Canada environment data
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The National Flood Hazard Layer (NFHL) dataset represents the current effective flood risk data for those parts of the country where maps have been modernized by the Federal Emergency Management Agency (FEMA). The data in this service was published by FEMA as of July 18, 2025 (Latest Study Effective Date = 07/08/2025; Latest LOMR Effective Date = 07/09/2025). Also see the Feature Service and Tile service. See full details.
Overview This layer shows the grasslands priority conservation areas (GPCAs) within North America's Central Grasslands, an ecosystem considered among the most threatened on the continent and the world. GPCAs are areas of tri-national importance due to their ecological significance and threatened nature, which require international cooperation for their successful conservation. This layer is part of the North American Environmental Atlas, produced through a collaboration between the national atlas programs of Canada, Mexico, and the United States, in partnership with the Commission for Environmental Cooperation (CEC). The 55 original GPCAs were identified in 2004 by 36 experts from Canada, Mexico, and the United States, during a workshop co-organized by the CEC and The Nature Conservancy (TNC). In 2010, the Rocky Mountain Bird Observatory (RMBO) updated the dataset using national and international land cover, elevation, habitat, species, and bird survey data, bringing the total to 59 GPCAs. Each area was scored and ranked based on its importance to key grassland species and the rate at which its habitat was being lost. Geographic Coverage This layer covers the Central Grasslands ecosystem of North America, spanning parts of Canada, Mexico, and the United States. Data Sources and Licensing This dataset draws on more than 120 physical, biological, and social data sets from federal, state, and provincial governments, engineering and environmental firms, universities, industries, and conservation organizations, including USGS land cover and elevation layers, USGS Breeding Bird Surveys and Christmas Bird Counts, RMBO bird and vegetation surveys, and Canadian Wildlife Service bird surveys. Further detail on the selection methodology is available in the North American Grassland Priority Conservation Areas: Technical Report and Documentation. This material is licensed under CC BY 4.0, allowing non-exclusive rights to distribute, remix, adapt, and build upon the material in any medium or format, including for commercial purposes, so long as attribution is given to the creator. Update frequency: Not planned Limitations of use: None. Acknowledgement of the Commission for Environmental Cooperation, the Rocky Mountain Bird Observatory, and (or) the Nature Conservancy would be appreciated in products derived from these data. Vintage: 2010 Applications (Intended Use) Conservation planning and priority-setting for grassland habitats across North America. Biodiversity research and monitoring of grassland-dependent species. Cross-border collaboration in the conservation of shared grassland ecosystems. Land use and natural resource management, including habitat protection. Integration with other thematic layers in the North American Environmental Atlas for continental-scale analysis. Supporting environmental cooperation and policy-making among Canada, Mexico, and the United States. Files Download
GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.
Leaf Drop Sites Summary: Leaf Drop Sites Metadata: Leaf Drop Sites.pdf Description: Drop-off sites, located in neighbourhoods across the city, are open seven days a week during daylight hours until Friday, Dec. 4. Leaves are piled loose in these locations for collection. However, any leaves in plastic bags should be de-bagged at the site. Drop-off locations are for leaves only. Please check the individual record's CREATE_DATE for date the feature was added and UPDATE_DATE for the last date an attribute was edited. Find other open data layers on the Kitchener Open Data Repository.
