Slums from space—15 years of slum mapping using remote sensing
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 …
increased since the availability of more very-high-resolution (VHR) sensors. This improves …
The scope of earth-observation to improve the consistency of the SDG slum indicator
The continuous increase in deprived living conditions in many cities of the Global South
contradicts efforts to make cities inclusive, safe, resilient, and sustainable places. Using …
contradicts efforts to make cities inclusive, safe, resilient, and sustainable places. Using …
[HTML][HTML] Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
Unprecedented urbanization in particular in countries of the global south result in informal
urban development processes, especially in mega cities. With an estimated 1 billion slum …
urban development processes, especially in mega cities. With an estimated 1 billion slum …
[HTML][HTML] EO+ Morphometrics: Understanding cities through urban morphology at large scale
Earth Observation (EO)-based mapping of cities has great potential to detect patterns
beyond the physical ones. However, EO combined with the surge of machine learning …
beyond the physical ones. However, EO combined with the surge of machine learning …
[HTML][HTML] The morphology of the Arrival City-A global categorization based on literature surveys and remotely sensed data
When we think about living environments of the urban poor, slums might be the most
immediate association. These slums evoke a more or less stereotype impression of built …
immediate association. These slums evoke a more or less stereotype impression of built …
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] Towards user-driven earth observation-based slum mapping
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 …
over large areas supporting urban planning and evidence-based policymaking are largely …
[HTML][HTML] Estimating quality of life dimensions from urban spatial pattern metrics
The spatial structure of urban areas plays a major role in the daily life of dwellers. The
current policy framework to ensure the quality of life of inhabitants leaving no one behind …
current policy framework to ensure the quality of life of inhabitants leaving no one behind …
[HTML][HTML] Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas
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 …
potential to substantially improve resolution, spatial coverage, and temporal frequency of …
Detecting social groups from space–Assessment of remote sensing-based mapped morphological slums using income data
M Wurm, H Taubenböck - Remote Sensing Letters, 2018 - Taylor & Francis
Over the last decades, massive urbanization processes lead to the emergence of large slum
areas making them home to about a seventh of the global population. Although the variety of …
areas making them home to about a seventh of the global population. Although the variety of …