Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The Canadian National Wetlands Inventory (CNWI) is a comprehensive, publicly available national geodatabase developed by the Canadian Wildlife Service (CWS) of Environment and Climate Change Canada (ECCC), in collaboration with federal, provincial, and territorial governments, academia, Indigenous groups, and Non-Governmental Organizations (NGOs). It consists of the best available wetland mapping data, along with its metadata, published in a standardized manner. The CNWI is continuously updated through the compilation of existing data and the acquisition of new high-resolution datasets to address coverage gaps, with an emphasis on peatlands and coastal wetlands, which are key habitats for greenhouse gas (GHG) sequestration. ECCC plans to use the CNWI to train and validate machine-learning algorithms to delineate and classify wetlands at a national scale and to measure trends over time. This will directly support Canada’s Nature-Based Climate Solutions by informing biodiversity conservation, guiding climate change mitigation and adaptation strategies, and supporting GHG emissions reporting. The CNWI was initially released in February 2024 with 13 source datasets. In June 2025, the Inventory was updated to include 14 additional datasets. Collectively, these 27 source datasets comprise approximately 12.1 million wetland polygon features, covering a total area of roughly 640,000 square kilometers across ten provinces and territories (BC, MB, NB, NL, NS, PE, ON, QC, SK, YT). These source datasets were cross-walked into a standardized CNWI classification schema, which is based on two foundational documents: the Canadian Wetland Classification System (National Wetlands Working Group, 1997) and the Canadian Wetland Inventory Data Model (2016). The CNWI Schema contains five major wetland classes (Bog, Fen, Swamp, Marsh, and Shallow/Open Water) and eight subclasses (Rich Fen, Poor Fen, Organic Swamp, Mineral Swamp, Organic Marsh, Mineral Marsh, Shallow Water, and Open Water). Non-conforming wetlands can be categorized into three groups: Peatland, Mixed, and Unclassified. For more information on the CNWI and the related database, please refer to the CNWI User Manual and other supporting documents that accompany this publication. The User Manual provides detailed information on how data are collected, managed, and distributed to meet CNWI data standards.
Canadian Wetlands Inventory (CWI) data for the Radisson region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region.
Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification.
The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island).
A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%.
For the methodology used to do the classifications, please refer to the following reference :
Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canadian Wetlands Inventory (CWI) data for the Montérégie region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
Canadian Wetlands Inventory (CWI) data for the Îles de la Madeleine region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region.
Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification.
The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island).
A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%.
For the methodology used to do the classifications, please refer to the following reference :
Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
Canadian Wetlands Inventory (CWI) data for the lake Saint-Pierre region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region.
Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification.
The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island).
A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%.
For the methodology used to do the classifications, please refer to the following reference :
Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Canadian Wetlands Inventory (CWI) data for the Baie de l'Isle-Verte region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
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IMPORTANT NOTICE This item has moved to a new organization and will enter Mature Support on April 17th, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on July 30th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here. The Alberta Merged Wetlands Inventory is used to identify and describe the current coverage of wetlands within Alberta to the level of the five major Canadian Wetland Classification System classes. This information is used to evaluate the status of wetlands at a regional level. The wetland inventory dataset is not intended to replace site specific or local information to describe wetland type, area and location. This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset.The Alberta Merged Wetland Inventory depicts wetlands within the province of Alberta, Canada for the period 1998 to 2017 classified to the five major classes in the Canadian Wetland Classification System (CWCS). These five major classes include bog, fen, marsh, swamp and shallow open water. For the purposes of this inventory, shallow open water includes all open water. The Alberta Merged Wetland Inventory is a generalized, merged product of 35 component wetland inventories that utilized different types of source data from different years, different data capture specifications and different classifications. Considerable variation in the level of detail and accuracy is present in this dataset. Accuracy assessments have been included where available but it should be noted that the geoprocessing applied to the data may have introduced additional error. Note that the Alberta Merged Wetland Inventory product replaces the previously released Alberta Merged Wetland Inventory from October 23, 2018. The funding partners for the component inventories