The maps show a multiyear ground deformation rate caused by small-scale deformation processes in Canada, measured in meters per year. Horizontal-east and vertical deformation components were computed from data acquired on ascending and descending orbits. This horizontal-east/vertical 2D decomposition is approximate and assumes constant viewing geometry and the absence of horizontal-north deformation.In the line-of-sight (LOS) map computed from ascending orbit data, a negative signal approximately corresponds to either subsidence or eastward motion, while a positive signal corresponds to uplift or westward motion. In the LOS map computed from descending orbit data, a negative signal approximately corresponds to either subsidence or westward motion, while a positive signal corresponds to uplift or eastward motion.In the horizontal-east map, a negative signal corresponds to westward motion, while a positive signal corresponds to eastward motion. In the vertical map, a negative signal indicates subsidence, while a positive signal indicates uplift.The maps were calculated from Sentinel-1 Synthetic Aperture Radar data collected between 2017 and 2024 during the snow-free season. Interferometric analysis of Sentinel-1 data was performed using GAMMA Software (https://www.gamma-rs.ch), and the long-term deformation rate was computed with the Multidimensional Small Baseline Subset (MSBAS) Software Version 10 (https://doi.org/10.1080/07038992.2024.2424753) at the Canada Centre for Mapping and Earth Observation, Natural Resources Canada.Long-wavelength signals caused by postglacial rebound and tectonic motion were filtered to enhance the visibility of small-scale deformation processes, such as those originating from landslides and mining. Field studies have confirmed only a few of these processes to date. The maps are expected to contain processing artifacts, which will be addressed in future work.References:Samsonov, S. V., & Feng, W. (2023). Deformation Retrievals for North America and Eurasia from Sentinel-1 DInSAR: Big Data Approach, Processing Methodology and Challenges. Canadian Journal of Remote Sensing, 49(1). https://doi.org/10.1080/07038992.2023.2247095Samsonov, S. V. (2024). Multidimensional Small Baseline Subset (MSBAS) Software for Constrained and Unconstrained Deformation Analysis of Partially Coherent DInSAR and Speckle Offset Data. Canadian Journal of Remote Sensing, 50(1). https://doi.org/10.1080/07038992.2024.2424753Limitation of Liability :The information contained on this website is provided on an “as is” basis and Natural Resources Canada makes no representations or warranties respecting the information, either expressed or implied, arising by law or otherwise, including but not limited to, effectiveness, completeness, accuracy or fitness for a particular purpose. Natural Resources Canada does not assume any liability in respect of any damage or loss based on the use of this website. In no event shall Natural Resources Canada be liable in any way for any direct, indirect, special, incidental, consequential, or other damages based on any use of this website or any other website to which this site is linked, including, without limitation, any lost profits or revenue or business interruption.

Description of the submarine morphology and characteristics of the sediments (lithology, grain size, mineralogy, and chemistry) of the Saguenay fjord, the lower Estuary and Gulf of St. Lawrence.The layer contains a synthesis of geological and geochemical data collected and interpreted over 10 years and is accompanied by detailed bathymetric and surface sediment maps. Most of this study deals with the geomorphology, surface sediments (lithology, mineralogy, and chemistry), and present depositional conditions, but several studies have also been made of the bedrock geology and the stratigraphy of the unconsolidated sediments.PurposeThese studies are regional and of a reconnaissance nature in the sense that they have been designed to obtain acoustical and sampling data on the morphology and basic properties of the sediments from the whole Gulf. This approach was used to provide a broad appraisal of the sedimentary environment of the Gulf and its late-glacial and postglacial history.Additional InformationUnknown date of numeric version.Acoustical and sampling data were obtained in the River and Gulf of St. Lawrence on board of different boats over the years. Sounding lines and sample stations were selected initially on the basis of submarine morphology and later in combination with a preliminary sedimentological map as the sea floor data accumulated.More specifically, acoustical data on the topography and nature of the sea floor was obtained from echosounding and continuous seismic profiling. Sounding records were studied, interpreted, and reduced manually in most cases to a scale suitable for plotting and presentation. The information on the continuous seismic records was first interpreted visually and the reduced to constant scale with the aid of a pantograph with independently vertical and horizontal scales.Also, about 1500 sediments samples have been collected from various parts of the Gulf to obtain a regional coverage of the sedimentary environment in the area. The sediment sample were sorted and split after their water content had been determined. Mineralogical analyses were carried out after separation into a heavy and light fraction. The light minerals were identified by a combined method of staining and the use of immersion liquids. For more details on consulted documents and their limit, see the following report:Loring, D. H., and D. J. G. Nota. 1973. Morphology and sediments of the Gulf of St. Lawrence. Bull. Fish. Res. Bd. Can. 182. 147 p. + 7 charts.