Dates of Images: 20220422T1234, 20220427T1242, 20220501T0015, 20220504T1234, 20220509T1242, 20220516T1234, 20220528T1234 (GMT) (YYYYMMDD: HHMM) Summary: The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at the Jet Propulsion Laboratory, California Institute of Technology produced flood mapping products using the OPERA Dynamic Surface Water Extent from Sentinel-1 (DSWx-S1) dataset. These products provide a rapid assessment of surface water extent to support emergency response and situational awareness during flood events. The dataset provided includes three products: Surface Water Extent maps on individual dates Water Gain maps, showing areas where water increased between two dates Maximum Surface Water Extent maps, showing the full extent of water observed over a defined time period Dates and Input Data: Pre-event image: April 22, 2022 Flood images: April 27, 2022, May 01, 2022, May 05, 2022, May 16, 2022, May 28, 2022 Products are generated from OPERA DSWx-S1 satellite imagery and mosaicked across tiles to provide continuous coverage. Product Description: Surface water is identified from Synthetic Aperture Radar (SAR) satellite imagery and mapped at 30 m spatial resolution. Maximum Surface Water Extent maps show all locations where water was detected at any time during the analysis period. Caveats and Limitations: Detecting inundation under vegetation, in the urban perimeter, in arid environments, and along water body edges is known to be challenging. The local accuracy of the flood maps in such environments may be impacted. These results are intended to support rapid emergency response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk. Suggested Use: The OPERA DSWx-S1 Water product classifies the Sentinel-1 (S1) input imagery into "not water", "open surface water", and "inundated vegetation”, masks include Height Above Nearest Drainage (HAND) mask and layover/shadow mask), or no data classes. Water (WTR) Layer Values: File names:, OPERA_L3_DSWX-S1_V1_WTR_20220528T1234_mosaic.tif, OPERA_L3_DSWX-S1_V1_WTR_20220516T1234_mosaic.tif, OPERA_L3_DSWX-S1_V1_WTR_20220509T1242_mosaic.tif, OPERA_L3_DSWX-S1_V1_WTR_20220504T1234_mosaic.tif, OPERA_L3_DSWX-S1_V1_WTR_20220501T0015_mosaic.tif, OPERA_L3_DSWX-S1_V1_WTR_20220427T1242_mosaic.tif, OPERA_L3_DSWX-S1_V1_WTR_20220422T1234_mosaic.tif 0: Not Water - an area with valid data that is not open water (class 1), inundated vegetation (class 3), height above nearest drainage masked (class 250), or layover/shadow masked (class 251) (suggested color: #ffffff) 1: Open Water - an area that is entirely water and unobstructed to the sensor, including obstructions by vegetation, terrain, and buildings. (suggested color: #0000ff) 3: Inundated vegetation - an area that is considered inundated, extracted from the high value in dual polarization ratio and the wetland class in land cover map. (suggested color: #00ff00) 250: Height Above Nearest Drainage (HAND) masked - an area where topographic height is higher than the HAND threshold (suggested color: #c8c8c8) 251: Layover/shadow masked - an area identified as layover or shadow computed from the geometry of the digital elevation model and sensor. The area is directly copied from input burst RTC-S1 products (suggested color: #808080) 255: No data (suggested color: transparent) Maximum Water Extent Layer Values: The maximum water extent observed during the event was created by aggregating OPERA DSWx-S1 water products. File names: ARIA-OPERA_L3_DSWX-S1_V1_WTR_20220422T1234_20220601T0007_max_extent.tif 0: Not Water. No water was detected within the time period of the images. Masked pixels are set to No data. (suggested color: #ffffff) 1: Water - an area where open water or partial surface water was detected during the time period of the images. (suggested color: #ff15e4) Water Gain Layer Values: The water gain shows any location where there was a change from “not water” to “inundated vegetation”, “not water” to “open surface water”, or “inundated vegetation” to “open surface water" between two OPERA DSWx-S1 products. File names: ARIA-OPERA_L3_DSWX-S1_V1_WTR_20220422T1234_20220504T1234_water_gain.tif 0: No Change or Water Loss- an area that had no change (e.g., open water in both images) or water loss (e.g., open water to not water). Masked pixels are set to No data. (suggested color: #ffffff) 1: Water Gain - an area that gained water in the most recent image. This includes change from Not Water to Inundated Vegetation, Not Water to Open Water, and Inundated Vegetation to Open Water. (suggested color: #ff15e4) Credits: The product contains modified Copernicus Sentinel data, processed by the European Space Agency and analyzed by the NASA-JPL/Caltech ARIA/OPERA team. The DSWx products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA's Jet Propulsion Laboratory. Product POCs: Cole Speed (cole.speed@jpl.nasa.gov) Mary Grace Bato (bato@jpl.nasa.gov) Emre Havazli (emre.havazli@jpl.nasa.gov) Renato Frasson (renato.prata.de.moraes.frasson@jpl.nasa.gov) Alexander Handwerger (alexander.handwerger@jpl.nasa.gov ) Esri REST Endpoint: See URL on the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2603_202205_FLOOD_MN/ex2603_opera_dswx_s1/MapServer/WMSServer
Preliminary NFHL data containing flood risks and regulatory flood determination data. This data is not yet effective.
The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. New and revised data is being added continuously. For more information National Flood Hazard Layer.
Map service that provides a legend for the FEMA National Flood Hazard Layer. Display this along with the FEMA NFHL tiled map service at https://tiles.arcgis.com/tiles/hGdibHYSPO59RG1h/arcgis/rest/services/FEMA_National_Flood_Hazard_Layer/MapServer (metadata at https://massgis.maps.arcgis.com/home/item.html?id=630c74171705455592a8fa947c3f849f), which, being a tiled service hosted at ArcGIS Online, does not have a legend associated with it when displayed in ArcGIS Online or ArcGIS for Desktop.
