I produkten ingår två kartskikt som beskriver markfuktighet. Dessa rasterkartor är producerade genom sambearbetning av data från Lantmäteriets nationella laserskanning och provytor från Riksskogstaxeringen (SLU). Rastercellerna har en storlek på 2 x 2 meter. Värdena för en rastercell beskriver medel-markfuktigheten under året. Markfuktighetskartan bygger på hydrologiska modelleringar baserat på GSD-Höjddata grid 2+ © Lantmäteriet. Nedan följer en kort beskrivning av de variabler som ingår i produkten. SLU Markfuktighetskarta SLU markfuktighetskarta skapades genom att kombinera information i 24 olika kartor och använda fältdata från 20 000 av riksskogstaxeringens provytor som är fördelade över hela Sverige för att träna modellen (genom så kallad maskininlärning) var det är torrt och var det är blött. Det gör att kartan är anpassad för olika regioner med olika topografi, klimat, och jordarter. SLU markfuktighetskarta visar hur sannolikt det är att en pixel i kartan ska klassificeras som blöt, det kan ses som ett index där 0 är torr och 100 blöt. På SLU Markfuktighetskarta indikerar färgerna olika markfuktighet; torr mark är röd, fuktig mark är gul, frisk-fuktig mark är grön, fuktig mark är turkos och blöt mark är blå. Men färgerna på kartan ”smälter ihop” för att få mjukare övergångar. SLU Markfuktighetskarta klassad Den klassade markfuktighetskartan visar markfuktigheten indelad i tre klasser: 1. torr-frisk, 2. frisk-fuktig och 3. fuktig-blöt. Öppet vatten (sjöar och vattendrag) har klassats som 4. Läs mer om de enskilda rasterkartorna på http://www.slu.se/mfk.

Skogliga grunddata består av ett antal olika kartprodukter producerade genom sambearbetning av data från Lantmäteriets nationella laserskanning och provytor från SLU:s Riksskogstaxering. I skogliga grunddata finns information om: Volym (enhet: m3sk/hektar) Grundytevägd medelhöjd (Hgv) (enhet dm) Grundyta (Gy) (enhet: cm) Grundytevägd medeldiameter (Dgv) (enhet: cm) Biomassa (enhet: ton torrsubstans/hektar)

Områden som avverkats enligt skillnadsanalys i satellitbilder.

Scannade ÖSI-kartor från Skogsstyrelsens Översiktliga Skoglig Inventering. Inventering i fält samt kartritning vid ritbord 1982-1993.

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units. In the “Interpolated census of agriculture”, suppression confidentiality procedures were applied by Statistics Canada to the custom tabulations to prevent the possibility of associating statistical data with any specific identifiable agricultural operation or individual. Confidentiality flags are denoted where "-1" appears in data cell. This indicates information has been suppressed by Statistics Canada to protect confidentiality. Null values/cells simply indicate no data is reported.

The Estimated Historical Crop Yields in Canada by SLC (kg\hectare) dataset is produced by combining three complementary sources of yield information at the Soil Landscapes of Canada (SLC) level. First, provincial-level yields for seven major crops are allocated down to SLC polygons using area-based adjustments and statistical scaling. Second, forage yields (alfalfa, improved pasture, unimproved pasture) are taken directly from the EPIC model, which already outputs data at the SLC level. Third, insurance yield datasets (for the Prairies) are linked to SLC polygons and incorporated where available. These three sources are harmonized, ensuring consistency across crops and regions, resulting in a comprehensive SLC-level crop yield dataset for national-scale modeling and reporting. This dataset was created primarily in support of Statistics Canada’s Census of Environment. This data can also be used for national scale modelling, calibration of agricultural models, and reporting for the agri-environmental indicators.

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units. In the “Interpolated census of agriculture”, suppression confidentiality procedures were applied by Statistics Canada to the custom tabulations to prevent the possibility of associating statistical data with any specific identifiable agricultural operation or individual. Confidentiality flags are denoted where "-1" appears in data cell. This indicates information has been suppressed by Statistics Canada to protect confidentiality. Null values/cells simply indicate no data is reported.

The Census of Agriculture is disseminated by Statistics Canada's standard geographic units (boundaries). Since these census units do not reflect or correspond with biophysical landscape units (such as ecological regions, soil landscapes or drainage areas), Agriculture and Agri-Food Canada in collaboration with Statistics Canada's Agriculture Division, have developed a process for interpolating (reallocating or proportioning) Census of Agriculture information from census polygon-based units to biophysical polygon-based units. In the “Interpolated census of agriculture”, suppression confidentiality procedures were applied by Statistics Canada to the custom tabulations to prevent the possibility of associating statistical data with any specific identifiable agricultural operation or individual. Confidentiality flags are denoted where "-1" appears in data cell. This indicates information has been suppressed by Statistics Canada to protect confidentiality. Null values/cells simply indicate no data is reported.

This dataset is no longer maintained by Agriculture and Agri-Food Canada and should be considered as an archived product. For current estimates of the agricultural extent in Canada please refer to the Agricultural Ecumeme produced by Statistics Canada. https://www150.statcan.gc.ca/n1/en/catalogue/92-639-X The Agriculture Extent of Canada derived from the AVHRR (Advanced Very High Resolution Radiometer) was obtained from the GeoGratis web site (www.geogratis.ca). All polygons with an area less than 50 Km sq were eliminated by GeoGratis before we received the data. This product allows the user to see the significant areas of cropland and rangeland across Canada. The Agriculture Extent of Canada derived from the AVHRR (Advanced Very High Resolution Radiometer) was obtained from the GeoGratis web site (www.geogratis.ca). All polygons with an area less than 50 Km sq were eliminated by GeoGratis before we received the data. This product allows the user to see the significant areas of cropland and rangeland across Canada.

The “Biomass Agriculture Inventory 1-in-10 Probability” dataset is a table that contains the estimated 1-in-10 year low for agricultural residue yield and crop production for each Biomass Report Framework. It provides the tenth percentile values for the years 1985-2016. The table includes straw or stover information for barley, wheat, flax, oats and corn, and crop information for barley, wheat, flax, oats, corn, canola and soybean. This dataset also includes information about the type of tillage used in the area and demand for straw for cattle bedding and feed. These values are derived from Statistics Canada data. Additionally, the dataset includes the amount of agricultural residue calculated as necessary to remain on the field to prevent soil degradation. Soil degradation is determined by the type of tillage in use as well as the landscape of the area.