Urban Carbon Cycle

Improving the prediction accuracy of forest aboveground biomass benchmark map by integrating machine learning and spatial statistics

We present a low-cost method to create high-precision, spatially explicit reference maps of large-scale forest aboveground biomass (AGB) to provide a scientific basis for quantitative assessment of forest management decisions involving, for example, …

High-Resolution Mapping of Direct CO$_2$ Emissions and Uncertainties at the Urban Scale

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

High-resolution mapping of direct CO$_2$ emissions and uncertainties at the urban scale

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 …

Urban Carbon Cycle

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