[HTML][HTML] 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 …

[HTML][HTML] A critical review of high and very high-resolution remote sensing approaches for detecting and mapping slums: Trends, challenges and emerging …

R Mahabir, A Croitoru, AT Crooks, P Agouris… - Urban Science, 2018 - mdpi.com
Slums are a global urban challenge, with less developed countries being particularly
impacted. To adequately detect and map them, data is needed on their location, spatial …

[HTML][HTML] Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

M Wurm, T Stark, XX Zhu, M Weigand… - ISPRS journal of …, 2019 - Elsevier
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 …

A global human settlement layer from optical HR/VHR RS data: Concept and first results

M Pesaresi, G Huadong, X Blaes… - IEEE Journal of …, 2013 - ieeexplore.ieee.org
A general framework for processing high and very-high resolution imagery in support of a
Global Human Settlement Layer (GHSL) is presented together with a discussion on the …

Monitoring urbanization in mega cities from space

H Taubenböck, T Esch, A Felbier, M Wiesner… - Remote sensing of …, 2012 - Elsevier
Mega cities, the largest category of urban agglomerations, attract considerable attention
because of their population size, economic, socio-cultural, environmental and political …

[HTML][HTML] The morphology of the Arrival City-A global categorization based on literature surveys and remotely sensed data

H Taubenböck, NJ Kraff, M Wurm - Applied Geography, 2018 - Elsevier
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 …

An ontology of slums for image-based classification

D Kohli, R Sliuzas, N Kerle, A Stein - Computers, environment and urban …, 2012 - Elsevier
Information about rapidly changing slum areas may support the development of appropriate
interventions by concerned authorities. Often, however, traditional data collection methods …

[HTML][HTML] Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas

A Abascal, I Rodríguez-Carreño, S Vanhuysse… - … , environment and urban …, 2022 - Elsevier
Many cities in low-and medium-income countries (LMICs) are facing rapid unplanned
growth of built-up areas, while detailed information on these deprived urban areas (DUAs) is …

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] The paradox of informal settlements revealed in an ATLAS of informality: Findings from mapping growth in the most common yet unmapped forms of …

J Samper, JA Shelby, D Behary - Sustainability, 2020 - mdpi.com
Informal settlements are the most common form of urbanization on the planet, accounting for
one-third of the total urban form. It is expected that by the mid twenty-first century, up to three …