Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …

During the past decades, multiple remote sensing data sources, including nighttime light
images, high spatial resolution multispectral satellite images, unmanned drone images, and …

Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …

With the rise of GeoAI research, streetscape imagery has received extensive attention due to
its comprehensive coverage, abundant information, and accessibility. However, obtaining a …

OpenStreetMap (OSM) is an essential source for acquiring building data, although such data
may suffer from quality issues. Many studies have focused on assessing OSM building data …

Urban land-use maps outlining the distribution, pattern, and composition of various land use
types are critically important for urban planning, environmental management, disaster …

A sufficiently early and accurate prediction can help to steer crop yields more consciously,
resulting in food security, especially with an expanding world population. Additionally …

Building type prediction is a critical task for urban planning and population estimation. The
growing availability of multi-source data presents rich semantic information for building type …

High-intensity human activities have caused dramatic transformations of land function in
China's coastal zone, putting enormous pressure on the region's ecological environment. It …

Urban residents' well-being relies on fair access to living service amenities. To plan better
living service amenities, planners need to balance supply and demand and find gaps and …