EO & RS

The spatiotemporal distribution pattern of the surface temperatures of urban forest canopies (STUFC) is influenced by many environmental factors, and the identification of interactions between these factors can improve simulations and predictions of …

This study gridded the CO$_2$ Emissions at the urban scale and quantified the uncertainties.

Mapping direct carbon emissions at high-resolution in urban environments could help in the development of measures to mitigate carbon emissions through optimizing the layout of inner structures. It requires the use of a mapping method combining the …

Integration of Landsat images and multisource data using spatial statistical analysis and geographical detector models can reveal the individual and interactive influences of anthropogenic activities and ecological factors on concentrations of …

We want to know how the pattern of grassland and water influence the hydrological process of cities.

This study analyzed the environmental effect of urban form on PM2.5 by multi-sources data.

We used multi-sources data, machine learning and spatial statistics to devlop the accurate air pollution map.

We used machine learning, spatial statistics, ecological process model and remote sensing to construct map of urban carbon cycle.

We explored the spatial-temporal GIS theory and its applications.