Spatio-temporal dynamics of human-induced carbon emissions in Southeast Asia (1992-2022) based on nighttime light. [PDF]
Huang C +6 more
europepmc +1 more source
Increased artificial illumination delays urban autumnal foliar senescence. [PDF]
Chen Y +4 more
europepmc +1 more source
Forecasting electricity consumption of India through nighttime satellite imagery. [PDF]
R D +4 more
europepmc +1 more source
Nighttime light dynamics reveal peri-urban brightening and population decoupling in the Chengdu Chongqing megaregion. [PDF]
Liang W, Liu R, Kou P.
europepmc +1 more source
Examining spatiotemporal dynamics of CO2 emission at multiscale based on nighttime light data. [PDF]
Zhang B, Liang Z, Guo W, Cui Z, Li D.
europepmc +1 more source
Shedding light on development: Leveraging the new nightlights data to measure economic progress. [PDF]
Jhamb P +4 more
europepmc +1 more source
Spatiotemporal dynamics and driving factors of energy-related carbon emissions in the Yangtze River Delta region based on nighttime light data. [PDF]
Xue H, Ma Q, Ge X.
europepmc +1 more source
Spatial-temporal evolution analysis of cultural tourism industry coupling coordination in maritime silk road port cities: a multi-source remote sensing approach. [PDF]
Liu D, Xie Q, Li Q, Wu Y.
europepmc +1 more source
Assessing plague risk across seven decades of environmental change in Inner Mongolia, China: An interpretable machine learning. [PDF]
Wang X +6 more
europepmc +1 more source
Spatialisation of Electricity Consumption in China Based on Nighttime Light Remote Sensing from 2012 to 2023. [PDF]
Wang Y, Wu M, Niu Z.
europepmc +1 more source

