Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance.
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …

The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

Rural revitalization is not only a strategy to promote sustainable rural development in
develo** countries, but also an inevitable trend towards global urbanization. This study …

Characterising and analysing urban morphology is a continuous task in urban data science,
environmental analyses, and many other domains. As the availability and quality of data on …

Abstract Knowledge of building height is critical for understanding the urban development
process. High-resolution optical satellite images can provide fine spatial details within urban …

Building height is one of the key variables in studying anthropogenic activities and built
environments in the urban system. However, the information of urban building height over …

Land use regression (LUR) models are widely used in epidemiological and environmental
studies to estimate humans' exposure to air pollution within urban areas. However, the early …

The Smart Cities data and applications need to replicate, as faithfully as possible, the state
of the city and to simulate possible alternative futures. In order to do this, the modelling of the …

Cities are particularly vulnerable to meteorological hazards because of the concentration of
population, goods, capital stock and infrastructure. Urban climate services require multi …

Building footprints are the most visible features in urban areas. Detecting building footprint
has a substantial position in decision-making problems such as city planning and …