Urban Carbon Cycle

A spatial database of CO$_2$ emissions, urban form fragmentation and city-scale effect related impact factors for the low carbon urban system in Jinjiang city, China

This paper presented the spatial database collected in 2013 for mitigating the urban carbon emissions of Jinjiang city, China. The database included the high-resolution $CO_2$ emissions gridded maps, urban form fragmentation evaluation maps, and …

More fragmentized urban form more CO$_2$ emissions? A comprehensive relationship from the combination analysis across different scales

The “Scale effect” has always been the hot topic in landscape ecology research. Although, there are many studies on the driving force of urban environmental problems by using landscape metrics. Most studies are carried out in regional, continental and global scales. However, in this study, we explored the relationship between the urban form fragmentation and $CO_2$ emissions in the city scale from the perspective of dual resolution sizes and summarized the research conclusions that can be used in urban internal management based on the analysis results of small towns.

Creating a Carbon Source and Sink Map by Coupling an Ecological Process Model with an Emission Inventory to Study a Carbon Balance

Cities are typical sources of carbon and a focus of climate-change mitigation. Although there is great potential for reducing emissions in cities, constructing low-carbonemission cities under the carbon-emission reduction target of the 2016 Paris …

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.