Found 59 datasets matching "Urban Tree Canopy Assessment".
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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: 234.51 | Views last month: 7 -
Download UrbanTreeCanopy_2019.zip. The following information was produced from the 2019 Urban Tree Canopy Assessment for Jefferson County, KY sponsored by Trees Louisville. It is based on 2019...
Search relevance: 79.76 | Views last month: 1 -
Download UrbanTreeCanopy_2015.zip. The following information was produced from the 2015 Urban Tree Canopy Assessment for the City of Louisville, KY sponsored by the Office of Sustainability. It is...
Search relevance: 77.33 | Views last month: 1 -
The launch of Sustainable DC in 2011 established a goal of achieving a citywide tree canopy goal of 40% by 2032. To track our progress toward this goal, DDOT's Urban Forestry Division performs...
Search relevance: 75.40 | Views last month: 5 -
The New York, NY EnviroAtlas Meter-scale Urban Land Cover (MULC) Data were generated by the University of Vermont Spatial Analysis Laboratory (SAL) under the direction of Jarlath O'Neil-Dunne as...
Search relevance: 74.65 | Views last month: 0 -
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: 72.86 | Views last month: 0 -
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: 72.85 | Views last month: 1 -
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: 72.82 | Views last month: 0 -
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: 72.68 | Views last month: 0 -
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: 72.54 | Views last month: 2 -
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: 72.42 | Views last month: 0 -
City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq Possible planting space, abbreviated PPS, or plantable space, estimates land available for tree planting....
Search relevance: 71.67 | Views last month: 2 -
6 inch resolution raster image of New York City, classified by landcover type. High resolution land cover data set for New York City. This is the 6 inch version of the high-resolution land...
Search relevance: 70.49 | Views last month: 2 -
High resolution land cover data set for New York City. This is the 3ft version of the high-resolution land cover dataset for New York City. Seven land cover classes were mapped: (1) tree canopy,...
Search relevance: 70.12 | Views last month: 1 -
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: 69.03 | Views last month: 0 -
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: 69.03 | Views last month: 0 -
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: 68.85 | Views last month: 1 -
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: 68.81 | Views last month: 0 -
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: 68.67 | Views last month: 0
