UCNN: deep-learning urban canopy model for complex building morphologies
Simulation 2.4 GB
Training and testing data and code for UCNN, a deep-learning urban canopy model for complex building morphologies.
- Resource
- Software & tools, Simulation output
- Method
- ML / surrogate
- Geometry
- Realistic neighbourhood
- Topic
- Parameterisation
- Codes / models
- UCNN
- Data volume
- 2.4 GB
- Year
- 2025
- Licence
- CC BY 4.0
- Creators
- meng
From Zenodo, added 2026-11-07. Listed there as “Training and Testing Data, Associated Code for UCNN(a deep learning-based urban canopy model designed for complex building morphologies)”. Tags proposed by AI and not yet checked by hand. Spotted a mistake? Tell the portal contacts.