Using satellite imagery to understand and promote sustainable development

M Burke, A Driscoll, DB Lobell, S Ermon - Science, 2021 - science.org
BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …

Slums from space—15 years of slum mapping using remote sensing

M Kuffer, K Pfeffer, R Sliuzas - Remote Sensing, 2016 - mdpi.com
The body of scientific literature on slum mapping employing remote sensing methods has
increased since the availability of more very-high-resolution (VHR) sensors. This improves …

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 …

Computational socioeconomics

J Gao, YC Zhang, T Zhou - Physics Reports, 2019 - Elsevier
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Extraction of slum areas from VHR imagery using GLCM variance

M Kuffer, K Pfeffer, R Sliuzas… - IEEE Journal of selected …, 2016 - ieeexplore.ieee.org
Many cities in the global South are facing the emergence and growth of highly dynamic slum
areas, but often lack detailed information on these developments. Available statistical data …

[HTML][HTML] Towards user-driven earth observation-based slum mapping

M Owusu, M Kuffer, M Belgiu, T Grippa… - … , environment and urban …, 2021 - Elsevier
Earth observation (EO) capabilities to produce up-to-date geographical information on slums
over large areas supporting urban planning and evidence-based policymaking are largely …

[HTML][HTML] Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas

E Suel, S Bhatt, M Brauer, S Flaxman… - Remote Sensing of …, 2021 - Elsevier
Data collected at large scale and low cost (eg satellite and street level imagery) have the
potential to substantially improve resolution, spatial coverage, and temporal frequency of …

The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries

M Kuffer, DR Thomson, G Boo, R Mahabir, T Grippa… - Remote sensing, 2020 - mdpi.com
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 …

Slum mapping in polarimetric SAR data using spatial features

M Wurm, H Taubenböck, M Weigand… - Remote sensing of …, 2017 - Elsevier
Driven by massive urbanization processes, particularly in developing countries, people flock
into the cities resulting in an evolution of large slum areas. Mapping and monitoring of slum …

Spatial information gaps on deprived urban areas (slums) in low-and-middle-income-countries: A user-centered approach

M Kuffer, J Wang, DR Thomson, S Georganos… - Urban Science, 2021 - mdpi.com
Routine and accurate data on deprivation are needed for urban planning and decision
support at various scales (ie, from community to international). However, analyzing …