Urbanization is accelerating due to economic and societal development. The accurate
identification of urban functional zones is significant for urban structure optimization, urban …

OpenStreetMap (OSM) is a well-known crowdsourcing project which aims to create a
geospatial database of the whole world. Intrinsic approaches based on the analysis of the …

Urbanization often occurs in an unplanned and uneven manner, resulting in profound
changes in patterns of land cover and land use. Understanding these changes is …

Reliable representations of global urban extent remain limited, hindering scientific progress
across a range of disciplines that study functionality of sustainable cities. We present an …

We explored the potential for rapid land use/land cover (LULC) map** using time-series
Landsat satellite imagery and training data (for supervised classification) automatically …

Uncertainty over the data quality of Volunteered Geographic Information (VGI) is the largest
barrier to the use of this data source by National Map** Agencies (NMAs) and other …

OpenStreetMap (OSM) can supply useful information to improve land-cover/land-use
(LCLU) map**. However, many concerns have been paid attention to OSM data quality …

The penetration of devices integrated with location-based services and internet services has
generated massive data about the everyday life of citizens and tracked their activities …

The use of smartphone technology is increasingly considered a state-of-the-art practice in
travel data collection. Researchers have investigated various methods to automatically …

The knowledge of the spatial and temporal distribution of human population is vital for the
study of cities, disaster risk management or planning of infrastructure. However, information …