17 datasets found for "Tree Heights"
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Federal
BLM Natl AIM Riparian and Wetland Indicators Hub
Department of the Interior —
This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in... -
DC Trees
District of Columbia —
DC 2022 LiDAR was used and processed using the “Extract Trees using Cluster Analysis” script which is included as part of Esri’s 3D Basemap solution. All LiDAR-derived... -
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... -
County
Loudoun Forest
Loudoun County, Virginia —
More MetadataForest tracts is a base map data layer derived by automated processes and processed for cartographic representation at 1:2400 scale. The polygon features... -
City
Urban Forestry - Canopy Cover 2021 Update 122821
City of Tempe —
Most up to date layer for 'Updated_122821_Tempe_CanopyCover_CensusBlock_2019'This dataset contains tree canopy cover layers as derived and calculated via a land... -
City
Louisville Metro KY - Russell WiFi Locations
Louisville Metro Government —
The difference from projected coverage area is due to the built and natural environment near the access points. For example, building and tree downgrade the signal... -
City
Seattle Tree Centroids 2021
City of Seattle —
This dataset represents tree centroids derived from LiDAR data. The tree centroids are the estimated location of the central point of each tree. The tree centroids... -
DC Estimated Trees
District of Columbia —
Dataset estimates location and size of trees in the District of Columbia that are not managed by the Urban Forestry Division (https://opendata.dc.gov/datasets/urban-... -
City
Seattle Tree Canopy 2021 Tree Crowns
City of Seattle —
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... -
DC Tree Structure and Benefits
District of Columbia —
DC 2022 LiDAR was used and processed using the “Extract Trees using Cluster Analysis” script which is included as part of Esri’s 3D Basemap solution. All LiDAR-derived... -
Federal
Geospatial data for the Vegetation Mapping Inventory Project of Tonto National Monument
Department of the Interior —
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.... -
Federal
EnviroAtlas -- Tacoma, WA -- Meter-Scale Urban Land Cover (MULC) Data (2011)
U.S. Environmental Protection Agency —
The Tacoma, WA Meter Urban Land Cover (MULC) dataset was generated from 1-meter image pixel resolution data sourced from 2011 USDA National Agricultural Imagery... -
Federal
BLM Natl AIM TerrADat Hub
Department of the Interior —
This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. It focuses on the BLM... -
Federal
BLM OR Site Potential Tree Height Featureclass Hub
Department of the Interior —
SPTH_POLY: The Site Potential Tree Height (SPTH_POLY) dataset represents spatial location and basic information about the average maximum height of the tallest... -
Federal
BLM Natl AIM LMF Hub
Department of the Interior —
This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. It focuses on the BLM terrestrial core... -
Federal
BLM Natl AIM TerrADat Public Geodatabase
Department of the Interior —
This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. It focuses on the BLM terrestrial core... -
Federal
BLM Natl AIM LMF Public Geodatabase
Department of the Interior —
This dataset was created to monitor the status, condition and trend of national BLM resources in accordance with BLM policies. It focuses on the BLM terrestrial core...
17 datasets found for "Tree Heights"