Found 449 datasets matching "Tree canopy".
-
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: 196.93 | Views last month: 11 -
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: 187.15 | Views last month: 0 -
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: 184.03 | Views last month: 5 -
This dataset represents tree crowns derived from LiDAR data. Tree crowns are defined as circles that fitted to the approximated radius of a tree's branches and leaves. The tree crowns were derived...
Search relevance: 178.31 | Views last month: 2 -
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: 177.17 | 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: 175.58 | Views last month: 0 -
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: 175.09 | Views last month: 0 -
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: 175.01 | Views last month: 2 -
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: 175.01 | 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: 174.57 | Views last month: 3 -
Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial...
Search relevance: 174.53 | 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: 173.21 | Views last month: 0 -
Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial...
Search relevance: 172.94 | Views last month: 0 -
Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial...
Search relevance: 171.53 | Views last month: 2 -
Polygons of Urban Tree Canopy in Washington, DC in 2015. These data represent detailed urban tree canopy cover in Washington, D.C. The data were derived using remote sensing technologies on aerial...
Search relevance: 171.53 | 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: 168.73 | Views last month: 2
