This app shows short-term (1-month), medium-term (3-month) and long-term (12-month) precipitation conditions for Manitoba. This app shows precipitation conditions for Manitoba.   Precipitation conditions maps are developed to determine the severity of meteorological dryness and are also an indirect measurement of agricultural dryness. Precipitation indicators are calculated at over 40 locations by comparing total precipitation over the time period to long-term (1971 – 2015) medians.  Three different time periods are used to represent: (1) short-term conditions (the past one month), (2) medium-term conditions (the past three months), and (3) long-term conditions (the past twelve months). These 1-month, 3-month, and 12-month indicator values are then interpolated across the province to produce the layers in this web map.Long-term and medium-term precipitation indicators provide the most appropriate assessment of dryness as the short term indicator is influenced by significant rainfall events and spatial variability in rainfall, particularly during summer storms. Due to large distances between meteorological stations in northern Manitoba, the interpolated contours in this region are based on limited observations and should be interpreted with caution.Precipitation data is obtained from Environment and Climate Change Canada, Manitoba Agriculture, and Manitoba Sustainable Development's Fire Program.Pop-ups include the following information:Precipitation Indicator NameDate: Precipitation conditions correspond to the specified date.Class: Precipitation class.  Precipitation conditions classified as follows:Per cent of median greater than 115 per cent is classified as “above normal”. Per cent of median between 85 per cent and 115 per cent is classified as “normal”. Per cent of median between 60 per cent and 85 per cent is classified as “moderately dry”. Per cent of median between 40 per cent and 60 per cent is classified as “severely dry”. Per cent of median less than 40 per cent is classified as “extremely dry”.For more information, please visit the Manitoba Drought Monitor website.

The Ontario Raw Point Cloud (Imagery-Derived) is elevation point cloud data created from aerial photography from the Geospatial Ontario (GEO) imagery program. It was created using a pixel-autocorrelation process based on aerial photography collected by the imagery contractor for the GEO imagery program. The dataset consists of overlapping tiles in LAZ format and is 6.29 terabytes in size. Tiles are overlapping because the pixel-autocorrelation process extracts elevation values from overlapping stereo photo strips. No classification has been applied to the point cloud, however they are encoded with colour (RGB) values from the source photography. This data is for geospatial tech specialists, and is used by government, municipalities, conservation authorities and the private sector for land use planning and environmental analysis. __Related data__ For a product in non-overlapping tiles with a ground classification applied, see the [Ontario Classified Point Cloud (Imagery-Derived)](https://geohub.lio.gov.on.ca/datasets/febf17330adb4100a22738e1684b5feb). Raster derivatives have been created from the point clouds for some imagery projects. These products may meet your needs and are available for direct download. For a representation of bare earth, see [Ontario Digital Elevation Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-elevation-model-imagery-derived/about). For a model representing all surface features, see the [Ontario Digital Surface Model (Imagery-Derived)](https://geohub.lio.gov.on.ca/maps/mnrf::ontario-digital-surface-model-imagery-derived/about).

This dataset contains Lake Ontario prey fish abundance and distribution statistics, collected every year during spring and fall bottom trawl surveys. The New York State Department of Environmental Conservation and the U.S. Geological Survey have conducted annual, spring and fall bottom trawl surveys in U.S. waters of Lake Ontario since 1978. In 2015, the Ministry of Natural Resources and Forestry started contributing to this program to include survey coverage in Ontario waters. The ministry also intermittently conducts mid-water trawling during the summer months on a limited geographic area largely confined to the Eastern Basin. The survey has varied sample distribution across lake depths and jurisdictions. The south shore of Lake Ontario has well-distributed coverage of depths between 8 and 200 metres. Coverage along the north shore is less uniform due to a lack of suitable trawl sites at shallower depths.

Gross merchantable volume - hardwood (GMVHWD) is an expression of merchantable stem hardwood volume (m3) on a per-hectare basis. Available here as a raster (GeoTIF) with a 20 m pixel resolution. Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.  Gross merchantable volume per hectare - hardwood (GMVHWD) is an expression of merchantable hardwood stem volume (m3) on a per-hectare basis. Calculations are made assuming a cut-to-length scenario, and including all stem wood from a 30 cm stump height to an 8 cm top diameter (inside bark), with a minimum bole length of 5.1 m and a minimum log length of 2.7 m for hardwood. GMVHWD is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GMVHWD data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GMVHWD < 25 0 NA NA NA 25 <= GMVHWD < 75 50 63 81 181 75 <= GMVHWD < 125 100 66 101 160 125 <= GMVHWD < 175 150 68 121 138 175 <= GMVHWD < 225 200 71 140 117 225 <= GMVHWD < 275 250 74 160 96 275 <= GMVHWD < 325 300 85 178 79 325 <= GMVHWD < 375 350 123 191 74 375 <= GMVHWD < 425 400 161 203 70 425 <= GMVHWD < 475 450 198 216 66 475 <= GMVHWD < 525 500 236 229 61 525 <= GMVHWD < 575 550 255 226 53 575 <= GMVHWD < 625 600 255 209 40 625 <= GMVHWD < 675 650 255 191 28 675 <= GMVHWD < 725 700 255 174 16 725 <= GMVHWD < 775 750 255 156 3 775 <= GMVHWD < 825 800 253 139 9 825 <= GMVHWD < 875 850 251 121 20 875 <= GMVHWD < 925 900 249 103 31 925 <= GMVHWD < 975 950 246 85 43 975 <= GMVHWD <= 1000 1000 244 67 54 For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.

