Urbanization in the global South has been accompanied by the proliferation of vast informal
and marginalized urban areas that lack access to essential services and infrastructure. UN …

Can features extracted from high spatial resolution satellite imagery accurately estimate
poverty and economic well-being? The present study investigates this question by extracting …

Tracking progress in poverty alleviation and promptly identifying the distribution of poor
areas are critical for strategic policy interventions, especially for regions with poor statistical …

Despite significant progress in Ghana's HIV response, disparities in HIV prevalence persist
among different populations. Gays, bisexuals, and other men who have sex with men …

Poverty statistics are conventionally compiled using data from socioeconomic surveys. This
study examines an alternative approach to estimating poverty by investigating whether …

Several methods have been proposed for using satellite imagery to model poverty. These
include poverty mapping using convolutional neural networks applied either directly or using …

Sustainability | Free Full-Text | Earth Observations and Statistics: Unlocking
Sociodemographic Knowledge through the Power of Satellite Images Next Article in Journal …

In the intricate landscape of mapping urban slum dynamics, the significance of robust and
efficient techniques is often underestimated and remains absent in many studies. This not …

Poverty reduction in low‐and middle‐income countries is increasingly an urban challenge,
and a challenge that continues to be constrained by lack of data, including data on the …

Reliable data on slums or deprived living conditions remain scarce in many low-and middle-
income countries (LMICs). Global high-resolution maps of deprived areas are fundamental …