The Canada Centre for Mapping and Earth Observation (CCMEO) has created a 30m resolution radar mosaic of Canada's landmass from the RADARSAT Constellation Mission (RCM). This product highlights different types of radar interaction with the surface, which can assist the interpretation and study of land cover on a national scale. The national mosaic is made up of 3222 RCM images acquired between August 2023 and February 2024. (Credit: RADARSAT Constellation Mission imagery © Government of Canada [2024]. RADARSAT is an official mark of the CSA.)

GeoSearch is an interactive mapping application that makes it easy to find places in Canada, see them on a map, and get basic geographic and demographic data for them.

Reference maps illustrate the location of census standard geographic areas for which census statistical data are tabulated and disseminated. The maps display the boundaries, names and unique identifiers of standard geographic areas, as well as physical features such as streets, railroads, coastlines, rivers and lakes. Reference maps include: Standard Geographical Classification (SGC) Census tracts Federal electoral districts

Major Drainage Areas (MDA), as portrayed in this map, are part of the Standard Drainage Area Classification (SDAC) which was developed by Natural Resources Canada, in partnership with Statistics Canada, and Environment and Climate Change Canada. A drainage area, as opposed to a drainage basin or watershed, is a unit of statistical aggregation used for reporting purposes based upon drainage patterns and the underlying basins, delimited by a drainage divide. A drainage basin, sometimes called a watershed, is an area where all surface water shares the same drainage outlet. Surface water consists of water flowing on the surface of the earth that develops into larger streams and eventually combines to form a river. The 11 MDAs presented in this map comprise the uppermost level in the drainage area classification system which then divides into 164 sub-drainage areas, and then is further divided into 974 sub-sub-drainage areas. Relief was derived from the merging of two raster data sets, both resampled to 804 metre resolution: - High Resolution Digital Elevation Model (HRDEM) – CanElevation Series - Canadian Digital Elevation Model, 1945-2011 Further information on all these maps can be found on the Atlas of Canada web site atlas.gc.ca.

The Common Attribute Schema for Forest Resource Inventories (CASFRI) is a Canadian forest resource inventory data repository. Forest resource inventory datasets in CASFRI are harmonized to a common data model so that data collected by different agencies following different standards can be used together. Participating provincial, territorial and federal government departments and agencies share current and historical map-based forest resource inventory datasets through CASFRI so that their data are available to users who’s areas of interest span multiple jurisdictions. CASFRI was originally developed by academic researchers (Cumming et al., https://doi.org/10.1139/cjfr-2014-0102). This flavour of CASFRI (CASFRIv5) was developed anew in collaboration with academic researchers at the University of Laval to provide a government version of CASFRI that is findable, accessible, interoperable, and reusable. It uses the most up-to-date forest inventory data provided by participating provincial, territorial, and federal government departments and agencies. CASFRIv5 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org).

RADARSAT-1, in operation from 1995 to 2013, is Canada's first earth observation satellite. Developed and operated by the Canadian Space Agency (CSA), it has provided essential information to government, scientists and commercial users. Ultimately, the RADARSAT-1 mission generated the largest synthetic-aperture radar (SAR) data archive in the world. In April 2019, 36,000 images were made accessible through the Earth Observation Data Management System (eodms-sgdot.nrcan-rncan.gc.ca). A heatmap of processed images was produced by the CSA and helps visualize the density of images available by mapped sector during the RADARSAT-1 mission.

Deforestation in Canada is estimated with the National Deforestation Monitoring System (NDMS). Details describing this process are published here: https://cfs.nrcan.gc.ca/publications?id=36042. Deforestation is the direct human-induced conversion of forested land to non-forested land use. Canada’s National Deforestation Monitoring System (NDMS) was designed and implemented to provide information needed by Canada to meet its obligation under the United Nations Framework Convention on Climate Change (UNFCCC) to report the areas affected annually by deforestation. It also provides important information for the public, government policy makers, and scientists. To provide information about the amount of deforestation and why, where, and when it occurred in Canada, the NDMS uses deforestation mapped on a system of sample areas. The mapping is based on visual interpretation of satellite imagery supported by available ancillary information, such as high resolution imagery, forest inventory, and industrial databases, and informed by records-based information and expert knowledge. Accurate detection and mapping of deforestation events involves manual interpretation of satellite remote sensing imagery by specialized analysts. A key factor in the mapping is to distinguish deforestation from other forest cover losses that occur in Canada. The NDMS was designed to make use of all available lines of evidence and be flexible to accommodate variable resourcing levels. This system has been producing national deforestation monitoring results annually since 2006. The flexibility of the NDMS’s design makes it possible to adapt to future changes in data and resource availability, and positions the program well for sustained operational delivery into the future.

Multi-Agency Ground Plot (MAGPlot) database is a Canadian forest ground-plot data repository. Different agencies, including National Forest Inventory (NFI) and 12 Canadian jurisdictions (AB, BC, MB, NB, NL, NS, NT, ON, PE, QC, SK, and YT), contributed forest ground plot datasets in their original format into MAGPlot. The datasets delivered to us were quality controlled, standardized, and harmonized, and integrated into a single, centralized, and analysis-ready format database. The current version (MAGPlot_v1) uses the historical and most up-to-date measurements provided by the collaborators. Several datasets are excluded from this release due to pending agreements and ongoing processing, these include Manitoba, Newfoundland, Saskatchewan and Nova Scotia. The standardized and harmonized dataset were presented in eight different data tables (four sites and four trees’ measurements tables) in a relational database schema. Sites’ related tables include information pertaining to sites’ geographical locations, treatments, and disturbances while trees’ information contain information related to measured tree attributes, including trees’ biophysical parameters, tree growth, species, status, and health conditions. While all contributors provided large and small tree plot measurements, only NFI, AB, MB and SK provided regeneration plot measurements. MAGPlot’s main objective is to present the data in a findable, accessible, interoperable, and reusable format for a pan-Canadian forest research. The future versions are expected to include more tables, new attributes, updated and/or new measurements. MAGPlot_v1 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org). Ground plot sites requiring a signed data use agreement with the contributing jurisdiction have been excluded from this service, contact nfisupport@nfis.org for to arrange access to those sites. Jurisdictions/Groups excluded from this service: Alberta, Manitoba, National Forest Inventory, Nova Scotia, Northwest Territories.

The Census Program Data Viewer (CPDV) is an advanced web-based data visualization tool that helps make statistical information more interpretable by presenting key indicators in a statistical dashboard. It also enables users to easily compare indicator values and identify relationships between indicators.

A thematic map shows the spatial distribution of one or more specific data themes for standard geographic areas. Thematic maps include: Population Age Income Language of work Instruction in the official minority language