This is the web experience created using ArcGIS Web Experience Builder to portray the dynamic precipitation maps derived using various weather model data published by the Environment Canada, National Oceanic and Atmospheric Administration and European Centre for Medium-Range Weather Forecasts. It contains various precipitation layers for each of the models depicting various forecast periods / observation periods. The underlying data is updated regularly as the data gets published by ECCC/NOAA/ECMWF as per the publishing frequency. Following are the forecast weather models depicted in this Web Experience : HRDPS Model (High Resolution Deterministic Prediction System - Continental) for 24 and 48 hours of forecast periods. Regional Ensemble Prediction System (REPS) for 72 hours of forecast period hour. Regional Deterministic Prediction System (RDPS) for 84 hours of forecast period hour. Global Deterministic Prediction System (GDPS) for 168 and 240 hours of forecast periods. Global Forecast System (GFS) for 168 hours of forecast period. Global Ensemble Prediction System (GEPS) for 384 hours of forecast period. European Centre for Medium-Range Weather Forecasts for 168 hours of forecast periodAnd following are the observed weather models depicted in this Web Experience :High Resolution Deterministic Precipitation Analysis (HRDPA) with observation periods of the past 1 day, 3 days and 7 days.Special Thanks to Environment and Climate Change Canada, NOAA’s National Centers for Environmental Prediction, European Centre for Medium-Range Weather Forecasts

RURALROAD_OFFICIAL provides the geospatial information of rural municipal road network in the Province of Saskatchewan. It is one of the base layer used to create "Roadseg" layer for Saskatchewan Upgraded Road Network (SURN) and National Road Network RURALROAD_OFFICIAL consists of Rural Municipal (RM) road system in Saskatchewan. RM road system is based on the Dominion Lands Survey. Original geometry of this layer is derived from National Road Network data layer. Rural Municipalities are the responsible of the correctness and currentness of the day and Saskatchewan Ministry of Highways and Infrastructure (MHI) maintained this data layer/table according to the NRN standards. This data layer is based on the Linear Reference System (LRS) concepts. KM_FROM and KM_TO fields store the start point and the end point at Kilometer information of the line segment. Unique Identifiers NID) is associated with each line segment. The "DESRD_PPID" is the combination of RM Number, Project Number and Road Type (224-201-10). RURALROAD_ID auto generated unique ID for each rural road segment. "NID" National Identifier is used to manage the updates between data producer and data users. RURALROAD_OFFICIAL data layer is one of the important data table for SURN, NRN, SASK911, CAR and other applications.

An interactive web map illustrating the future state of Emergency Medical Service (EMS) Facilities in Manitoba outside the Winnipeg Regional Health Authority. An interactive web map illustrating the future state of Emergency Medical Service (EMS) Facilities in Manitoba outside the Winnipeg Regional Health Authority.  The map includes points representing the future locations of EMS facilities.  Polygons representing drive time catchment areas (9, 15, and 30 minutes) for each EMS facility are also shown, including the approximate population served (Statistics Canada 2011 census data) and incident responses (2015/16 data) within each catchment area . Note that this information is only available for rural Manitoba and areas south of 53°N.   Pop-ups for the future EMS Facilities display the following information: Community Name Facility Name Pop-ups for the future catchment areas display the following information: Community Name Facility Name Total Population in 9, 15, and 30 minute night time catchment areas (south of 53°N only) Total Incidents ((2015/16) in 9, 15, and 30 minute night time catchment areas (south of 53°N only)

