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Found 29 datasets matching filters.

  • #1 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 3 | Published on: 2025-07-29
  • #2 City

    This layer is a high-resolution Tree Canopy layer for Seattle, Washington. Tree canopy was mapped by using remotely sensed data from 2021. No accuracy assessment was conducted, but the dataset was...

    Search relevance: 1.00 | Views last month: 2 | Published on: 2025-07-29
  • #3 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 1 | Published on: 2025-07-29
  • #4 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 1 | Published on: 2025-07-29
  • #5 City

    This dataset represents tree centroids derived from LiDAR data. The tree centroids are the estimated location of the central point of each tree. The tree centroids were derived using LiDAR data....

    Search relevance: 1.00 | Views last month: 1 | Published on: 2025-07-29
  • #6 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 1 | Published on: 2025-07-29
  • #7 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 1 | Published on: 2025-07-29
  • #8 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #9 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #10 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #11 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #12 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #13 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #14 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #15 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #16 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #17 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #18 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #19 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29
  • #20 City

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods...

    Search relevance: 1.00 | Views last month: 0 | Published on: 2025-07-29

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