In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …

Cellular Automata (CA) are widely used to model the dynamics within complex land use and
land cover (LULC) systems. Past CA model research has focused on improving the technical …

Exploring future changes in land use and carbon storage (CS) under different climate
scenarios is important for optimizing regional ecosystem service functions and formulating …

A land use simulation model with coupling constraints of ecological security patterns (ESPs)
and multiple scenarios (MSs) was developed using the PLUS model. The research scale …

Due to the increase in future uncertainty caused by rapid environmental, societal, and
technological change, exploring multiple scenarios has become increasingly important in …

Carbon dioxide emissions are the main drivers of global warming and extreme weather
disasters caused by global warming have posed a threat to sustainable development and …

Urban boundaries, an essential property of cities, are widely used in many urban studies.
However, extracting urban boundaries from satellite images is still a great challenge …

Exploring future land use changes and assessing the habitat quality remains a challenging
topic for watershed ecological sustainability. However, most studies ignore the effects of …

Land use and cover change (LUCC) can often threaten urban ecological space and cause
enormous impacts on the ecosystem, and sustainable ecological security patterns (ESPs) …

The multi-scenario simulation of urban land can effectively reveal the characteristics and
trends of changes in urban space and the contradictions of land use in urban sustainable …