AGSL GeoDiscovery
Wisconsin Department of Natural Resources - Urban Tree Density 500m 2022 - Open Data Link
- Description:
-
2022 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 2022 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-2022-open-data-link
- Identifier:
- https://www.arcgis.com/home/item.html?id=2e4aad69a11041568a6fcd62dfc61ca0
- Language:
- English
- Creator:
- Wisconsin Department of Natural Resources
- Provider:
- American Geographical Society Library – UWM Libraries
- Resource Class:
- Datasets
- Resource Type:
- Digital maps
- Temporal Coverage:
- Issued 2024
- Date Issued:
- 2024-10-10
- 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