include: Ducks Unlimited Canada; Ducks Unlimited Inc.; Government of Alberta (Environment and Parks); United States Forest Service (USFS); United States Fish and Wildlife Service (USFWS); North American Waterfowl Conservation Act (NAWCA); The PEW Charitable Trusts; Canadian Boreal Initiative; Alberta-Pacific Forest Products Inc. (ALPAC); Environment Canada; Canadian Space Agency; Lakeland Industry and Community Association (LICA); Imperial Oil Resources; Shell Canada; Suncor Energy Foundation; Weyerhaeuser Company Limited; Encana Corporation and Parks Canada (Wood Buffalo National Park). Purpose of this dataset: To identify and describe the current coverage of wetlands within Alberta to the level of the five major Canadian Wetland Classification System classes. USE LIMITATION: This information is used to evaluate the status of wetlands at a regional level. The wetland inventory dataset should not be used for any purpose beyond general reference at the provincial or regional scale and is not intended to replace site specific or local information to describe wetland type, area and location. The funding partners for the component inventories include: Ducks Unlimited Canada; Ducks Unlimited Inc.; Government of Alberta (Environment and Parks); United States Forest Service (USFS); United States Fish and Wildlife Service (USFWS); North American Waterfowl Conservation Act (NAWCA); The PEW Charitable Trusts; Canadian Boreal Initiative; Alberta-Pacific Forest Products Inc. (ALPAC); Environment Canada; Canadian Space Agency; Lakeland Industry and Community Association (LICA); Imperial Oil Resources; Shell Canada; Suncor Energy Foundation; Weyerhaeuser Company Limited; and Encana Corporation.See Standards and Guidelines for more information.Source: Alberta Merged Wetland Inventory
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canadian Wetlands Inventory (CWI) data for the Eastmain region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The national wetland layer contains wetland data compiled from the best available data from each region, classified by wetland type. Wetlands are mapped as polygons in geographic layers, which are integrated into a master geodatabase at the national scale.Information from each contributing dataset was classified based on the Canadian Wetland Classification System, which contains five main wetland classes (Bog, Fen, Marsh, Swamp, and Shallow Water) that represent the types of wetlands encountered in Canada. An additional category, “partially classified” was used to preserve boundary information for wetlands that could not be classified into the main categories with existing information.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canadian Wetlands Inventory (CWI) data for the Cap Tourmente region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canadian Wetlands Inventory (CWI) data for the La Mauricie National Park. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetlands Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines SPOT-5 and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
The Wetland Inventory Pilot project is part of ongoing efforts to develop innovative wetland mapping methodologies across Alberta, Canada with the objective to refine and establish wetland inventory mapping methodologies using advanced Earth Observation (EO) imagery and machine learning (ML) techniques. Wetland Inventory was developed for four pilot study areas within Alberta for the Boreal 1: South Hay-Zama Lake (7,613 km2), Boreal 2: North Slave Lake (21,215 km2), Grassland located east of Brooks (5,065 km2) and Parkland located east of Red Deer (5,170 km2). These areas were selected to represent the broad diversity of wetlands and land-uses in the province. The Boreal study areas utilized EO sources from Sentinel-1, and Sentinel-2 satellite imagery, Advanced Land Observing Satellite (ALOS) Digital Elevation Model (DEM) and high-resolution airborne Light Detection and Ranging (LiDAR. The Grassland and Parkland study areas contained a comprehensive collection of EO satellite (Sentinel-1, Sentinel-2 and PlanetScope) imagery, aerial imagery, and high-resolution airborne LiDAR. Training and validation data included photo-interpreted plots, and field validated survey sites and helicopter survey sites. The project developed wetland inventory for each pilot area that identifies and delineates both the wetland class and form of a given wetland, according to the Alberta Wetland Classification System (AWCS) (ESRD 2015) and the Wetland Inventory Mapping Standards (AEP 2020). The four pilot areas were completed in collaboration with Government of Alberta (GOA), Ducks Unlimited Canada (DUC), and Alberta Biodiversity Monitoring Institute (ABMI) The wetland inventory pilots dataset is not intended to replace site specific or local information to describe wetland type, area and location.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canadian Wetlands Inventory (CWI) data for the Grande plée Bleue region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetland Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canadian Wetlands Inventory (CWI) data for the Appalache region. Created according to the method developed by the Canadian Wildlife Service, Quebec Region. Between 2003 and 2007, the Canadian Wildlife Service, Quebec Region (CWS-QC) produced wetland maps for several sites in Quebec. This mapping was carried out as part of the Canadian Wetlands Inventory (CWI), an initiative launched in 2002 in order to classify wetlands into the five major classes of the Canadian Wetlands Classification System, namely: bogs, fens, marshes, swamps and shallow open water. The selected approach combines Landsat-TM/ETM and RADARSAT-1 satellite imagery with object-oriented image classification. The mapped sites are situated in a variety of ecozones and represent