Distributed fusion of heterogeneous remote sensing and social media data: A review and new developments

J Li, Z Liu, X Lei, L Wang - Proceedings of the IEEE, 2021 - ieeexplore.ieee.org
Despite the wide availability of remote sensing big data from numerous different Earth
Observation (EO) instruments, the limitations in the spatial and temporal resolution of such …

Crowdsourcing public engagement for urban planning in the global south: methods, challenges and suggestions for future research

EB Diop, J Chenal, SCK Tekouabou, R Azmi - Sustainability, 2022 - mdpi.com
Crowdsourcing could potentially have great benefits for the development of sustainable
cities in the Global South (GS), where a growing population and rapid urbanization …

Improving population map** 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 map**, which is vital to urban planning, public health, and
disaster management, has gained considerable attention in socioeconomic and …

Map** 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 …

Dynamic assessment of the impact of flood disaster on economy and population under extreme rainstorm events

X Su, W Shao, J Liu, Y Jiang, K Wang - Remote Sensing, 2021 - mdpi.com
In the context of climate change and rapid urbanization, flood disaster loss caused by
extreme rainstorm events is becoming more and more serious. An accurate assessment of …

The extraction of urban built-up areas by integrating night-time light and POI data—A case study of Kunming, China

Z Jun, Y ** multi-temporal population distribution in China from 1985 to 2010 using landsat images via deep learning
H Zhuang, X Liu, Y Yan, J Ou, J He, C Wu - Remote Sensing, 2021 - mdpi.com
Fine knowledge of the spatiotemporal distribution of the population is fundamental in a wide
range of fields, including resource management, disaster response, public health, and urban …

Adaptive weighted least squares (AWLS): A new vector-based model to improve urban population estimation at small-area scale using morphology and attractiveness …

M Sadeghi, M Karimi, H Rabiei-Dastjerdi, D Sarkar - Applied Geography, 2023 - Elsevier
Fine-resolution urban population map** is vital for many applications, including urban
planning and disaster management. However, these data are rarely available. Despite the …