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

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

Data represents surface water occurrence frequency (percentage), which describes the frequency for each grid appeared as water in the 30 years time period of 1991 to 2020. The data covers Canada’s entire landmass including all transboundary watersheds, and is at 30-meter spatial resolution. The surface water occurrence frequency is derived using the surface water model of Wang et al. (2023) from all-available monthly water data observed by the Landsat satellites (Pekel et al., 2016). Here, permanent waters are represented by 100%, and permanent land surfaces by 0%, of water occurrence for a 30-meter by 30-meter grid.References:Pekel, J.-F., A. Cottam, N. Gorelick, A.S. Belward, 2016, High-resolution mapping of global surface water and its long-term changes. Nature, 540, 418-422.Wang, S., J. Li, and H. A. J. Russell, 2023, Methods for Estimating Surface Water Storage Changes and Their Evaluations. Journal of Hydrometeorology, DOI: https://doi.org/10.1175/JHM-D-22-0098.1.

The data represents the relative cultivation intensity in the agricultural area of Alberta. Cultivation intensity refers to the frequency of cultivation associated with the following management systems: no till, conventional tillage and summerfallow. It is an estimate of the degree to which cultivation contributes to wind and water erosion. The classes shown on the map are ranked between 0 (lowest) and 1 (highest).This map was created in 2002 using ArcGIS.

Tow, catch, and length frequency for fish caught during the August sentinel surveys in the southern Gulf of St. Lawrence (NAFO Division 4T). Abundance indices and spatial distribution patterns of commercial groundfish.Note: Due to delays caused by logistic complexities and Covid the project did not take place in 2020

The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.

Coastline segments indicating herring spawing sites along the coastline of British Columbia. Attribute information includes relative importance, spawing frequency and spawn index. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

Wildfire location points for the current fire season. This includes both active and inactive fires. Data is supplied through various sources and is updated from the operational systems every 15 minutes. These points are rolled over to Historical Fire Points on April 1 of each year. Wildfire data may not reflect the most current fire situation, and therefore should only be used for reference purposes. Wildfire data is refreshed when practicable and individual fire update frequency will vary. The information is intended for general purposes only and should not be relied on as accurate because fires are dynamic and circumstances may change quickly.

Wildfire perimeters for the current fire season, including both active and inactive fires, supplied from various sources. The data is refreshed from operational systems every 15 min. These perimeters are rolled over to Historical Fire Polygons on April 1 of each year Wildfire data may not reflect the most current fire situation, and therefore should only be used for reference purposes. Wildfire data is refreshed when practicable and individual fire update frequency will vary. The information is intended for general purposes only and should not be relied on as accurate because fires are dynamic and circumstances may change quickly.

The BC Hydrologic Zones represent regions of similar climate and terrain resulting in somewhat homogeneous hydrology characteristics. The zones were defined previously by Obedkoff and others. This dataset has been extended into the neighbouring province, territories, and states for regional flood frequency analysis studies. See Bulletin 2020-1-RFFA British Columbia Extreme Flood Project – Regional Flood Frequency Analysis – Technical development report and manual to complete a regional flood frequency analysis.