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We have found 10 datasets for the keyword " inundation". You can continue exploring the search results in the list below.
Datasets: 103,380
Contributors: 42
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10 Datasets, Page 1 of 1
Dynamic Surface Water Maps of Canada from 1984-2023 Landsat Satellite Imagery
Knowledge of the location of Earth’s surface water in time and space is critical to inform policy decisions on environment, wildlife, and human security. Dynamic surface water maps generally represent water occurrence, also referred to as inundation frequency, depicting the percentage of valid observations when water is detected at the surface. The location and duration of surface water varies from areas of permanent water with 100% inundation frequency where water is always observed, to areas of permanent land with 0% inundation where water never occurs. Between these two extremes are areas of ephemeral water that experience periodic flooding with inundation frequencies between 0-100%. National-scale dynamic surface water information was generated for years 1984-2023 at 30m spatial resolution from the historical Landsat archive over Canada. The complete dataset consists of annual water maps and derived products including inundation frequency and inter-annual wetting and drying trends calculated using per-pixel logistic regression. The complete dataset enables an assessment of the timing, duration, and trends towards wetting or drying at regional to national scales.Associated publication:https://www.sciencedirect.com/science/article/pii/S0034425722002358
Port of Saint John intertidal water level and temperature (2020-2022)
The Coastal Environmental Baseline Program is a multi-year Fisheries and Oceans Canada initiative designed to work with Indigenous and local communities and other key parties to collect coastal environmental data at six unique sites across Canada, including the Port of Saint John (New Brunswick). The overall purpose of the Program is to collect localized ecological data in these areas to build a better baseline understanding of marine ecological conditions. The Maritimes region has developed a physical oceanography project to align with the interests and data needs of local communities and stakeholders. Starting in 2020, data describing the depth and temperature of tidal flood waters have been collected at a series of intertidal locations in the Port of Saint John vicinity, to characterize high marsh flood tides and water level fluctuations near the Courtenay Bay causeway. Inundation by marine waters in high marsh areas is typically limited to spring tides, while the water level in Courtenay Bay is influenced by anthropogenic infrastructure (e.g. causeway, tide gates). The resulting data can enhance studies ranging from coastal vulnerability and resilience to salt marsh morphodynamics, by quantifying the frequency, amplitude and duration of tidal inundation. Data were collected using Hobo U20-001-02 water level loggers, which were deployed inside stilling wells constructed from 15-inch lengths of perforated ABS pipe (2¼” diameter). The stilling wells were sunk to a depth of 6 inches below ground, with the water level logger suspended inside the well from a bolt near the top. The logger was positioned with a rigid wire such that the measurement volume was equal to ground level, while allowing the logger to be easily removed for downloading and precisely replaced at the measurement location. Loggers were accessed 2-3 times per year to download, and were removed during the winter months. Data have been compensated for changing atmospheric pressure using the Barometric Compensation Tool in HobowarePro (version 3.7.21) and barometric pressure data collected from a dry location during the study period. The resulting water level is reported in meters, and is relative to the elevation of the water level logger (e.g. above ground level).Citation: Port of Saint John intertidal water level and temperature (2020-2022). Coastal Environmental Baseline Program. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. XX-XX-2024
Medium Resolution Digital Elevation Model (MRDEM) - CanElevation Series
**ATTENTION! The files in this dataset are designed for streaming, not downloading. For the best experience, please follow the instructions available in the resources.**In replacement of the former Canadian Digital Elevation Model (CDEM) that is no longer supported, the Medium Resolution Digital Elevation Model (MRDEM) product is a multi-source product that integrates elevation data from the Copernicus DEM** acquired during the TanDEM-X Mission (AIRBUS, 2022), and the High Resolution Digital Elevation Model data derived from airborne lidar. This product provides a complete, 30 meters resolution, nationwide coverage for Canada. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived products. The spatial coverage extends into the USA, where needed, to provide coverage for cross-border watersheds in support of hydrological studies and applications. The MRDEM-30-DSM is partially based on the GLO-30 version of the Copernicus DEM** (hereafter named GLO-30). Since elevation values from the GLO-30 are referenced to the EGM2008 geoid model, they were transformed to the Canadian Height Reference System of 2013 (CGVD2013), using the CGG2013 geoid model. Where available, the MRDEM-30-DSM integrates surface data from the lidar-derived HRDEM mosaic, resampled from 1 m to 30 m. The process to generate the MRDEM-30-DTM is more complex. Where available, the HRDEM Mosaic derived from lidar was used since it already provides reliable terrain elevation values. The HRDEM Mosaic data used was resampled from 1m to 30m. Elsewhere, the processing workflow combines a forest removal model and a settlement removal model that is applied to the GLO-30 values in order to estimate the terrain elevation values. Both datasets are projected to Canada Atlas Lambert NAD83 (CSRS) (EPSG:3979).The MRDEM is referenced to the CGVD2013 which is the reference standard for orthometric heights across Canada.The product Medium Resolution Digital Elevation Model (MRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan.** This product was in part produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH 2014- 2018 provided under COPERNICUS by the European Union and ESA; all rights reserved.The organisations in charge of the Copernicus program by law or by delegation do not incur any liability for any use of the Copernicus WorldDEM-30.
