An OpenStreetMap derived building classification dataset for the United States
Abstract Building classification is crucial for population estimation, traffic planning, urban planning, and emergency response applications. Although essential, such data is often not readily available. To alleviate this problem, this work presents a comprehensive dataset by providing residential/n...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04046-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|