Urban Tree Canopy 2021

Published by NashvilleOpenData

<div><p>The results, based on 2021 imagery from the USDA’s National Agriculture Imagery Program (NAIP).  This study utilized modern machine learning techniques to create tree canopy data that are reproducible and allow for a more uniform comparison in future tree canopy analysis.  LiDAR data was used to assist the classification model by applying a 10ft threshold to the LiDAR-derived canopy, chosen for its effectiveness in identifying young trees. The primary use of LiDAR was to supplement the AI-canopy by capturing small trees, particularly crucial in the 2021 data due to the leaf-off condition of the NAIP imagery. Using this supplemental data, anything below 10ft was categorized as herbaceous or shrubs.</p></div><div><br /></div><div><div><font size='3'>Source Link: </font><a href='https://www.nashville.gov/departments/water/stormwater/tree-information/urban-tree-canopy' target='_blank' rel='nofollow ugc noopener noreferrer'>https://www.nashville.gov/departments/water/stormwater/tree-information/urban-tree-canopy</a><font size='3'><br /></font><div><font size='3'>Metadata Document: </font><a href='https://nashville.maps.arcgis.com/sharing/rest/content/items/015392a9c4084fc3a0f097e6ec3709e7/data' target='_blank' rel='nofollow ugc noopener noreferrer'>Urban Tree Canopy 2021 Metadata.pdf</a></div></div><div><font size='3'>Contact Data Owner: </font><a href='mailto:opendata@nashville.gov?subject=Urban Tree Canopy 2021' target='_blank' rel='nofollow ugc noopener noreferrer'>opendata@nashville.gov</a></div></div><div><br /></div>