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    This map of the first vertical derivative of the magnetic field was derived from data acquired during an aeromagnetic survey carried out by Goldak Airborne Surveys during the period of May 16 to July 1, 2009. The data were recorded using a split-beam cesium vapour magnetometer mounted in the tail boom of a Piper Navajo aircraft. The nominal traverse and control line spacings were 400 m and 2400 m, respectively, and the aircraft flew at a nominal terrain clearance of 150 m.

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    Biophysical or ecosystem mapping is built on the principle that vegetation composition and distribution responds in predictable ways to specific abiotic terrain conditions. Terrain (surficial geology) mapping and subsequent stratification into ecosystem units forms the basis for local-scale biophysical mapping. Biophysical mapping is therefore an integrated system of mapping which describes both terrain conditions (surficial material type, slope, landscape position, drainage and permafrost conditions) and ecological factors (vegetation community and structure, and soil moisture and nutrient regimes). The Watson Lake area was selected for a pilot biophysical mapping project because of imminent resource activities in southeast Yukon. Local-scale (1:50 000) biophysical mapping was carried out in the 105A/2 NTS map area during 2004 in cooperation with Yukon Environment, Yukon Geological Survey and Cryogeographic Consulting. Analysis of hard copy 1:40 000-scale aerial photographs was conducted to outline preliminary terrain (surficial geology) and ecosystem units. Four weeks of summer field work was then conducted to ground truth the preliminary aerial photograph interpretation and develop a more detailed ecological classification system for southeast Yukon. Following the field season, the corrected mapping was digitized using stereo-georeferenced high-resolution scanned aerial photographs in Microstation Diap Viewer. Subsequent geographic information system (GIS) manipulation was performed in ArcGIS 9.0. Part of the purpose of the project was to develop a methodology for performing biophysical mapping using these technological tools.

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    This application allows users to locate Yukon lots that are currently for sale by Yukon government.

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    This data set provides geographic information for Health PEI facilities (Hospitals, Cancer Treatment Centres, Palliative Care Centre, Primary Care Networks, and Public Nursing Homes.

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    A synthesis of available background data on the types and extent of anthropogenic disturbances on this shoreline as a well as to understand the types and amount of remaining natural shoreline features.

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    Land cover imagery for the moist 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 in Google Earth Engine platform. The goal of this land cover was to distinguish native from tame grasslands, and is classified into several classes: native grassland, tame grassland, mixed grassland, cropland, woody plants, water, and urban area. Download: Here The Prairie Landscape Inventory (PLI) working team of Habitat Unit in the Fish and Wildlife 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: corn, pulse, soybeans, canola, grains, summer-fallow. 2. Native grassland This class represents the native grassland areas of the Moist Mixed Grassland ecoregion, which are composed of at least 75% native grass species, such as the needle grasses, wheatgrasses along with June grass and blue grama grass. Also includes additional sedge species, forbs, and some non-vascular species. Unbroken grassland that is invaded by species like Kentucky bluegrass, crested wheatgrass or smooth brome, such that native cover is less than 75%, is not considered native for the purpose of this project.  3. Mixed grassland This class represent a heterogenic grassland with a mix of less than 75% native grass species or less than 75% tame species.  4. Tame grassland This class represents the tame grassland areas of the Moist Mixed Grassland ecoregion, which are composed of at least 75% seeded or planted species with introduced grasses and forb species such as crested wheatgrass, smooth brome, alfalfa, sweet clover. 5. Water This class represents permanent water locations such as lakes and rivers. 8. Woody plants This class represents the sites dominated by woody vegetation including shrubs and trees with typically more than 20% canopy cover. 9. Urban area This class was masked using urban/developed area class of the Annual Crop Inventory 2020 (Agriculture Agri-Food Canada), and limited within the urban municipality polygons. Colour Classes: Value Label Red Green Blue 1 Cropland 255 255 190 2 Native grassland 168 168 0 3 Mixed grassland 199 215 158 4 Tame grassland 245 202 122 5 Water 190 232 255 8 Woody plants 137 205 102 9 Urban area 128 128 128 Accuracy metrics This model has an overall accuracy of 70.3 per cent. The table below summarizes the user’s accuracy, producer’s accuracy, and F1-score of the model on the validation dataset. Class User’s accuracy (%) Producer’s accuracy (%) F1-score Cropland 74.7 87.1 0.81 Native grassland 61.7 78.3 0.69 Mixed grassland 57.7 26.1 0.36 Tame grassland 66.9 69.8 0.68 Water 96.3 84.4 0.90 Woody plants 81.1 73.2 0.77

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    Flood tactical maps have currently been developed for the English River, Rainy River, Montreal River, Black River, Trent River, Madawaska, Magnetawan, Muskoka, Mississippi Valley, French, Sturgeon and Nippissing watersheds. The purpose of these maps is to show more succinctly the physiography of the region, the individual river watersheds, ongoing monitoring, location of dams, high risk dams/reservoirs and communities. We are no longer updating this data. It is best suited for historical research and analysis.

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    This WebMap comprises of three layers , namely, HRDPA Observed Accumulated Precipitation - Past 1 day, 3 days and 7 days (feature layer) ; HRDPA SubBasin Precipitation Distribution - Past 1 day, 3 day, and 7 days (feature layer) and Supporting Layers (group layer) - Comprising of Main Cities, Nelson River Basin and Basin Boundaries (feature layers). HRDPA is ECCC’s high-resolution precipitation analysis, merging gauge, radar, and HRDPS model data. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.

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    Interactive application overview of the Gunnar Nilsson and Mickey Lammers Research Forest, located just north of Whitehorse, Yukon.

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    Identifies First Nation Reserve boundaries defined by the Legal Surveys Division of Natural Resources Canada.