Wisconsin Flood Risk Management Application spatial data map service.
Preliminary NFHL data containing flood risks and regulatory flood determination data. This data is not yet effective.
FEMA PRELIMINARY Flood Hazard Layers For more information, visit: https://hazards.fema.gov/femaportal/wps/portal/NFHLWMS
Overview The National Flood Hazard Layer (NFHL) dataset represents the current effective flood data for the country, where maps have been modernized. It is a compilation of effective Flood Insurance Rate Map (FIRM) databases and Letters of Map Revision (LOMRs). The NFHL is updated as studies go effective. For more information, visit FEMA's Map Service Center (MSC). Base Map Considerations The default base map conforms to FEMA's specification for horizontal accuracy. This map should be considered the best online resource to use for official National Flood Insurance Program (NFIP) purposes when determining locations in relation to regulatory flood hazard information. If a different base map is used with the NFHL, the accuracy specification may not be met and the resulting map should be used for general reference only, and not official NFIP purposes. For FEMA’s policy on the use of digital flood hazard data for NFIP purposes see: Standards for Flood Risk Products. Questions? Contact a map specialist. Further Information FEMA Flood Data Viewers and Geospatial Data
Wisconsin Flood Risk Management Application spatial data map service.
Wisconsin Flood Risk Management Application spatial data map service.
MassGIS Data: FEMA National Flood Hazard Layer (NFHL) Full MassGIS metadata: https://www.mass.gov/info-details/massgis-data-fema-national-flood-hazard-layer
FEMA provides access to the National Flood Hazards Layer (NFHL) through web mapping services. The maps depict effective flood hazard information and supporting data. The primary flood hazard classification is indicated in the Flood Hazard Zones layer. The NFHL layers include: Flood hazard zones and labels River Miles Markers Cross-sections and coastal transects and their labels Letter of Map Revision (LOMR) boundaries and case numbers Flood Insurance Rate Map (FIRM) boundaries, labels and effective dates Coastal Barrier Resources System (CBRS) and Otherwise Protected Area (OPA) units Community boundaries and names Levees Hydraulic and flood control structures Profile and coastal transect baselines Limit of Moderate Wave Action(LiMWA) Not all effective Flood Insurance Rate Maps (FIRM) have GIS data available. To view a list of available county and single-jurisdiction flood study data in GIS format and check the status of the NFHL GIS services, please visit the NFHL Status Page. Preliminary & Pending National Flood Hazard LayersThe Preliminary and Pending NFHL dataset represents the current pre-effective flood data for the country. These layers are updated as new preliminary and pending data becomes available, and data is removed from these layers as it becomes effective. For more information, please visit FEMA's website. To download map panels or GIS Data, go to: NFHL on FEMA GeoPlatform. Preliminary & Pending Data Preliminary data are for review and guidance purposes only. By viewing preliminary data and maps, the user acknowledges that the information provided is preliminary and subject to change. Preliminary data are not final and are presented in this national layer as the best information available at this time. Additionally, preliminary data cannot be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove preliminary data once pending data are available. Pending data are for early awareness of upcoming changes to regulatory flood map information. Until the data becomes effective, when it will appear in FEMA's National Flood Hazard Layer (NFHL), the data should not be used to rate flood insurance policies or enforce the Federal mandatory purchase requirement. FEMA will remove pending data once effective data are available. To better understand Preliminary data please see the View Your Community's Preliminary Flood Hazard Data webpage. FEMA GeoPlatformFEMA's GIS flood map services are available through FEMAs GeoPlatform, an ArcGIS Online portal containing a variety of FEMA-related data. To view the NFHL on the FEMA GeoPlatform go to NFHL on FEMA GeoPlatform. To view the Preliminary and Pending national layers on the FEMA Geoplatform go to FEMA's Preliminary & Pending National Flood Hazard Layer. Technical Information Flood hazard and supporting data are developed using specifications for horizontal control consistent with 1:12,000–scale mapping. If you plan to display maps from the NFHL with other map data for official purposes, ensure that the other information meets FEMA’s standards for map accuracy. The minimum horizontal positional accuracy for base map hydrographic and transportation features used with the NFHL is the NSSDA radial accuracy of 38 feet. United States Geological Survey (USGS) imagery and map services that meet this standard can be found by visiting the Knowledge Sharing Site (KSS) for Base Map Standards (420). Other base