Sea level rise increases coastal flooding in many areas of Canada. The Canadian Extreme Water Level Adaptation tool has been developed to accommodate sea level rise. The infrastructure needs to be built higher in order to reduce the risk of flooding. The vertical allowance is the recommended height that the infrastructure to be raised in future years relative to year 2010. The vertical allowance depends on (1) statistics of historical storm surge and tides, and (2) the best estimate and associated uncertainty of future sea level rise. The vertical allowance preserves the frequency of flooding events at some future time under uncertain sea level rise. Vertical allowances are provided for scenarios based on the fifth assessment report (AR5) of IPCC for the period of 2020-2100 and the sixth assessment report (AR6) of IPCC for the period of 2020-2150.Cite this data as: Zhai, L., Greenan, B., Perrie, W. Data of:Vertical allowance gridded dataset for Canada.Published: February 2024. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.https://open.canada.ca/data/en/dataset/5c164079-9785-42fa-8fa5-d886ccbae3b3

The Yukon is underlain by a great variety of rock types ranging in age from Early Proterozoic to Recent. The various rock types are characterized by different magnetic intensity and this map show those variations at the regional scale, with highly magnetic rocks represented by warm colours and non-magnetic rocks shown in cool colours. The First Vertical Derivative magnetic map highlights the magnetic intensity of near-surface features in the Earth's crust. This magnetic compilation was extracted from the compilation of Oneschuk et al. (2019). The data was gridded at 50 m.Magnetic data for Yukon can be obtained from: [http://gdrdap.agg.nrcan.gc.ca/](http://gdrdap.agg.nrcan.gc.ca/)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)

Zooplankton and ichthyoplankton data are archived in the Institute of Ocean Sciences (IOS) Zooplankton Database. The data available spans from 1980 to 2018 and is an extraction of vertical net hauls as biomass by major taxa collected during surveys conducted in the oceanic and coastal waters of the Northeast Pacific Ocean. The majority of vertical net hauls in this data set were collected from 10 metres above the sea floor or an approximate maximum depth of 250 metres. For further data requests, please use the contact information provided.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. Canada's conserved areas indicators report the amount and proportion of Canada's terrestrial (land and freshwater) and marine area that is recognized as conserved. Well-managed conserved areas are one way to protect wild species and their habitats for present and future generations. Habitat conservation is a measure of human response to the loss of biodiversity and natural habitat. As the area conserved in Canada increases, more lands and waters are withdrawn from direct human development stresses, thereby contributing to biodiversity conservation and improving the health of ecosystems. In turn, healthy ecosystems provide benefits such as clean water, mitigation of climate change, pollination and improved human health. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

The maps show a multiyear ground deformation rate caused by small-scale deformation processes in Canada, measured in meters per year. Horizontal-east and vertical deformation components were computed from data acquired on ascending and descending orbits. This horizontal-east **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The maps show a multiyear ground deformation rate caused by small-scale deformation processes in Canada, measured in meters per year. Horizontal-east and vertical deformation components were computed from data acquired on ascending and descending orbits. This horizontal-east **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The maps show a multiyear ground deformation rate caused by small-scale deformation processes in Canada, measured in meters per year. Horizontal-east and vertical deformation components were computed from data acquired on ascending and descending orbits. This horizontal-east **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**

The maps show a multiyear ground deformation rate caused by small-scale deformation processes in Canada, measured in meters per year. Horizontal-east and vertical deformation components were computed from data acquired on ascending and descending orbits. This horizontal-east **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**