3 datasets found
  1. g

    VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1) | gimi9.com

    • gimi9.com
    Updated Apr 16, 2020
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    (2020). VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1) | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_2ebb35d8-c82f-4a17-9c96-612ac3532d55
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    Dataset updated
    Apr 16, 2020
    Description

    Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55

  2. a

    VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1)

    • catalogue.arctic-sdi.org
    • datasets.ai
    • +2more
    Updated Jun 20, 2022
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    VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1) [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/search?keyword=vegetation%20cover
    Explore at:
    Dataset updated
    Jun 20, 2022
    Description

    Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55

  3. u

    VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1) - Catalogue -...

    • data.urbandatacentre.ca
    Updated Sep 30, 2024
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    (2024). VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1) - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-2ebb35d8-c82f-4a17-9c96-612ac3532d55
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    Dataset updated
    Sep 30, 2024
    Area covered
    Canada
    Description

    Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55

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Click to copy link
Link copied
Close
Cite
(2020). VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1) | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_2ebb35d8-c82f-4a17-9c96-612ac3532d55

VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1) | gimi9.com

Explore at:
Dataset updated
Apr 16, 2020
Description

Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2023 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55

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