[HTML][HTML] The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries
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 …
and marginalized urban areas that lack access to essential services and infrastructure. UN …
Poverty from space: Using high resolution satellite imagery for estimating economic well-being
R Engstrom, J Hersh… - The World Bank Economic …, 2022 - academic.oup.com
Can features extracted from high spatial resolution satellite imagery accurately estimate
poverty and economic well-being? The present study investigates this question by extracting …
poverty and economic well-being? The present study investigates this question by extracting …
[HTML][HTML] Village-level poverty identification using machine learning, high-resolution images, and geospatial data
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 …
areas are critical for strategic policy interventions, especially for regions with poor statistical …
[HTML][HTML] Qualitative description of interpersonal HIV stigma and motivations for HIV testing among gays, bisexuals, and men who have sex with men in Ghana's slums …
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 …
among different populations. Gays, bisexuals, and other men who have sex with men …
[HTML][HTML] Predicting poverty using geospatial data in Thailand
N Puttanapong, A Martinez Jr, JAN Bulan… - … International Journal of …, 2022 - mdpi.com
Poverty statistics are conventionally compiled using data from socioeconomic surveys. This
study examines an alternative approach to estimating poverty by investigating whether …
study examines an alternative approach to estimating poverty by investigating whether …
Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning
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 …
include poverty mapping using convolutional neural networks applied either directly or using …
[HTML][HTML] Earth observations and statistics: Unlocking sociodemographic knowledge through the power of satellite images
P Merodio Gómez, OJ Juarez Carrillo, M Kuffer… - Sustainability, 2021 - mdpi.com
Sustainability | Free Full-Text | Earth Observations and Statistics: Unlocking
Sociodemographic Knowledge through the Power of Satellite Images Next Article in Journal …
Sociodemographic Knowledge through the Power of Satellite Images Next Article in Journal …
Quantifying uncertainty in slum detection: advancing transfer-learning with limited data in noisy urban environments
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 …
efficient techniques is often underestimated and remains absent in many studies. This not …
Using satellite data to guide urban poverty reduction
TP Sohnesen, P Fisker… - Review of Income and …, 2022 - Wiley Online Library
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 …
and a challenge that continues to be constrained by lack of data, including data on the …
[HTML][HTML] Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa
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 …
income countries (LMICs). Global high-resolution maps of deprived areas are fundamental …