Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

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 …

Trees contribute to carbon dioxide absorption through biomass, regulate the climate, support
biodiversity, enhance soil, air and water quality, and offer economic and health benefits …

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 …

Building footprint is a primary dataset of an urban geographic information system (GIS)
database. Therefore, it is essential to establish a robust and automated framework for large …

Trees are an integral part in European landscapes, but only forest resources are
systematically assessed by national inventories. The contribution of urban and agricultural …

Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …

The field of Artificial Intelligence (AI) can be roughly divided into two branches: Symbolic
Artificial Intelligence and Connectionist Artificial Intelligence (or so-called Subsymbolic AI) …