Land cover imagery for the mixed grassland ecoregion of Saskatchewan with a resolution of 10m. Classification was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery. The goal of this land cover was to distinguish native from tame grasslands, and is classified into several classes: cropland, native grassland, mixed grassland, tame grassland, water, shrubs and trees. Please also refer to the Prairie Landscape Inventory (PLI) - Mixed Grassland Accuracy raster file, which depicts the estimated level of accuracy for this this classification. Download: Here Land cover imagery for the mixed grassland ecoregion of Saskatchewan with a resolution of 10m. Classification was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery. The goal of this land cover was to distinguish native from tame grasslands, and is classified into several classes: cropland, native grassland, mixed grassland, tame grassland, water, shrubs and trees. Badreldin, N.; Prieto, B.; Fisher, R. Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and Machine Learning. Remote Sens. 2021, 13, 4972. https://doi.org/10.3390/rs13244972The Prairie Landscape Inventory (PLI) working team of Habitat Unit in the Fish, Wildlife and Lands Branch, Ministry of Environment aims to develop improved methods of assessing land cover and land use for conservation. Native grassland, in particular, has been one of the most hard to map at risk ecosystems because of difficulty for imagery classification methods to distinguish native from tame grasslands. Improved classification methods will provide valuable information for habitat suitability, identifying high biodiversity potential and invasion risk potential. The classification map has seven (7) classes: 1. Cropland This class represents all cultivated areas with crop commodities such as corn, Pulses, Soybeans, canola, grains, and summer-fallow. 2. Native This class represents the native grassland areas of the Mixed Grasslands, which are composed primarily of native grass species such as the needle grasses (needle and thread, porcupine grass and green needle grass), wheat grasses (slender wheatgrass, western wheatgrass and awned wheatgrass) along with June grass and blue grama grass. Also includes a variety of additional grass and sedge species, forbs such as pasture sage and some non-vascular species such as selaginella or lichens. 3. Mixed This class represents one or more of the followings cases; o A higher heterogenic grassland terrain with a mix of less than 75% native or/and less than 75% tame; o Native or/and tame grassland affected by high abiotic stresses such as soil salinity and drought; o Native or/and tame grassland affected by soil erosion such as water and wind erosions; o A high disturbed area by livestock and human activities; and o A bare terrain with low vegetation cover < 50% coverage in 100 m2 area. 4. TameThis class represents the tame grassland areas that have in most cases been intentionally modified and seeded or planted with an introduced grass species such as crested wheatgrass and smooth brome. Russian wild rye is encountered typically planted in more saline areas. However, in more recent years’ horticultural varieties of various wheatgrass species have also been introduced. Alfalfa and sweet clover are the most commonly encountered introduced forb species. 5. Water This class represents one of the following hydrological forms: o Lakes; o Rivers; o Water ponds; o Streamflow; o Dugouts; and o Lower elevations in irrigated areas. 6. Shrubs (Modified from ISO 19131 Annual Crop Inventory – Data Product Specifications, Agriculture and Agri-food Canada, 2013.)This class represents the predominantly woody vegetation of relatively low height (generally ±2 m). This class may include grass or wetlands with woody vegetation, and regenerating forest. 7. Trees (Modified from ISO 19131 Annual Crop Inventory – Data Product Specifications, Agriculture and Agri-food Canada, 2013.)This class represents predominantly forest areas such as: o Coniferous trees; o Deciduous trees; o Mixedwood area; and o Other trees > 2 m height. Colour Classes: Value Label Red Green Blue 1 Cropland 255 255 190 2 Native 168 168 0 3 Mixed 199 215 158 4 Tame 245 202 122 5 Water 190 232 255 6 Shrubs 205 102 153 7 Trees 38 115 0 Accuracy:Please refer to the Prairie Landscape Inventory (PLI) - Mixed Grassland Accuracy raster file, which depicts the estimated level of accuracy for this classification.

Long-term tenure map (managed forest code 11) used in the Forest Management in Canada, 2020 story map. Long-term tenure map (managed forest code 11) with lands having more than five years volume- or area-based tenure or effectively having the equivalent, such as consistently recurrent commercial forest tenure with associated forest management activity. The Long-term tenure map is used in the Story Map of Forest Management in Canada, 2020 (Aménagement des forêts au Canada, 2020) and includes the following tiled layer:Tile Layer of Long-Term Tenure Managed Forest Code 11: 2020

Gross merchantable volume - total (GMVTOT) is an expression of merchantable stem total volume (m3) on a per-hectare basis. Available here as a raster (GeoTIF) with a 20 m pixel resolution. Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.  Gross merchantable volume per hectare - total (GMVTOT) is an expression of merchantable stem volume (m3) on a per-hectare basis. Calculations are made assuming a cut-to-length scenario, and including all stem wood from a 30 cm stump height to an 8 cm top diameter (inside bark), with a minimum bole length of 5.1 m and a minimum log length of 2.4 m for softwood and 2.7 m for hardwood. GMVTOT is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GMVTOT data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GMVTOT < 25 0 NA NA NA 25 <= GMVTOT < 75 50 63 81 181 75 <= GMVTOT < 125 100 66 101 160 125 <= GMVTOT < 175 150 68 121 138 175 <= GMVTOT < 225 200 71 140 117 225 <= GMVTOT < 275 250 74 160 96 275 <= GMVTOT < 325 300 85 178 79 325 <= GMVTOT < 375 350 123 191 74 375 <= GMVTOT < 425 400 161 203 70 425 <= GMVTOT < 475 450 198 216 66 475 <= GMVTOT < 525 500 236 229 61 525 <= GMVTOT < 575 550 255 226 53 575 <= GMVTOT < 625 600 255 209 40 625 <= GMVTOT < 675 650 255 191 28 675 <= GMVTOT < 725 700 255 174 16 725 <= GMVTOT < 775 750 255 156 3 775 <= GMVTOT < 825 800 253 139 9 825 <= GMVTOT < 875 850 251 121 20 875 <= GMVTOT < 925 900 249 103 31 925 <= GMVTOT < 975 950 246 85 43 975 <= GMVTOT <= 1000 1000 244 67 54For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.