With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth observation (EO) data featuring considerable and complicated heterogeneity are …

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 …

Classification of land use and land cover from remote sensing images has been widely used
in natural resources and urban information management. The variability and complex …

In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …

Remote sensing imagery (RSI) and point of interest (POI) are two complementary data for
urban functional zone (UFZ) extraction. However, current methods only use single data or …

Roadside noise barriers (RNBs) are important urban infrastructures to ensure that cities
remain liveable. However, the absence of accurate and large-scale geospatial data on …

Urban research is progressively moving towards fine-grained simulation and requires more
granular and accurate geospatial data. In comparison to building footprints, roof structure …

Geo-simulation experiments (GSEs) are experiments allowing the simulation and
exploration of Earth's surface (such as hydrological, geomorphological, atmospheric …

Point cloud data can accurately and intuitively reflect the spatial relationship between the
coal wall and underground fully mechanized mining equipment. However, the indirect …