Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map. Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map.  The forest boundaries included represent forest sections, forest management units, provincial forests and forest management license areas.

Tile layer of forest management in Canada, 2017 version. This is the tiled layer dataset of forest management in Canada, 2017 version. It is used in the Story Map of Forest Management in Canada, 2017.  All forest management classification codes are present in this dataset and include: Water (Managed Forest Code 100) Protected (Managed Forest Code 20) Treaty/Settlement (Managed Forest Code 40) Federal Reserve (Managed Forest Code 31) Indian Reserve (Managed Forest Code 32) Restricted (Managed Forest Code 33) Private (Managed Forest Code 50) Long-Term Tenure (Managed Forest Code 11) Short-Term Tenure (Managed Forest Code 12) Other (Managed Forest Code 13) Source: This tiled layer shows forest management in Canada areas, as of June 2017, and includes data provided by Alberta Agriculture and Forestry; British Columbia Ministry of Forests; Manitoba Sustainable Development; Natural Resources Canada; New Brunswick Department of Energy and Resource Development; Newfoundland & Labrador Department of Fisheries and Land Resources; Northwest Territories Department of Environment and Natural Resources; Nova Scotia Department of Lands and Forestry; Ontario Ministry of Natural Resources and Forestry; Prince Edward Island Department of Communities, Land & Environment; Québec Ministère des Forêts, de la Faune et des Parcs; Saskatchewan Ministry of Environment; and Yukon Energy, Mines and Resources.

This dataset corresponds to daily snow cover percentage at 1km resolution grid over land areas of Canada from 2006-2010. The data are subsampled by 4km to reduce data volumes and considering the geolocation uncertainty of the input satellite imagery. The daily maps are generated by assimilation of daily cloud screened NOAA AVHRR satellite imagery and Canadian Meteorological Centre (CMC) snow depth analysis snow depth and density fields within an off-line version of the CMC daily snow depth model. The snow depth model is modified to include snowpack reflectance model and a surface radiative transfer scheme that relates vegetation and snowpack reflectance to top-of-canopy bi-directional reflectance. A logistic vegetation phenology model is used to parameterize temporal dynamics of canopy leaf area index. A per-pixel particle filter with a 30 day moving window is applied to assimilation observations corresponding to 1km resolution visible band directional reflectance and normalized difference vegetation index and 24km CMC daily snow depth and monthly snow density fields. The assimilation is forced using daily air temperature and precipitation fields. Validation of the datasets has been performed by comparison to MODIS snow cover maps and in-situ snow depth stations across Canada. Validation suggests similar accuracy to MODIS snow cover products over relatively flat terrain. Validation over mountainous regions is ongoing.

Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map. Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map.  The forest boundaries included represent forest sections, forest management units, provincial forests and forest management license areas.

Canadas Managed Forests 2017 Albers Equal Area Canada's Managed Forests 2017 Albers Equal Area

The North America Surface Water Values point dataset contains the current water level and stream flow values as recorded by Canadian and USA hydrometric gauging station locations. Daily values are recorded as well as comparisons with historical measurements, including difference in values from the previous day, the mean level for that calendar date, the annual mean water level, and maximum and minumum recorded levels. Percentile values based on historical average for both water level and stream flow are also included. Real-time gauging station data for Canada is available here: https://wateroffice.ec.gc.ca/search/statistics_e.html Real-time gauging station data for the United States is available here: https://waterservices.usgs.gov/rest/Statistics-Service.html

Polygons denoting concentrations of sea pens, small and large gorgonian corals and sponges on the east coast of Canada have been identified through spatial analysis of research vessel survey by-catch data following an approach used by the Northwest Atlantic Fisheries Organization (NAFO) in the Regulatory Area (NRA) on Flemish Cap and southeast Grand Banks. Kernel density analysis was used to identify high concentrations and the area occupied by successive catch weight thresholds was used to identify aggregations. These analyses were performed for each of the five biogeographic zones of eastern Canada. The largest sea pen fields were found in the Laurentian Channel as it cuts through the Gulf of St. Lawrence, while large gorgonian coral forests were found in the Eastern Arctic and on the northern Labrador continental slope. Large ball-shaped Geodia spp. sponges were located along the continental slopes north of the Grand Banks, while on the Scotian Shelf a unique population of the large barrel-shaped sponge Vazella pourtalesi was identified. The latitude and longitude marking the positions of all tows which form these and other dense aggregations are provided along with the positions of all tows which captured black coral, a non-aggregating taxon which is long-lived and vulnerable to fishing pressures. These polygons identify large gorgonian coral fields from the broader distribution of large gorgonian corals in the region as sampled by Western II A trawl gear in the Scotian Shelf biogeographic zone. A 0.5 kg minimum threshold for the large gorgonian coral catch was identified as the weight that separated the large gorgonian field habitat from the broader distribution of large gorgonian corals with these research vessel tow data and gear type.

Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map. Manitoba's forest boundaries datasets in 2021. This data is used within Manitoba's Five Year Report on the Status of Forestry, 2016 - 2021 story map.  The forest boundaries included represent forest sections, forest management units, provincial forests and forest management license areas.