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 …
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 …
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. The understanding of socioeconomic …
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 …
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 …
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 …
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 …
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 …
Routine and accurate data on deprivation are needed for urban planning and decision support at various scales (ie, from community to international). However, analyzing …