Ontario Dam Inventory
The Ontario Dam Inventory (ODI) is an inventory of medium and large dams throughout Ontario. It uses a point-based system (x, y location) to identify each dam location. The ODI does not contain: * small dams * small water control structures * beaver dams * water crossings * road embankments * locks * falls * rapids * culverts Each dam location has an identifier that can be used to link to other dam information databases.
Flood zones
Areas that may be occasionally flooded.attributs:ID - Unique IdentifierMunicipality - Municipality CodeType - Type of areas according to the recurrence of flooding**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Canadian Extreme Water Level Adaptation Tool (CAN-EWLAT)
Extreme water level along the marine coastline is a result of a combination of storm surge, tides, and ocean waves. Future projections of climate change in the marine environment indicate that rising sea level and declining sea ice will cause changes in extreme water levels, which will impact Canada's coastlines and the infrastructure in these areas. Understanding these changes is essential for developing adaptation strategies that can minimize the harmful effects that may result.CAN-EWLAT is a science-based planning tool for climate change adaptation of coastal infrastructure related to future water-level extremes and changes in wave climate. The tool includes two main components: 1) vertical allowance and 2) wave climate. CAN-EWLAT was developed primarily for DFO Small Craft Harbours (SCH) locations, but it should prove useful for coastal planners dealing with infrastructure along Canada’s ocean coastlines.Cite this data as: Greenan B. Canadian Extreme Water Level Adaptation Tool (CAN-EWLAT) Published June 2022. Oceans Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.
National Initiative for Orphan and Abandoned Mines (INMOA)
National Initiative for Orphan and Abandoned Mines (INMOA)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
NTDB Correction Matrices, 2003-2009
This collection is a legacy product that is no longer maintained. It may not meet current government standards. The correction matrices for the National Topographic Data Base (NTDB), also known under the acronym CORMAT, are products derived from the planimetric enhancement of NTDB data sets at the 1:50 000 scale. The correction matrix enables users to enhance the geometric accuracy of the less accurate NTDB. The matrix is a set of points arrayed on a regular 100-m grid. Each point describes the planimetric correction (DX, DY) to be applied at this location. The position of the points is given in UTM (Universal Transverse Mercator projection) coordinates based on the North American Datum of 1983 (NAD83) . Each file constitutes a rectangular area covering the entire corresponding NTDB data set. Its delimitation corresponds more or less to National Topographic System (NTS) divisions at the 1:50 000 scale. All NTDB data sets at the 1:50 000 scale whose original accuracy was less than 30 m can thus be geometrically corrected. A CORMAT data set contains a list of coordinates and the corresponding corrections to be applied in the form X Y DX DY.Related Products: [National Topographic Data Base (NTDB), 1944-2005](https://open.canada.ca/data/en/dataset/1f5c05ff-311f-4271-8d21-4c96c725c2af)
Residual material collection calendar (HackQc 2018)
The residual materials collection calendar distributed according to the partners' standard.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Record - S1A-EW-GRDM-1SDH-20240107T144731-20240107T144831-052002-0648C0-1AAF-Sentinel-1
The Sentinel mirror is maintained by the Government of Canada through the Copernicus collaborative ground segment program as well as EUMETSAT. Data is made available as quickly as possible based on Canada coverage availability at the source. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
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