On the reliable generation of 3D city models from open data
The battle for sustainability will be won or lost in cities. Currently more than 50% of the World’s population reside in urban areas and this figure is estimated to reach 68% by 2050. New and innovative approaches are needed for managing urban areas and this demands the generation of appropriate dat...
| Main Author: | Girindran, Renoy |
|---|---|
| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/66899/ |
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