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Found 1458 datasets matching "Canopy".

  • #1 City

    City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq This dataset was created to depict approximate tree canopy cover for all land within the City of Austin's...

    Search relevance: 113.75 | Views last month: 11
  • #2 City

    In preparation for the San Francisco Urban Forest Plan (2013), the Planning Department performed an Urban Tree Canopy (UTC) Analysis using aerial imagery and additional data sets to determine a...

    Search relevance: 108.83 | Views last month: 0
  • #3 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: 108.23 | Views last month: 0
  • #4 City

    A 6-in resolution tree canopy change (2010 - 2017) dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset represents a "top-down" mapping perspective and all...

    Search relevance: 106.89 | Views last month: 5
  • #5 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: 104.18 | Views last month: 1
  • #6 City

    The District of Columbia is home to a very diverse tree canopy, but it is not self-sustaining.  In order to promote overall canopy health, ensure tree diversity, and match each new planting to a...

    Search relevance: 103.86 | Views last month: 1
  • #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: 102.80 | Views last month: 0
  • #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: 102.31 | Views last month: 0
  • #9 Federal

    The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy...

    Search relevance: 101.65 | Views last month: 0
  • #10 City

    City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were...

    Search relevance: 101.64 | Views last month: 0
  • #11 City

    Tree canopy was mapped from leaf-off LiDAR collected in the spring of 2016 and leaf-on high-resolution imagery collected in the summer of 2015 to complete this tree canopy cover assessment. Tree...

    Search relevance: 101.56 | Views last month: 0
  • #12 Federal

    This data includes Lidar-derived canopy height raster datasets from 2006 and 2010 for Yosemite Valley

    Search relevance: 101.51 | Views last month: 0
  • #13 Federal

    This shapefile describes the canopy status and distribution of of ohia (Metrosideros polymorpha) forests on the eastern side of the island relative to a landscape-scale canopy dieback that...

    Search relevance: 101.45 | Views last month: 0
  • #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: 101.06 | Views last month: 0
  • #15 City

    City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were...

    Search relevance: 100.44 | Views last month: 0
  • #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: 100.42 | Views last month: 3
  • #17 City

    City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were...

    Search relevance: 99.90 | Views last month: 2
  • #18 City

    City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were...

    Search relevance: 99.90 | Views last month: 1
  • #19 Federal

    Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition,...

    Search relevance: 99.61 | Views last month: 2
  • #20 Federal

    Goddard’s LiDAR, Hyperspectral, and Thermal Imager ([G-LiHT](https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition,...

    Search relevance: 99.32 | Views last month: 0

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