Data sources
The purpose of modeling is to provide accurate and meaningful representations of system behavior in specific scenarios. But, the outputs of these models are only accurate and meaningful when fed by quality data. Quality data can make or break the accuracy of modeling and simulation.
Contacts
& EMG representat(s) :
In order to set up the model for particular spatial area, we need the best available data.
In the table below we summarize the data sources that we use when setting up the models in NIBIO.
In the table one can find both:
- data sources specific for Norwegian case studies (marked in blue)
- data sources providing wordwide data.
Table is under development (current version 2023.12.13)
Data | Source | Comments |
General spatial settings | ||
Matrikkelen-Eiendomskart Teig (DEK)
Field/farm borders | Geonorge.no
(SOSI format) | Matrikkelen-Eiendomskart Teig contains an extract of property information that is registered in Matrikkelen, Norway's official register of real estate. The data set contains teigers (delimited areas/plots) with information about which property (cadastral unit) they belong to. The cadastral number (municipal number-farm number/use number (DEK), possibly attachment number, section number) identifies the property and belongs to the cadastral unit data type. |
Maps of catchment borders | Water regions Vannområde |
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Location of CW | Water regions Vannområde |
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FKB-Vann | Geonorge.no | FKB-Vann escribes the geographical location, course and form of streams, rivers, canals, ditches, lakes, glaciers and the topographical part of the coast and sea. |
Maps with land use and land cover
| Geonorge.no NIBIO
| AR5 is a detailed land resource map adapted to a scale of 1:1000 and up. The map is part of the joint map database (FKB-AR5) which contains detailed map data for Norway and is managed by the Geovekstsambarbeid |
This land cover data is created by artificial intelligence methods and large amounts of a training dataset which has billions of labeled pixels. ESRI land cover data is available for the year of 2022. This land cover data is produced by using Sentinel-2 10 m time series satellite imagery.
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Lakes polygons - HydroSHEDS | The “HydroSHEDS” website is the place where we acquire lake polygons in global scale. HydroLAKES database provides lake borders with at least 10 ha area. This database “encompasses 1.4 million individual lakes or reservoirs representing a total surface area of 2.67 million km², a total shoreline length of 7.2 million km, and a total storage volume of 181,900 km³”. The data should be clipped by borders of study area. | |
Information about measures (eStill) | Landbruksdirektoratet
| Information about the measures that were subsidised. We get them through application for production subsidy and RMP subsidy (via eStil) (updated yearly)
Contact in NIBIO: Sigrun Kværnø (Soil and Land use section)
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Soil maps | NIBIO
| Soil map with information on soil type and slope planning, and maps with continuous values for erosion risk during autumn plowing ("EHP")
Contact in NIBIO: Sigrun Kværnø (Soil and Land use section); Division of survey and statistics |
(vector and attribute data), published in 2001
| The most appropriate data for European countries unless there is no local level soil data. This database has soil geographical database with several essential attributes. NOTE: This database has coarse spatial resolution in Norway but still the only alternative. Higher resolution soil data is available only for agricultural areas in Norway. | |
DEM | LIDAR data | Contact in NIBIO: Robert Barneveld (Soil and Land use section) |
Space Shuttle Radar Topography Mission (SRTM) ASTER Global Digital Elevation Model (GDEM) | The most used DEM data which are available for the entire world. Both of these data have 30-meter spatial resolution, and this is the highest resolution freely available on the internet unless there is no local DEM data with higher resolution. | |
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Meteorological data | ||
Temp Precipitation Surface net solar radiation 10m u-component of wind 10m v-component of wind | MetNO |
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Both re-analysis and ensemble mean data is available in hourly time format. Users must select days of months and hours of a day along with entering latitude-longitude information. The data comes in a “.txt” file and correct lines should be selected carefully. Also, units of specific data should be considered, and necessary conversions must be made. For example, temperature data must be converted from Kelvin to Celsius. | ||
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Field/farm data | ||
Farm management | JOVA | Contact in NIBIO: Hans Olaf (Soil and Land use section) |
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