Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …

Abstract1 SLEUTH is a cellular automata (CA) model that has been successfully applied
worldwide over the last 15 years to simulate land use change. The objective of this paper is …

Human population continues to aggregate in urban centers. This inevitably increases the
urban footprint with significant consequences for biodiversity, climate, and environmental …

The way cities are evolving and expanding has been a challenging issue and several urban
growth models were proposed. Most of these models have common objectives but they differ …

Spatiotemporal data fusion is a cost-effective way to produce remote sensing images with
high spatial and temporal resolutions using multisource images. Using spectral unmixing …

Land suitability is one of the important variables influencing urbanization and needs to be
considered in urban growth simulation and modeling. The present study is aimed to …

This study uses genetic algorithms to formulate and develop land use plans. The restrictions
to be imposed and the variables to be optimized are selected based on current local and …

Land use/cover change (LUCC) has an important impact on the terrestrial carbon cycle. The
spatial distribution of regional carbon reserves can provide the scientific basis for the …

Dongting Lake wetland provides critical ecological functions in the Yangtze River Basin,
however its landscape pattern has changed during the past 20 years due to both climate …

Modeling the impacts of urbanization on carbon storage has become a critical and hot topic
in the fields of mitigating global warming. This study coupled urban expansion and land use …