Nighttime light observations from remote sensing provide us with a timely and spatially
explicit measure of human activities, and therefore enable a host of applications such as …

Cities produce over 70% of global carbon emissions and are thus crucial in driving climate
change. Urban carbon emissions may continue to increase especially in those less …

Transformer, an attention-based encoder–decoder model, has already revolutionized the
field of natural language processing (NLP). Inspired by such significant achievements, some …

As fundamental data, gross domestic product (GDP) and electricity consumption can be
used to effectively evaluate economic status and living standards of residents. Some …

With the implementation of China's top-down CO2 emissions reduction strategy, the regional
differences should be considered. As the most basic governmental unit in China, counties …

This paper explores the factors that improve the efficiency of urban carbon emissions. Based
on nighttime light data, the carbon emissions of 282 cities in China from 2004 to 2018 are …

Timely and accurate extraction of urban built-up areas is crucial to addressing
environmental problems related to fast changes in urban land cover, which is fundamental …

As national efforts to reduce CO2 emissions intensify, policy-makers need increasingly
specific, subnational information about the sources of CO2 and the potential reductions and …

Urban areas have become one of the main sources of CO 2 emissions. Considering the
spatial interactions between county scale and prefectural scale divisions and spatial …

Cities produce over 70% of the global CO 2 emissions that result from energy use, and thus
play a key role in climate mitigation and adaptation. While the factors influencing CO 2 …