Remote sensing of night light emissions in the visible band offers a unique opportunity to
directly observe human activity from space. This has allowed a host of applications including …

Nighttime light (NTL) remote sensing data offer unique capabilities to characterize both the
extent and intensity of human activities and have been extensively used to understand …

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

A central aim of the “lighting revolution”(the transition to solid-state lighting technology) is
decreased energy consumption. This could be undermined by a rebound effect of increased …

Achieving synergistic control of air pollution and carbon emissions is crucial for addressing
environmental changes. This study aims to assess the synergy level of pollution and carbon …

Scientific contributions from remote sensing over the last fifty years have significantly
advanced our understanding of urban areas. Key contributions of urban remote sensing …

The Open-source Data Inventory for Anthropogenic CO 2 (ODIAC) is a global high-spatial-
resolution gridded emissions data product that distributes carbon dioxide (CO 2) emissions …

Regional carbon emission efficiency (CEE) has differentiated characteristics under different
economic development stages and patterns, and identifying such characteristics is important …

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 …

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 …