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Found 232 datasets matching "Existing Tree Canopy %".

  • #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: 225.70 | Views last month: 6 | Catalog Last Checked: September 10, 2026 at 06:05 PM
  • #2 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: 216.54 | Views last month: 2 | Catalog Last Checked: September 10, 2026 at 06:04 PM
  • #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: 215.79 | Views last month: 0 | Catalog Last Checked: September 10, 2026 at 06:04 PM
  • #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: 198.24 | Views last month: 3 | Catalog Last Checked: September 10, 2026 at 06:04 PM
  • #5 Federal

    This data release is a subset of the 2010 LANDFIRE Existing Vegetation Cover, covering the Russian River watershed. This LANDFIRE data was downloaded and processed in 2014. The LANDFIRE existing...

    Search relevance: 71.51 | Views last month: 3 | Catalog Last Checked: September 10, 2026 at 10:15 PM
  • #6 City

    Tree Canopy (TC) Assessment metrics for New York City. This dataset consists of TC metrics summarized to several different sets of geographic base layers. The metrics presented in this table are...

    Search relevance: 69.90 | Views last month: 3 | Catalog Last Checked: September 10, 2026 at 06:32 PM
  • #7 City

    Possible planting space (PPS) or plantable space, estimates land available for tree planting. Data were derived using a U.S. Forest Service method called the Urban Tree Canopy assessment. This...

    Search relevance: 69.13 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 06:31 PM
  • #8 County

    An Assessment of Existing and Potential Tree Canopy in Loudoun County, Virginia.The interactive TreePlotter Canopy Mapping Tool illustrates how tree canopy coverage is distributed across Loudoun...

    Search relevance: 67.34 | Views last month: 0 | Catalog Last Checked: August 08, 2025 at 08:51 AM
  • #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: 66.42 | Views last month: 2 | Catalog Last Checked: September 10, 2026 at 06:05 PM
  • #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: 66.09 | Views last month: 0 | Catalog Last Checked: September 10, 2026 at 06:05 PM
  • #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: 65.88 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 06:05 PM
  • #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: 65.33 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 06:05 PM
  • #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: 65.12 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 06:04 PM
  • #14 Federal

    The LANDFIRE (LF) 2001 Existing Vegetation Cover (EVC) product represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and...

    Search relevance: 64.09 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 08:49 PM
  • #15 Federal

    The LANDFIRE (LF) 2001 Existing Vegetation Cover (EVC) product represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and...

    Search relevance: 63.79 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 08:08 PM
  • #16 Federal

    This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from...

    Search relevance: 63.47 | Views last month: 1 | Catalog Last Checked: November 04, 2026 at 12:53 AM
  • #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: 63.30 | Views last month: 0 | Catalog Last Checked: September 10, 2026 at 06:04 PM
  • #18 Federal

    The LANDFIRE (LF) 2001 Existing Vegetation Cover (EVC) product represents the vertically projected percent cover of the live canopy for a 30-m cell. EVC is produced separately for tree, shrub, and...

    Search relevance: 63.20 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 09:17 PM
  • #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: 62.98 | Views last month: 2 | Catalog Last Checked: September 10, 2026 at 06:04 PM
  • #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: 62.98 | Views last month: 1 | Catalog Last Checked: September 10, 2026 at 06:04 PM

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