Optimizing local climate zones to mitigate urban heat island effect in human settlements

J Yang, Y Wang, C Xiu, X Xiao, J Xia, C Jin - Journal of Cleaner Production, 2020 - Elsevier
Rapid urbanization has caused radical changes in urban climates. As a result, issues
related to urban thermal environments have become more prominent. Finding a balance …

Disaggregating population data for assessing progress of SDGs: methods and applications

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 …

Daily global solar radiation in China estimated from high‐density meteorological observations: a random forest model framework

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 …

Improving population mapping using Luojia 1-01 nighttime light image and location-based social media data

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 …

Using wavelet transforms to fuse nighttime light data and POI big data to extract urban built-up areas

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 …

Urban nighttime leisure space mapping with nighttime light images and POI data

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 …

Uncovering temporal changes in Europe's population density patterns using a data fusion approach

F Batista e Silva, S Freire, M Schiavina… - Nature …, 2020 - nature.com
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 …

Mapping the population density in mainland China using NPP/VIIRS and points-of-interest data based on a random forests model

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 …

Estimating building-scale population using multi-source spatial data

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 …

Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling

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 …