different types of landscapes and ecosystems. These sites include Lac Saint-Pierre, Lac Brome, Montérégie, Lac Saint-François (Appalachians), Grande-Plée-Bleue, Montmagny, Cap Tourmente, Baie de l’Isle-Verte, La Mauricie National Park, Îles-de-la-Madeleine, Radisson and Eastmain. These twelve sites represent 4% of Quebec’s land mass. The method was tested in British Columbia (Vancouver) and in the Northwest Territories (Kendall Island). A total of 8% of the territory constituted by the twelve sites is covered by wetlands, with the percentage for each site ranging from 2% to 15%. The classifications were validated using a method developed by CWS-QC which involves the visual interpretation of Landsat colour composites. Validation was performed in two ways: between wetlands and dry areas and between the five different types of wetlands. The overall accuracy for the first validation method ranges between 61% and 91%; for the second method, accuracy ranges between 47% and 98%. For the methodology used to do the classifications, please refer to the following reference : Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
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These species included; blue-winged teal (Anas discors), gadwall (A. strepera), mallard (A. platyrhynchos), northern pintail (A. acuta), and northern shoveler (A. clypeata).Footnote: data source abbreviations in order of appearance: National Wetlands Inventory (NWI); (CanVec); Ducks Unlimited Canada (DUC); United States Fish and Wildlife Service and Canadian Wildlife Service Breeding Population Survey (BPOP); National Aeronautics and Space Administration (NASA), Earth Observation Data Portal (EODP), Moderate Resolution Imaging Spectrometer (MODIS); Shuttle Radar Topography Mission (SRTM); National Landcover Dataset (NLCD), Agriculture Agri-Food Canada (AAFC). All data layers are available from https://www.sciencebase.gov/catalog/item/535fa1aae4b078dca33ae3ad?community=LC+MAP+-+Landscape+Conservation+Management+and+Analysis+Portal.Description of the explanatory variables used to predict the abundance of count of 5 species of dabbling ducks within a ∼ 11 km2 scale within the Prairie Pothole Region of the U.S. and Canada during 2002–2010.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The third generation of high resolution 10-m wetland inventory map of Canada, covering an approximate area of one billion hectares, was generated using multi-year (2016-2020), multi-source imagery (Sentinel-1, Sentinel-2, ALOS PALSAR-2, and SRTM) Earth Observation (EO) data as well as environmental features. Over 8800 wetland polygons were processed within an object-based random forest classification scheme on the Google Earth Engine cloud computing platform. The average overall accuracy of 90.5% is an increase of 4.7% over CWIM2. CWIM Versions: The Canadian Wetland Inventory Map (CWIM) is an extension of work started at Memorial University to produce a Newfoundland and Labrador wetland inventory during 2015-2018 which was significantly funded by Environment and Climate Change Canada. The first national CWIM was produced 2018-2019 as a collaboration between Memorial University, C-CORE, and Natural Resources Canada. Dr. Brian Brisco was instrumental in connecting ground truth from multiple sources to the project and providing guidance. Version 2 was produced in 2020 which included more training data and processing by Canada’s ecozones rather than provinces to take advantage of the commonality of landscape ecological features within ecozones to improve the accuracy. Version 3 produced in 2021 continued adding more data sources to further improve accuracy specifically an overestimation of wetland area as well as introducing a confidence map. Version 3A completed in 2022 updates only the arctic ecozones due to their relatively lower accuracy and added hydro-physiographic data layers. Currently work is underway to create a northern circumpolar wetland inventory map to be published in 2025. Paper on Newfoundland and Labrador Wetland Inventory: Mahdianpari, M.; Salehi, B.; Mohammadimanesh, F.; Homayouni, S.; Gill, E. The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform. Remote Sens. 2019, 11, 43. https://doi.org/10.3390/rs11010043 Paper on CWIM1: Mahdianpari, M., Salehi, B., Mohammadimanesh, F., Brisco, B., Homayouni, S., Gill, E., … Bourgeau-Chavez, L. (2020). Big Data for a Big Country: The First Generation of Canadian Wetland Inventory Map at a Spatial Resolution of 10-m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform. Canadian Journal of Remote Sensing, 46(1), 15–33. https://doi.org/10.1080/07038992.2019.1711366 Paper on CWIM2: Mahdianpari, M., Brisco, B., Granger, J. E., Mohammadimanesh, F., Salehi, B., Banks, S., … Weng, Q. (2020). The Second Generation Canadian Wetland Inventory Map at 10 Meters Resolution Using Google Earth Engine. Canadian Journal of Remote Sensing, 46(3), 360–375. https://doi.org/10.1080/07038992.2020.1802584 Paper on CWIM3: M. Mahdianpari et al., "The Third Generation of Pan-Canadian Wetland Map at 10 m Resolution Using Multisource Earth Observation Data on Cloud Computing Platform," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 8789-8803, 2021, doi: 10.1109/JSTARS.2021.3105645. Paper on Arctic ecoregion enhancement for CWIM3A: Michael Merchant, et al., ”Leveraging google earth engine cloud computing for large-scale arctic wetland mapping,” in International Journal of Applied Earth Observation and Geoinformation, vol. 125, 2023, https://doi.org/10.1016/j.jag.2023.103589.