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We have found 968 datasets for the keyword " géosciences". You can continue exploring the search results in the list below.
Datasets: 106,566
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968 Datasets, Page 1 of 97
Geoscientific
GEO - Geological and geophysical (geoscientificInformation)The earth sciences. For example, resources describing geophysical features and processes; minerals; the composition, structure, and origin of the earths rocks; earthquakes; volcanic activity; landslides; gravity information; soils; permafrost; hydrogeology; and erosion
Areas of Natural and Scientific Interest
The dataset identifies the location and types of Areas of Natural and Scientific Interest (ANSIs) that are commonly used in maps for resource management purposes. Official GEO title: ANSI
Bathymetric compilation for Scotian Shelf and Newfoundland-Labrador Shelves bioregions, offshore Atlantic Canada
The Marine Geoscience for Marine Spatial Planning (MGMSP) program, implemented byNatural Resources Canada (NRCan), is an initiative with the goal of offering innovativeregional geoscience products to support the Department of Fisheries and Oceans (DFO) intheir Marine Spatial Planning endeavors. To develop spatial management plans for variousexpansive bioregions across Canada, the DFO has undertaken the task of creatingcomprehensive ocean management strategies. Presently, the MGMSP program isconcentrating its efforts on two significant bioregions, namely the Scotian Shelf andNewfoundland and Labrador Shelves bioregions.In pursuit of this objective, the work presented in this report has focused on theassimilation and gridding of numerous disparate bathymetry datasets sourced fromauthoritative and reliable channels. The purpose of this comprehensive data gatheringapproach is to establish a unified bathymetric grid, with a consistent spatial resolution,which can be utilized in both oceanographic modeling and geological interpretation. Bycollating information from a diverse range of sources, we aim to create a comprehensiveand reliable foundation that will enable accurate and informed decision-making in the fieldof marine spatial planning, as well as enhance the accuracy and reliability of subsequentanalyses and simulations.
MTA - Mineral, Placer and Coal Tenure Spatial View
This is the spatial view used by Mineral Titles Online (MTO) on the mineral, placer and coal viewers. The spatial view combines the polygon information with attribute information for each title. Contains sub-surface title data in British Columbia for: - mineral claims, mining leases, mineral claim applications - placer claims, placer leases, placer claim applications - coal license applications, coal licenses, coal leases
Geochronology
Geochronology is a discipline of geoscience which measures the age of earth materials and provides the temporal framework in which other geoscience data can be interpreted in the context of Earth history. This knowledge helps to answer questions such as when did a volcano last erupt, what is the rate of crustal uplift in a specific area, are rocks at one gold prospect the same age as those at another.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Terrestrial Ecosystem Mapping (TEM) Detailed Polygons with Short Attribute Table Spatial View
Terrestrial Ecosystem Mapping (TEM) Detailed Polygons (STE_TEM_ATTRIBUTE_POLYS_SVW) contains TEM inventory polygons with key and amalgamated (concatenated) attributes derived from the Resource Inventory Standards Committee (RISC) standard attributes. This layer is derived from the [STE_TEI_ATTRIBUTE_POLYS_SP](https://catalogue.data.gov.bc.ca/dataset/f2cd2cc3-5f58-481c-bf3c-64934acb6fad) layer by filtering on the PROJECT_TYPE attribute. Project types include: TEM, NEM, TEMNSS, NEMNSS, TEMPRE, NEMPRE, TEMSEI, TEMSET, TEMTSM, TEMWHR, TEMSDM, TEMPRW, NEMPRW, NEMSEI and NEMWHR. TEM divides the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. TEM methods include manual air photo interpretation supported by selective field checking. TEM Detailed Polygons should be used in conjunction with [TEM Project Boundaries](https://catalogue.data.gov.bc.ca/dataset/b6b86630-26c0-4b6d-a4b0-6633d7f00c7a) which contain boundaries (study areas) and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., reports, polygon datasets, plotfiles, legends). TEM inventory polygons with full RISC attributes can be accessed through the [Terrestrial Ecosystem Information (TEI) Data Distribution Packages](https://catalogue.data.gov.bc.ca/dataset/8fd15e4e-e7b1-4566-81d1-1ff8947bfd46). **Current version**: v12 (2026-06-22)
Tree Species (2019)
