Found 77 datasets matching filters.
-
A 6-in resolution 8-class land cover dataset derived from the 2017 Light Detection and Ranging (LiDAR) data capture. This dataset was developed as part of an updated urban tree canopy assessment...
Search relevance: 1.00 | Views last month: 12 | Published on: 2025-08-02 -
These are terrestrial laser scanner datasets collected in forested areas west of Flagstaff, Arizona in 2015 and 2016. For each of the two scanners, six treatment areas were scanned, with four of...
Search relevance: 1.00 | Views last month: 10 | Published on: 2026-03-03 -
This data layer provides a comprehensive set of indicators related to the built environment and their impact on health outcomes across the District of Columbia. It encompasses 41 measures...
Search relevance: 1.00 | Views last month: 7 | Published on: 2026-01-27 -
These data represent Census Block Groups 2020 in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Census Block Groups 2020 within the study...
Search relevance: 1.00 | Views last month: 6 | Published on: 2026-01-27 -
This dataset contains tree canopy cover layers as derived and calculated via a land cover classification for the City of Tempe and Guadalupe using 2019 NAIP Imagery. The land cover classification...
Search relevance: 1.00 | Views last month: 5 | Published on: 2026-02-07 -
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: 1.00 | Views last month: 5 | Published on: 2025-08-02 -
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 -
The downloadable ZIP file contains a georeferenced TIF. The National Land Cover Database 2001 tree canopy layer was produced through a cooperative project conducted by the Multi-Resolution Land...
Search relevance: 1.00 | Views last month: 2 | Published on: 2025-08-02 -
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 -
Constituents who would like to remove a tree between 44” & 99.9” in circumference located on private property or in the public parking area, will need a Special Tree Permit available through the...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
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: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
These data represent DC Owned Lots in Washington, DC. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for DC Owned Lots within the study area. UTC results...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
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: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
These data represent detailed land cover in Washington, DC. The data were derived using remote sensing technologies on satellite imagery from the Pleiades satellite, flown in 2020 and 2020 DC...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
These data represent detailed land cover in Washington, DC. The data were derived using remote sensing technologies on satellite imagery from the Pleiades satellite, flown in 2020 and 2020 DC...
Search relevance: 1.00 | Views last month: 2 | Published on: 2026-01-27 -
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: 1.00 | Views last month: 1 | Published on: 2025-08-02 -
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: 1.00 | Views last month: 1 | Published on: 2025-08-02 -
This 30-meter resolution data set represents the tree canopy layer for the conterminous United States for the 2001 time period. The data have been arranged into four tiles to facilitate timely...
Search relevance: 1.00 | Views last month: 1 | Published on: 2026-03-07 -
These data were collected as part of a study to assess the stormwater volume reduction capabilities of urban street trees. In this paired-catchment study rainfall-runoff relations were developed...
Search relevance: 1.00 | Views last month: 1 | Published on: 2026-03-03 -
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
