Wisconsin Department of Natural Resources - Urban Tree Density 500m 2020
- Description:
-
**clicking Open from the AGOL item details page will download this data automatically**2020 tree canopy data averaged across 500-meter squares for all 2010 Census urban
areas in the State of Wisconsin, as
well as adjacent lands. Each pixel has a ¼-km2 resolution and represents the
estimated tree canopy cover within that area.The classification was produced from tree canopy data
derived from imagery collected by the U.S. Department of Agriculture’s National
Agriculture Imagery Program in 2020 using a supervised machine learning
classifier. The tree model was created specifically to only identify trees. A statewide
training dataset composed of tree, turf, building, road, and water data was
utilized to build that model. Quality analysis of the results showed that there
were no systematic biases based on geography or community size. This dataset was automatically cataloged from the creator's Open Data Portal. In some cases, publication year and bounding coordinates shown here may be incorrect. Additional download formats may be available on the author's website. Please check the 'More details at' link for additional information. - Resource Link:
- https://data-wi-dnr.opendata.arcgis.com/documents/wi-dnr::urban-tree-density-500m-2020
- Identifier:
- https://www.arcgis.com/home/item.html?id=f35ec8cb107c4a669596e1bd8ee5a31e
- Language:
- English
- Creator:
- Wisconsin Department of Natural Resources
- Provider:
- American Geographical Society Library – UWM Libraries
- Resource Class:
- Datasets and Imagery
- Resource Type:
- Digital maps
- Temporal Coverage:
- Issued 2024
- Date Issued:
- 2024-09-20
- Spatial Coverage:
- Wisconsin and United States
- Rights:
-
Although this data is being distributed by the American Geographical Society Library at the University of Wisconsin-Milwaukee Libraries, no warranty expressed or implied is made by the University as to the accuracy of the data and related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the University in the use of this data, or related materials.
- Access Rights:
- Public