High-resolution map of leading tree species distribution for Canada’s forested ecosystems (2019). Leading tree species map produced from a 2019 Landsat image composite, geographic and climate data, elevation derivatives, and remote sensing derived phenology following the framework described in Hermosilla et al. (2022). Regional classification models were generated based on Canada’s National Forest Inventory using a 150x150 km tiling system. The leading tree species are defined by representing the most voted tree species from the Random Forests classification models (i.e. the class with the highest class membership probability).The data represents leading tree species of Canada's forested ecosystems in 2019. An image compositing window of August 1 ± 30 days was used to generate the best-available-pixel (BAP) image composites utilized as source data for the classification.The science and methods developed to generate the information outcomes shown here, that track and characterize the history of Canada’s forests, were led by Canadian Forest Service of Natural Resources Canada, developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS), partnered with the University of British Columbia, augmented by processing capacity from Digital Research Alliance of Canada.For an overview on the data, image processing, and methods applied, as well as information on independent accuracy assessment of the data, see Hermosilla et al. (2022) https://doi.org/10.1016/j.rse.2022.113276When using this data, please cite as: Hermosilla, T., Bastyr, A., Coops, N.C., White, J.C., Wulder, M.A., 2022. Mapping the presence and distribution of tree species in Canada’s forested ecosystems. Remote Sensing of Environment 282, 113276.
Forest Elevation Covariance (2022)
This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m.It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management.For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018).Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)
Assessment Report Geochemistry
The Yukon Geological Survey stores a significant amount of geological information gathered by exploration companies in compliance with the Quartz Mining Act. This information is primarily contained in assessment reports (AR). Since 1920, more than 8000 hardrock assessment reports have been collected, with more than 6000 of these containing geochemical data on surficial samples (e.g., soil, rock, stream sediment, and vegetation). The sheer volume and historical depth of these data provide valuable insight into the mineral potential of the Yukon. Exploration companies rely on data from ARs to search for exploration targets. To aid exploration companies, YGS has developed this database to consolidate geochemical data extracted from assessment reports. This database, the Geochemical Assessment Report Data Extracted database (GARDEd), was created by extracting and compiling data from more than 300 assessment reports. GARDEd was initially populated with data from samples within a 75 km radius of the Casino deposit to evaluate the data extraction procedures and assess the feasibility of the database. Data capture focused on recent ARs because these were available in digital format. The initial release of this database contains approximately 10% of the geochemical data from surface samples within Yukon ARs.YGS encourages users to send feedback to [geology@yukon.ca](mailto:geology@yukon.ca) to assess the usefulness of the dataset and determine how much effort should be invested to capture older, non-digital ARs.Distributed from [GeoYukon](https://mapservices.gov.yk.ca/GeoYukon/) by the [Government of Yukon](https://yukon.ca/) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Atlas of Canada - Wireless Data Network
The Atlas of Canada’s Wireless Data Network map illustrates the availability of LTE and 5G wireless data service across Canada in 2024. It features an inset map and a bar graph that provide additional insights. The inset map shows the percentage of population in each province with access to 5G service. The bar graph shows the percent of population without access 5G service by year, dating back to 2020.The Atlas of Canada Wireless Data Network map is shown at a scale of 1:6 000 000. It is part of the new Atlas of Canada series, which features a shared look and feel across all map products to ensure consistency in design and layout. This map supports the Communication and Transportation theme, one of five core themes featured in the renewed Atlas of Canada web presence at atlas.gc.ca. The common design helps make Atlas of Canada products easier to read, compare, and use together across the Atlas collection.Use the Atlas of Canada site to find places, digital maps, facts, geographical information and learning resources about Canada.Source: Canadian Radio-television and Telecommunications Commission (CRTC), 2024.Current trends - Mobile wireless. https://crtc.gc.ca/eng/publications/reports/PolicyMonitoring/mob.htmIf you have questions about CRTC data, e-mail info@crtc.gc.ca.Produced by the Canada Centre for Mapping and Earth Observation, the Geoscience and Earth Monitoring Sector, Natural Resources Canada. 2025.
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