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City
Land Cover Raster Data (2017) – 6in Resolution
City of New York —
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... -
Built Environment Indicators
District of Columbia —
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... -
City
DPD council districts shore clip - Absolute % Change
City of Seattle —
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... -
Land Cover 2020
District of Columbia —
These data represent detailed land cover in Washington, DC. The data were derived using remote sensing technologies on satellite imagery from the Pleiades satellite,... -
City
Seattle Tree Canopy 2021
City of Seattle —
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... -
City
Existing Tree Canopy %
City of Seattle —
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... -
City
Tree Inventory
City of Tempe —
This dataset includes Tempe’s tree inventory data and benefits of the trees as calculated by i-Tree Eco in October 2021. The dataset was put together by West Coast... -
City
Tree Canopy Change (2010 - 2017)
City of New York —
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-... -
City
Possible Tree Canopy - Vegetation %
City of Seattle —
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... -
City
Tempe Tree and Shade Coverage
City of Tempe —
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.... -
Urban Tree Canopy by Census Block Group in 2020
District of Columbia —
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... -
County
Tree Canopy
Loudoun County, Virginia —
An Assessment of Existing and Potential Tree Canopy in Loudoun County, Virginia.The interactive TreePlotter Canopy Mapping Tool illustrates how tree canopy coverage... -
City
Seattle Tree Canopy 2016 2021 Topo Basins
City of Seattle —
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... -
Federal
Urban landcover differentially drives day and nighttime air temperature across a semi-arid city
Department of the Interior —
Semi-arid urban environments are undergoing an increase in air temperatures, both in average temperatures and in the frequency and intensity of extreme heat events.... -
Federal
Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities - data release
Department of the Interior —
Urban land cover types influence the urban microclimates. However, recent work indicates the magnitude of land cover’s microclimate influence is affected by aridity.... -
City
topo basin Seattle v2 - Existing TC Percent
City of Seattle —
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... -
City
topo basin Seattle v2 - Relative % Change
City of Seattle —
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... -
City
Seattle Tree Canopy 2016 2021 SDOT Urban Forestry Management Units
City of Seattle —
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... -
Generalized Land Cover 2020
District of Columbia —
These data represent detailed land cover in Washington, DC. The data were derived using remote sensing technologies on satellite imagery from the Pleiades satellite,... -
Built Environment Indicators and Health Map
District of Columbia —
The online tool highlights how close in walking distance DC census tracts are to various features of the built environment spanning nine key drivers--education,...