The remarkable achievements of ChatGPT and Generative Pre-trained Transformer 4 (GPT-
4) have sparked a wave of interest and research in the field of large language models …

This study focuses on the development of a new framework for evaluating bikeability in
urban environments with the aim of enhancing sustainable urban transportation planning …

Ethics is a central and growing concern in all applications utilizing artificial intelligence (AI).
Earth observation (EO) and remote sensing (RS) research relies heavily on both big data …

Assigning detailed use categories to buildings is a challenging and relevant task in urban
land use classification with applications in urban planning, digital city modelling and …

Tiny objects in satellite videos are usually not independent individuals; there exist rich
semantic and temporal relations with each other. Thus, modeling and reasoning the …

Content in location-based games (LBGs) fundamentally depends on the location, and its
global coverage is challenging. Typical content creation approaches involve crowdsourcing …

Although Earth observation (EO) is considered a universal scientific technique with a
hegemonic gaze, national sociotechnical imaginaries shape its practice. Historically …

Given a natural language expression and a remote sensing image, the goal of referring
remote sensing image segmentation (RRSIS) is to generate a pixel-level mask of the target …

Geolocated social media data hold a hitherto untapped potential for exploring the
relationship between user mobility and their interests at a large scale. Using geolocated …

Urban studies require a rich set of information sources and techniques that enable a
comprehensive depiction of urban environments. Remote sensing captures physical …