2 datasets found
  1. u

    Canadian National Wetlands Inventory - Catalogue - Canadian Urban Data...

    • data.urbandatacentre.ca
    Updated Sep 30, 2024
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    (2024). Canadian National Wetlands Inventory - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-d5af4ac5-ebdb-4645-bb0a-8ec5cac5e29f
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    Dataset updated
    Sep 30, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    The Canadian National Wetlands Inventory (CNWI) is a comprehensive publicly available national geodatabase developed by the Canadian Wildlife Services (CWS) of Environment and Climate Change Canada (ECCC), in collaboration with federal, provincial, territorial, academia, indigenous groups and Non-governmental organizations (NGOs). It consists of the best available wetland mapping and ground-truth data, along with its metadata, published in a standardized manner. Over time, not only existing data being complied but also new high-resolution data will be acquired to fill priority gaps in coverage, with an emphasis on peatlands and coastal wetlands. ECCC plans to use the CNWI to train and validate machine-learning algorithms to delineate and classify wetlands at a national scale and measure trends over time. This will support Canada’s Nature-Based Climate Solutions by informing biodiversity conservation, climate change mitigation and adaptation, and reporting on greenhouse gas (GHG) emission reduction. In 2022-2023, CWS selected 30 candidate datasets to include in the CNWI, out of over 50 datasets where an initial assessment was completed. As of December 2023, the CNWI includes 13 source datasets as depicted in Figure 1, gathered from seven provinces/territories (BC, NB, NS, PEI, ON, QC, YK), which comprise approximately 4.1 million wetland polygon features and covers approximately 40 million hectares. The source datasets are available by province/territory. These source datasets were cross-walked into a standardized CNWI Classification Schema, which was built on two foundational documents: the Canadian Wetland Classification System (National Wetlands Working Group, 1997) and Canadian Wetland Inventory (Data Model, 2016). The CNWI Schema contains five major wetland classes: Bog, Fen, Swamp, Marsh, 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 related database, please refer to the CNWI User Manual and other supporting documents that accompanies this publication.

  2. a

    Canadian National Wetlands Inventory

    • catalogue.arctic-sdi.org
    • open.canada.ca
    Updated May 13, 2025
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    (2025). Canadian National Wetlands Inventory [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/d5af4ac5-ebdb-4645-bb0a-8ec5cac5e29f
    Explore at:
    Dataset updated
    May 13, 2025
    Description

    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.

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(2024). Canadian National Wetlands Inventory - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-d5af4ac5-ebdb-4645-bb0a-8ec5cac5e29f

Canadian National Wetlands Inventory - Catalogue - Canadian Urban Data Catalogue (CUDC)

Explore at:
Dataset updated
Sep 30, 2024
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Area covered
Canada
Description

The Canadian National Wetlands Inventory (CNWI) is a comprehensive publicly available national geodatabase developed by the Canadian Wildlife Services (CWS) of Environment and Climate Change Canada (ECCC), in collaboration with federal, provincial, territorial, academia, indigenous groups and Non-governmental organizations (NGOs). It consists of the best available wetland mapping and ground-truth data, along with its metadata, published in a standardized manner. Over time, not only existing data being complied but also new high-resolution data will be acquired to fill priority gaps in coverage, with an emphasis on peatlands and coastal wetlands. ECCC plans to use the CNWI to train and validate machine-learning algorithms to delineate and classify wetlands at a national scale and measure trends over time. This will support Canada’s Nature-Based Climate Solutions by informing biodiversity conservation, climate change mitigation and adaptation, and reporting on greenhouse gas (GHG) emission reduction. In 2022-2023, CWS selected 30 candidate datasets to include in the CNWI, out of over 50 datasets where an initial assessment was completed. As of December 2023, the CNWI includes 13 source datasets as depicted in Figure 1, gathered from seven provinces/territories (BC, NB, NS, PEI, ON, QC, YK), which comprise approximately 4.1 million wetland polygon features and covers approximately 40 million hectares. The source datasets are available by province/territory. These source datasets were cross-walked into a standardized CNWI Classification Schema, which was built on two foundational documents: the Canadian Wetland Classification System (National Wetlands Working Group, 1997) and Canadian Wetland Inventory (Data Model, 2016). The CNWI Schema contains five major wetland classes: Bog, Fen, Swamp, Marsh, 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 related database, please refer to the CNWI User Manual and other supporting documents that accompanies this publication.

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