There is a scientific consensus on the need for spatially detailed information on urban
landscapes at a global scale. These data can support a range of environmental services …

Building height is a crucial variable in the study of urban environments, regional climates,
and human-environment interactions. However, high-resolution data on building height …

Geospatial data of the building stock is essential in many domains pertaining to the built
environment. These datasets are often provided by governments, but crowdsourcing them …

Abstract Three-dimensional (3D) building structures are vital to understanding urban
dynamics. Monocular remote sensing imagery is a cost-effective data source for large-scale …

Settlements, and in particular cities, are at the center of key future challenges related to
global change and sustainable development. Widely used indicators to assess the efficiency …

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 …

Urban areas and their vertical characteristics have a manifold and far-reaching impact on
our environment. However, openly accessible information at high spatial resolution is still …

Remote sensing of urban environments has unveiled a significant shift from single-city
investigations to the inclusion of multiple cities. Originated from the ideas of the Remote …

The dynamics of societal material stocks such as buildings and infrastructures and their
spatial patterns drive surging resource use and emissions. Two main types of data are …