Description of the Data sets
The data sets in the Data Sharing System are described shortly below.
A more detailed description of the data sets is available in the Data Catalogue
Forestry data sets
Forest resource data 2017
This is the approved and frozen forest resource data of 2016
(situation in the end of the year). It covers the whole country.
You can select various forest resource themes to be
visualised on the map.
This is the approved and frozen forest resource data of 2016 (situation in the end of the year). It covers the whole country.
You can select various forest resource themes to be visualised on the map.
National Forest Inventory and Statistics (NFIS)
This is the original and approved NFIS data that was collected per province by various consultants. The data covers the whole country.
You can select various NFIS themes to be visualised on the map.
National Forest Inventories (NFI) 1990-2010
This data is processed from the results of the 5 cycles of forest inventories done in 1990-2010. The forest inventories were done using different methods. Their results were not compatible. Data processing work has been done later on in two different projects (Nordeco, JICA) for harmonising the results and making the inventories as compatible as possible.
You can select from the five different inventories/years and have the forest type from the selected inventory to be visualised on the map.
Potential for REDD+ and afforestation
This data is result of a JICA study that compared the different national inventory cycles against each other and pointed out changes in forest type that indicate gain or loss or forest.
You can select to browse changes between different 5-year ot 10-year-periods.
Background Maps
Topographic map
The content of the topographic map is scale dependent.
· In small scales is uses locally stored data, the country boundaris are retrieved from ESRI world map, topographic features from OpenStreetMap and elevation colouring based on the Aster DGEM digital elevation model.
· In large scale the topographic map data is read on-line from ESRI World Topographic Map service.
ESRI World Topographic Map is designed to be used as a basemap by GIS professionals and as a reference map by anyone. The map includes cities, water features, physiographic features, contours, parks, landmarks, highways, roads, railways, airports, and administrative boundaries, overlaid on shaded relief imagery for added context.
This basemap is compiled from a variety of authoritative sources from several data providers, including the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA), U.S. National Park Service (NPS), Food and Agriculture Organization of the United Nations (FAO), Department of Natural Resources Canada (NRCAN), HERE, and Esri. Data for select areas is sourced from OpenStreetMap contributors.
Aster Global Digital Elevation Model (GDEM v2) has been released by The Ministry of Economy, Trade, and Industry (METI) of Japan and the United States National Aeronautics and Space Administration (NASA). The digital model was used for colouring the elevation levels for the small scale topographic map.
OpenStreetMap is a free, editable map of the whole world that is being built by volunteers largely from scratch and released with an open-content license. OpenStreetMap is open data that the OpenStreetMap Foundation (OSMF) has licensed under Open Data Commons Open Database license (ODbL).
Satellite image
The satellite image map is read from ESRI’s on-line World Imagery data service.
World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes 15m TerraColor imagery at small and mid-scales (~1:591M down to ~1:72k) and 2.5m SPOT Imagery (~1:288k to ~1:72k) for the world.
Hillshading
The hillshading is based on SRTM data. In small scales (zoom levels 10-13) hillshading from STRM90 (90 meters resolution) data was used. In larger scales (zoom levels 14-15) hillshading uses SRTM30 data.
Shuttle Radar Topography Mission (SRTM) was a NASA mission conducted in 2000 to obtain elevation data for most of the world. It is the current dataset of choice for digital elevation model (DEM) data since it has a fairly high resolution (1 arc-second, or around 25 meters), has near-global coverage (from 56°S to 60°N), and is in the public domain.
Relief
Relief is a hillshading with 1km resolution coloured mildly by elevation. It is based on SRTM data.
Treecover by Hansen
Results from time-series analysis of Landsat images in characterizing global forest extent and change from 2000 through 2014. For additional information about these results, please see the associated journal article (Hansen et al., Science 2013).
The data describes tree cover in the year 2000, defined as canopy closure for all vegetation taller than 5m in height. Encoded as a percentage per output grid cell, in the range 0–100.
The data is
licensed under a Creative Commons Attribution 4.0 International License.