Earth system modelling (ESM) is essential for understanding past, present and future Earth
processes. Deep learning (DL), with the data-driven strength of neural networks, has …

Computer vision (CV) technology, a key subset of artificial intelligence, provides powerful
tools for extracting valuable insights from visual data, which is a crucial component for the …

Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis
(GEOBIA) has emerged as a new paradigm to analyzing high-spatial resolution remote …

Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …

Remote sensing technology has been frequently used to obtain information on changes in
urban land cover because of its vast spatial coverage and timeliness of observation. Block …

Locale is one of the basic elements of place, referring to the physical settings and visual
appearance of a place. Understanding and representing a locale is of great importance in …

Land-use regression (LUR) models are frequently applied to estimate spatial patterns of air
pollution. Traditional LUR often relies on fixed-site measurements and GIS-derived variables …

Artificial intelligence technologies such as computer vision (CV), machine learning, Internet
of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies …

Ground reference data are an essential prerequisite for supervised crop mapping. The lack
of a low-cost and efficient ground referencing method results in pervasively limited reference …

Human perception of place refers to residents' psychological feelings about urban areas.
Many studies of human perceptions have focused on a specific geographic location …