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata on how to acquire this dataset. The Grassland Vegetation Inventory (GVI) represents the Government of Alberta's comprehensive biophysical, anthropogenic and land-use inventory of the southernmost portion of the province's White Area. The compilation of the inventory commenced in 2006 in the southeast corner of the province using digital colour-infrared stereo photography. Data capture has proceeded north and west. The Grassland Vegetation Inventory is intended as an update to the Native Prairie Vegetation Inventory (NPVI) that was completed circa 1993. The Grassland Vegetation Inventory product is a more comprehensive and detailed geospatial representation of land cover that is intended to meet a multitude of business needs integral to land-use planning and management in Alberta. The Grassland Vegetation Inventory is a biophysical and land-use inventory rather than a purely vegetation inventory. It is comprised of ecological range sites based on soils information for areas of native vegetation and general land use for areas of non-native vegetation, namely those associated with agricultural, industrial, and residential developments. Landscape Polygons are the basic map units in the Grassland Vegetation Inventory digital product. These polygons represent interpretations of relatively uniform biophysical or anthropogenic areas. The characteristics of Landscape Polygons are captured as records in the Sites table. The Grassland Vegetation Inventory site type classification is captured under the Site Types column in the Sites table to a maximum of four site types per Landscape Polygon. The Grassland Vegetation Inventory site types and their associated information plus the data capture methodology are described in the Grassland Vegetation Inventory Specifications. Grassland Vegetation Inventory projects were initially funded under the Base Data Acquisition component of the Land-use Framework program, which represents the Alberta Government's comprehensive and integrated approach to land use planning and management. The primary funding agency is Alberta Environment and Protected Areas. The GVI data, index map, status map, views and specifications documents are available from Alberta Environment and Protected Areas, Government of Alberta.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Land use classification on the basis of multidate Landsat-ETM and Radarsat-1 images. Classification is based on the segmentation of images into objects using Definiens Earth software (formerly eCognition©). Object-oriented classification combines fuzzy logic, based on spectral, spatial and contextual properties (statistical functions of belonging), and, as a last resort, the manual identification of objects when automatic classification performs less well for certain objects. Targeted land use classes include agriculture (annual and perennial), the road system (expressways, roads, forest roads), the water system (permanent and non-permanent waterways and non-permanent ponds under forest cover), wetlands, urban areas, and forests. Top-to-bottom multiscale classification, reflecting an approach developed by the Canadian Wildlife Service, Quebec Division, in the context of the Canadian Wetlands Inventory (CWI), has been adapted for land use purposes. The methodological details of this classification approach were published in Grenier et al. 2007. Grenier, M., Demers, A.-M., Labrecque, S., Benoit, M., Fournier R., and Drolet B. 2007. An object-oriented method to map wetland using RADARSAT-1 and Landsat-ETM images: test case on two sites in Quebec, Canada. Canadian Journal of Remote Sensing, Vol. 33, Suppl. 1, pp. S28-S45.
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Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The Canadian National Wetlands Inventory (CNWI) is a comprehensive, publicly available national geodatabase developed by the Canadian Wildlife Service (CWS) of Environment and Climate Change Canada (ECCC), in collaboration with federal, provincial, and territorial governments, academia, Indigenous groups, and Non-Governmental Organizations (NGOs). It consists of the best available wetland mapping data, along with its metadata, published in a standardized manner. The CNWI is continuously updated through the compilation of existing data and the acquisition of new high-resolution datasets to address coverage gaps, with an emphasis on peatlands and coastal wetlands, which are key habitats for greenhouse gas (GHG) sequestration. ECCC plans to use the CNWI to train and validate machine-learning algorithms to delineate and classify wetlands at a national scale and to measure trends over time. This will directly support Canada’s Nature-Based Climate Solutions by informing biodiversity conservation, guiding climate change mitigation and adaptation strategies, and supporting GHG emissions reporting. The CNWI was initially released in February 2024 with 13 source datasets. In June 2025, the Inventory was updated to include 14 additional datasets. Collectively, these 27 source datasets comprise approximately 12.1 million wetland polygon features, covering a total area of roughly 640,000 square kilometers across ten provinces and territories (BC, MB, NB, NL, NS, PE, ON, QC, SK, YT). These source datasets were cross-walked into a standardized CNWI classification schema, which is based on two foundational documents: the Canadian Wetland Classification System (National Wetlands Working Group, 1997) and the Canadian Wetland Inventory Data Model (2016). The CNWI Schema contains five major wetland classes (Bog, Fen, Swamp, Marsh, and Shallow/Open Water) and eight subclasses (Rich Fen, Poor Fen, Organic Swamp, Mineral Swamp, Organic Marsh, Mineral Marsh, Shallow Water, and Open Water). Non-conforming wetlands can be categorized into three groups: Peatland, Mixed, and Unclassified. For more information on the CNWI and the related database, please refer to the CNWI User Manual and other supporting documents that accompany this publication. The User Manual provides detailed information on how data are collected, managed, and distributed to meet CNWI data standards.