspian Sea and the Caribbean Sea. EMODnet seabed substrate data products include datasets at 1:1 000 000, 1:250 000, 1:100 000 and high-resolution scales (1:1 500, 1:5 000, 1:10 000, 1:15 000, 1:20 000, 1:25 000, 1:30 000, 1:45 000, 1: 50 000, 1:60 000, 1:70 000). Traditionally, European countries have conducted their marine geological surveys according to their own national standards and classified substrates on the grounds of their national classification schemes. These national classifications are harmonised into a shared EMODnet schema using Folk's sediment triangle with a hierarchy of 16, 7 and 5 substrate classes. The data describes the seabed substrate from the uppermost 30 cm of the sediment column. The datasets have been compiled at different scales from background information that depends on the original producer. In cases, the data has been generalized into a target scales. Coarser scale data (1M, 250k and 100k) describes the seabed substrate at a general level only and is not suitable for a detailed analysis. High-resolution material includes multiple scales from 1:1 500 to 1:70 000 and the user should assess its suitability for the intended purpose. The smallest cartographic unit within the data is about 4 km2 at 1:1M, 0,3km2 at 1:250k and 0,05km2 at 1:100k scale. Further information about the EMODnet Geology project is available on the centralized EMODnet portal https://emodnet.ec.europa.eu/en/geology.

FMNH / LUOMUS WFS-service

LUOMUS WFS is an API to the geospatial information provided by the Finnish Museum of Natural History. The use of the service is free and doesn't require authentication.