map standards can be found at https://riskmapportal.msc.fema.gov/kss/MapChanges/default.aspx. You will need a username and password to access this information. The NFHL data are from FEMA’s FIRM databases. New data are added continually. The NFHL also contains map changes to FIRM data made by LOMRs. The NFHL is stored in North American Datum of 1983, Geodetic Reference System 80 coordinate system, though many of the NFHL GIS web services support the Web Mercator Sphere projection commonly used in web mapping applications. Organization & DisplayThe NFHL is organized into many data layers. The layers display information at map scales appropriate for the data. A layer indicating the availability of NFHL data is displayed at map scales smaller than 1:250,000, regional overviews at map scales between 1:250,000 and 1:50,000, and detailed flood hazard maps at map scales of 1:50,000 and larger. The "Scalehint" item in the Capabilities file for the Web Map Service encodes the scale range for a layer. In addition, there are non-NFHL datasets provided in the GIS web services, such as information about the availability of flood data and maps, the national map panel scheme, and point locations for LOMA and LOMR-Fs. The LOMA are positioned less accurately than are the NFHL data. Layers in the public NFHL GIS services:Use the numbers shown below when referencing layers by number. 0. NFHL Availability1. LOMRs2. LOMAs3. FIRM Panels4. Base Index5. PLSS6. Toplogical Low Confidence Areas7. River Mile Markers8. Datum Conversion Points9. Coastal Gages10. Gages11. Nodes12. High Water Marks13. Station Start Points14. Cross-Sections15. Coastal Transects16. Base Flood Elevations17. Profile Baselines18. Transect Baselines19. Limit of Moderate Wave Action20. Water Lines21. Coastal Barrier Resources System Area22. Political Jurisdictions23. Levees24. General Structures25. Primary Frontal Dunes26. Hydrologic Reaches27. Flood Hazard Boundaries28. Flood Hazard Zones29. Submittal Information30. Alluvial Fans31. Subbasins32. Water Areas
Overview This feature service contains the Wildfire Development Permit Area for Peachland and supports planning and land use review related to wildfire risk considerations. Feature Layer Wildfire Development Permit Area: A polygon layer representing the mapped development permit area associated with wildfire management and development regulation in the district of Peachland. It supports municipal and regional planning workflows, permit review, and public-facing geographic reference for wildfire-related development requirements. Geographic Coverage The service covers the district of Peachland area within the Regional District of Central Okanagan in British Columbia. Use Cases Development permit and planning review Wildfire risk-aware land use management Municipal GIS reference for regulatory mapping Community and staff access to wildfire-related planning boundaries Source and Use Notes Owned by District of Peachland, served up by the GIS Section of the Regional District of Central Okanagan shared under the RDCO open data license and related terms of use.
Overview This layer shows the distribution of salt marsh habitats across North America. It forms part of the Commission for Environmental Cooperation (CEC) Blue Carbon mapping series, which documents the coastal ecosystems (salt marshes, mangroves, and seagrasses) that capture and store carbon along the North American coastline. Salt marshes occupy the intertidal zones of sheltered marine and estuarine coastlines, and support estuarine food webs by providing nesting, nursery, and feeding habitat for birds, fish, molluscs, and crustaceans. The extent of salt marshes in North America was estimated by combining eight source datasets produced with different methods, spanning global, national, and regional coverage and derived from both ground surveys and remotely sensed imagery. Where sources overlapped, priority was assigned following criteria defined by a trinational panel of eleven experts, convened through three national workshops led by the Mexican Carbon Program, giving precedence to more recent, finer-resolution, better-documented, and more locally specific data. The dataset is intended to support estimates of blue carbon sink potential and to serve as a standardized, publicly available input for carbon budget analyses. Documentation of every source and the preprocessing applied to each is provided in the accompanying Blue Carbon Map source data notes 2021. Geographic Coverage This layer covers the coastal zones of North America, including Canada, Mexico, and the United States. Data Sources and Licensing This dataset integrates the Global Distribution of Saltmarshes (UNEP-WCMC), the United States National Wetlands Inventory, Version 2 (U.S. Fish and Wildlife Service), C-CAP salt marsh habitat data for New Hampshire and Rhode Island (NOAA and RIGIS), the Nova Scotia Forest Inventory, the British Columbia ShoreZone Observed Habitat Polygons, the Prince Edward Island 2000 Wetlands Inventory, the New Brunswick Hydrographic Network, and the St. Lawrence