* These mosaics are the result of an assembly of orthophotographs produced in spring 2023 and 2024. Each image has been positioned geographically taking into account the effect of the relief.* These mosaics are the result of regional partnerships. They are free to download, as they were acquired under an open data license (Creative Commons 4.0).* The territory covers the MRC of Joliette, Montcalm, Matawinie as well as the MRC of D'Autray excluding the city of Lavaltrie.* GeoTIFF associated with a 2 km x 2 km tile cut.* JPEG 2000 associated with division by MRC (regional county municipality).* The spatial resolution is 20 cm.* The image type is natural color.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This map illustrates the terrestrial and marine reliefs of Quebec and surrounding territories, at a scale of 1/2,000,000. Color ranges representing altitude classes and blending offer a summary of the relief and the major physiographic groups of Quebec.This map of the relief of Quebec is available in two versions:* The general map, which illustrates the relief and the borders (GeoTIFF version only);* The toponymic map, which illustrates the relief, some toponyms and borders (GeoTIFF and PDF versions).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The spatial representation for a polygon defining the area of the province defined as west of the Cascade Mountains

GeoAI are buildings, hydrography, forests, and roads automatically extracted using Deep Learning models applied to a source dataset, typically aerial or satellite images. The primary aim of GeoAI is to increase Canada's availability of high-resolution foundational geospatial data for both spatial and temporal coverage.‌The infrastructure and expertise put in place by NRCan enables a rapid, efficient, and scalable data creation process through the use of leading-edge technology and Artificial Intelligence models. Published datasets for a given source can be revisited at a later date as more accurate models are developed and put into production. For now, only static files are available, but as the series develops, new products and services will be added.

This dataset represents the digital compilation of the Mineral Assessment Ground surveys of the Province of Saskatchewan.This dataset represents the digital compilation of the Mineral Assessment Ground surveys of the Province of Saskatchewan.  This data shows Mineral Assessment Work Catalogue: Outlines of areas and descriptions of work submitted for mineral assessment credits (Ground surveys). This is an ongoing assemblage of mineral assessment ground surveys. The data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

This dataset represents the digital compilation of the Mineral Assessment Underground surveys of the Province of Saskatchewan.This dataset represents the digital compilation of the Mineral Assessment Underground surveys of the Province of Saskatchewan.  This data shows Mineral Assessment Work Catalogue: Outlines of areas and descriptions of work submitted for mineral assessment credits (Underground surveys). This is an ongoing assemblage of mineral assessment airborne surveys. The data was created as a file geodatabase feature class and output for public distribution. **Please Note – All published Saskatchewan Geological Survey datasets, including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse.  They are therefore identical and share the same refresh schedule. 

Linear hydrographic network of the City of Rouyn-Noranda. The ditches ofdrainage is not included.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This catalog contains annual 30 m spatial resolution snow dynamics metrics for each snow-year from 2018-2019 to 2023-2024 for all of Canada. We gather all Landsat and Sentinel-2 images collected over Canada and identify the status of each pixel observation on the image collection date: snow (and ice), non-snow (i.e., land, water), unclear (i.e., clouds, shadows). We built an algorithm to calculate snow cover metrics for each pixel during each winter: start date of the first (and biggest) snow period [startF, startB], end date of the last (and biggest) snow period [endL, endB], number of days with snow cover in total (or in the biggest snow period) [lengthT, lengthB], number of snow periods (i.e., separated times with multiple confirmed snow observations) [periods], and a status classification (e.g., continuous snow, snow free) [status]. We do not obtain a clear observation every day because of satellite orbit frequencies and clouds. This means that timing-based metrics are identified by the middle date between two clear observations, with uncertainty quantified as half the length of the gap (i.e., ± days) [startF_u, startB_u, endL_u, endB_u, lengthT_u, lengthB_u].

The Annual Minimum Snow and Ice (MSI) Extent of the Atlas of Canada National Scale Data, are data sets compiled containing annual data from 2000 to present. The data sets were derived from research published by the Canada Centre for Remote Sensing which classified satellite imagery over Canada and neighbouring regions for the continued presence or absence of snow and ice from April 1 to September 20 each year. The Atlas of Canada MSI products consist of a vector dataset and a raster time-series animation application.VECTOR DATASETThe vector dataset has been generalized to display at the scale of 1:1,000,000.TIME-SERIES ANIMATION APPLICATIONThe time-series animation application has not been generalized from its original scale (250 m pixels).The application is disseminated through the Data Cube Platform, implemented by the Canada Centre for Mapping and Earth Observation, Natural Resources Canada using geospatial big data management techniques. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The time-series is also available as a Web Map Service (WMS) and Web Coverage Service (WCS).CREDITSource data provided by Alexander P. Trishchenko, Canada Centre for Remote Sensing, Natural Resources Canada Metadata record: https://open.canada.ca/data/en/dataset/808b84a1-6356-4103-a8e9-db46d5c20fcf

This dataset compiles information and photographs collected at 49 observation stations during a field campaign conducted from July 31 to August 11, 2025, in the central part of the Kivalliq region. It includes the locations of sites where ice-flow indicators were measured, along with their relative chronology where it could be determined in the field.It also includes the locations of till sampling sites collected for geochemical and indicator mineral analyses, as well as sites where boulders and bedrock surfaces were sampled for terrestrial cosmogenic isotope dating.Analytical results and interpretations will be presented in subsequent publications.