Data to support the sample size optimisation part of 'Scalable 3D mapping of cities using computer vision and signals of opportunity'

Data to support the sample size optimisation part of:

Anahid Basiri, Terence Lines & Miguel Fidel Pereira (2023) Scalable 3D mapping of cities using computer vision and signals of opportunity, International Journal of Geographical Information Science, 37:7, 1470-1495, DOI: 10.1080/13658816.2023.2191674

The authors received the support from the UK Research and Innovation Future Leaders Fellowship “Indicative Data: Extracting 3D Models of Cities from Unavailability and Degradation of Global Navigation Satellite Systems (GNSS)”, grant number MR/S01795X/2, the Royal Society Research Grant, grant reference RSG/R1/180396.