Land cover mapping of the St. Lawrence Lowlands, circa 2014
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Since 1988, the governments of Canada and Quebec have been working together to conserve, restore, protect and develop the St. Lawrence River under the St. Lawrence Action Plan (SLAP). One of the projects identified under the theme of biodiversity conservation is the development of an integrated plan for the conservation of the natural environments and biodiversity of the St. Lawrence River. The identification of priority sites for conservation has been the first step of this planning exercise. Conservation planning of natural environments requires a reliable, accurate and up-to-date image of the spatial distribution of ecosystems in the study area. In order to produce an Atlas of Priority Sites for Conservation in the St. Lawrence Lowlands, an updated cartography of the land cover of this vast territory was undertaken. This project required obtaining reliable information on the natural environments of the St. Lawrence Lowlands. Although several land cover mapping projects have been conducted for specific types of habitats, it was particularly important to obtain a homogeneous product that would cover the entire territory and that would provide the most detailed information on its various thematic components: agricultural, aquatic, human-modified and forest environments, wetlands as well as old fields and bare ground. The methodology used to produce the land cover mapping of the St. Lawrence Lowlands thus relied mainly on combining and enhancing the best existing products for each theme. This project was made in collaboration with MDDELCC as part of the St. Lawrence Action Plan (SLAP).
Annual Crop Inventory 2023
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In 2023, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery for all Canadian provinces, in support of a national crop inventory. This year we again produced a map of the agricultural regions in the Yukon Territory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8, Landsat-9, Sentinel-2), and radar (RCM) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by: provincial crop insurance companies in Alberta, Saskatchewan, Manitoba, & Quebec; point observations from the PEI Department of Environment, Water and Climate Change; and data collection supported by our regional AAFC Research and Development Centres in St. John's, Kentville, Fredericton, Guelph, Summerland and Whitehorse. New this season, Forest Fire Perimeter Estimate polygons from Natural Resources Canada’s Canadian Forest Service were used to show burned areas of landcover. (Class - 60).
Annual Crop Inventory 2013
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In 2013, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) repeated the process of generating annual crop inventory digital maps using satellite imagery to for all of Canada, in support of a national crop inventory. A Decision Tree (DT) based methodology was applied using optical (Landsat-8) and radar (RADARSAT-2) based satellite images, and having a final spatial resolution of 30m. In conjunction with satellite acquisitions, ground-truth information was provided by provincial crop insurance companies and point observations from the BC Ministry of Agriculture and our regional AAFC colleagues.
Survey Boundaries
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The documented occurrence data package contains 3 datasets that, in combination, help to provide generalized information about woodland caribou locations and survey areas in Saskatchewan. This information may assist users in their efforts to avoid or mitigate impacts to woodland caribou when operating in woodland caribou range. Generalized locations of caribou use have been provided to better reflect their large home ranges. Absence of a hexagon in an area should not be interpreted as absence of woodland caribou. Please read the Data Guide for important information about this product. Download survey boundaries, telemetry occurrence, and sightings/sign. Download the full package, including data guide here. The Woodland Caribou Documented Occurrence public data product is composed of three shapefiles/feature classes: 1. Woodland Caribou Occurrence - Sighting and Sign 2. Woodland Caribou Occurrence - Telemetry 3. Woodland Caribou Survey Boundaries The two occurrence datasets contain a grid of 18 sq km hexagons (tessellation). The inclusion of a hexagon in the dataset indicates that one or more animal sightings or sign, or telemetry points have been documented in that area. Importantly, lack of caribou occurrence (e.g. no hexagon) should not be interpreted as absence of woodland caribou. Rather, data may not have been collected in these areas or incidental or other observations have not been received. The survey boundaries dataset displays the boundaries of woodland caribou surveys that were completed by or in collaboration with the Ministry of Environment from 2005 to 2024. Boundaries are from multiple sources, and include various types of surveys (fecal pellet collection or telemetry). These boundaries provide context when viewed alongside the woodland caribou occurrence datasets. We expect to see more occurrence locations in areas that have been surveyed. This information may provide context to areas with a seemingly higher number of occurrences. For a full description of the data, please refer to the Data Guide document available for download on the Saskatchewan GeoHub.
Snow Survey measurement locations
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This dataset contains location information for 2 of Ontario’s snow monitoring networks: * Surface Water Monitoring Centre (SWMC) * Snow Network for Ontario Wildlife (SNOW), administered by the Wildlife Research and Monitoring Section Snow course data is collected by: * conservation authorities * Ministry of Natural Resources (MNR) districts * Ontario Power Generation SWMC network data is collected twice a month from November 15 until May 15. SNOW network data is collected once a week from the first snowfall until snowmelt. The Surface Water Monitoring Centre uses the data to assess: * current snow cover * frozen ground conditions * snowpack * potential snowmelt * contributions to streamflow MNR’s Science and Research Branch use the data to: * help manage wildlife species including deer, moose, wild turkey, elk, wolves and coyotes * help ministry resource managers and scientists administer programs and conduct research * inform game management decisions such as white-tailed deer harvest quotas * support flight planning for the Moose Aerial Inventory program
