Y Qiu, X Zhao, D Fan, S Li, Y Zhao - International Journal of Digital …, 2022 - Taylor & Francis
Rapid population growth has had a significant impact on society, economy and environment, which will challenge the achievement of the United Nations Sustainable Development Goals …
Z Zeng, Z Wang, K Gui, X Yan, M Gao… - Earth and Space …, 2020 - Wiley Online Library
Accurate estimation of the spatiotemporal variations of solar radiation is crucial for assessing and utilizing solar energy, one of the fastest‐growing and most important clean and …
L Wang, H Fan, Y Wang - Science of The Total Environment, 2020 - Elsevier
Fine-resolution population mapping, which is vital to urban planning, public health, and disaster management, has gained considerable attention in socioeconomic and …
X He, C Zhou, J Zhang, X Yuan - Remote Sensing, 2020 - mdpi.com
Urban built-up areas are not only the embodiment of urban expansion but also the main space carrier of urban activities. Accurate extraction of urban built-up areas is of great …
J Liu, Y Deng, Y Wang, H Huang, Q Du, F Ren - Remote Sensing, 2020 - mdpi.com
Urban nighttime leisure spaces (UNLSs), important urban sites of nighttime economic activity, have created enormous economic and social benefits. Both the physical features …
The knowledge of the spatial and temporal distribution of human population is vital for the study of cities, disaster risk management or planning of infrastructure. However, information …
Y Wang, C Huang, M Zhao, J Hou, Y Zhang, J Gu - Remote Sensing, 2020 - mdpi.com
Understanding the spatial distribution of populations at a finer spatial scale has important value for many applications, such as disaster risk rescue operations, business decision …
S Shang, S Du, S Du, S Zhu - Cities, 2021 - Elsevier
Fine-scale population distribution data is essential for social and geographical studies, such as social resource analysis, emergency evacuation, business decision-making and urban …
Y Mei, Z Gui, J Wu, D Peng, R Li, H Wu… - Geo-spatial Information …, 2022 - Taylor & Francis
Population spatialization is widely used for spatially downscaling census population data to finer-scale. The core idea of modern population spatialization is to establish the association …