Go to Charlotte.edu
(Very-High-Resolution Land Cover/Use Database)
Understand Complex Urban Landscapes with Cutting-edge Geospatial Science and Artificial Intelligence Achieve A Sustainable and Equitable Future
1 meter
Spacial Resolution
25 cities
Major U.S. Metro Areas
9 classes
Land Cover/Use
91.52%
Overall Accuracy
52+ million
Training Samples
AI for Urban Knowledge Discovery
Understand complex urban landscapes with cutting-edge geospatial science and artificial intelligence.
Accurate land cover/use mapping
Cover 23 cities and contain 9 LCLU classes with an overall accuracy of 91.52% and Kappa statistic of 0.844.
Multi-view effect correction
Provide comprehensive and unique context information across different urban scenes.
Open access to users
Support urban research, management and outreach activities under an open access license.
Credible Urban Land Cover and Land Use Mapping Across Diverse Neighborhoods