wetlands classification (Environment and Climate Change Canada). This material is licensed under CC BY 4.0, allowing non-exclusive rights to distribute, remix, adapt, and build upon the material in any medium or format, including for commercial purposes, so long as attribution is given to the creator. Update frequency: Irregular Limitations of use: None. Acknowledgement of the Commission for Environmental Cooperation would be appreciated in products derived from these data. Vintage: 2021 Applications (Intended Use) Estimating blue carbon sink potential across North American coastal ecosystems. Providing a standardized, publicly available input dataset for carbon budget analyses. Coastal habitat conservation planning and marine protected area management. Assessing coastal ecosystem vulnerability and adaptation capacity in the face of relative sea level rise. Integration with other thematic layers in the North American Environmental Atlas for comprehensive continental analysis. Supporting cross-border environmental cooperation and policy-making among North American nations. Files Download
Date of Image(s): December 8; December 9; December 12; December 13; December 14; December 15; December 17 Date of Next Image: Typically, there are two daytime images expected each day around 1:00pm EST. Summary: Floodwater derived from Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard NASA and NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. VIIRS floodwater product was produced by NASA SatCORPS Ground Station Observation Network (GSON) low latency system.. The image shows where floodwater was detected from the VIIRS observation. Suggested Usage: The floodwater fraction percentage (1-100%) that contains water Satellite/Sensor/Resolution: 375m spatial resolution VIIRS instrument onboard SNPP Satellite Generated using CSPP v4.1 Credits: Image Credit: NASA Langley SatCORPS Louis Nguyen of NASA Langley SatCORPS: https://satcorps.larc.nasa.gov/new/ NOAA Joint Polar Satellite System (JPSS) VIIRS Data: https://registry.opendata.aws/noaa-jpss/ Additional information on VIIRS Flooding products: https://disasters-geoplatform.hub.arcgis.com/pages/viirs-floodwater-fraction-map/
Wisconsin Flood Risk Management Application spatial data map service.
The National Flood Hazard Layer (NFHL) dataset represents the current effective flood risk data for those parts of the country where maps have been modernized by the Federal Emergency Management Agency (FEMA). The data in this service was published by FEMA as of July 18, 2025 (Latest Study Effective Date = 07/08/2025; Latest LOMR Effective Date = 07/09/2025). Also see the Map Service and Feature Service. See full details.
Date of Image(s): May 7, 2022; May 5, 2022 Date of Next Image: Typically, there are two daytime images expected each day around 1:00pm EST. Summary: Floodwater derived from Visible Infrared Imaging Radiometer Suite (VIIRS) instrument onboard NASA and NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. VIIRS floodwater product was produced by NASA SatCORPS Ground Station Observation Network (GSON) low latency system.. The image shows where floodwater was detected from the VIIRS observation. Suggested Usage: The floodwater fraction percentage (1-100%) that contains water Satellite/Sensor/Resolution: 375m spatial resolution VIIRS instrument onboard SNPP Satellite Generated using CSPP v4.1 Credits: Image Credit: NASA Langley SatCORPS Louis Nguyen of NASA Langley SatCORPS: https://satcorps.larc.nasa.gov/new/ NOAA Joint Polar Satellite System (JPSS) VIIRS Data: https://registry.opendata.aws/noaa-jpss/ Additional information on VIIRS Flooding products: https://disasters-geoplatform.hub.arcgis.com/pages/viirs-floodwater-fraction-map/ REST Endpoint: See URL to the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2603_202205_FLOOD_MN/ex2603_viirs_FloodwaterFraction/MapServer/WMSServer
Wisconsin Flood Risk Management Application spatial data map service.
Wisconsin Flood Risk Management Application spatial data map service.
Wisconsin Flood Risk Management Application spatial data map service.
City of Ames IA, Floodplain Zoning as adopted by FEMA in 2020. This layer was updated on City of Ames GIS in January 2021. The National Flood Hazard Layer (NFHL) is a geospatial database that contains current effective flood hazard data. FEMA provides the flood hazard data to support the National Flood Insurance Program. You can use the information to better understand your level of flood risk and type of flooding. The NFHL is made from effective flood maps and Letters of Map Change (LOMC) delivered to communities. NFHL digital data covers over 90 percent of the U.S. population. New and revised data is being added continuously. If you need information for areas not covered by the NFHL data, there may be other FEMA products which provide coverage for those areas.
The National Flood Hazard Layer (NFHL) dataset represents the current effective flood risk data for those parts of the country where maps have been modernized by the Federal Emergency Management Agency (FEMA).