The Sustainable development goals (SDG) aim for reducing poverty (SDG 1) and to upgrade
all slums (SDG 11). The first indicator in SDG 11 describes the proportion of the urban …

High-resolution remotely sensed imageries have been widely employed to detect urban
villages (UVs) in highly urbanized regions, especially in developing countries. However, the …

Cartography has been, in its pre-modern and modern production of maps, influential in
determining how space and territory is experienced and defined. But advancements in …

In the wake of the COVID‐19 pandemic, a range of technological as well as legislative
measures were introduced to monitor, track and prevent the spread of the COVID‐19 virus …

The widespread presence of precarious settlements in developing countries remains a
persistent and relevant issue to be addressed. Developing well-informed strategies to tackle …

Deprived settlements, usually referred to as slums, are often located in hazardous areas.
However, there have been very few studies to examine this notion. In this study, we leverage …

Background The health burden in developing world informal settlements often coincides
with a lack of spatial data that could be used to guide intervention strategies. Spatial video …

This chapter examines the critical role of data for the localization of the Sustainable
Development Goals (SDGs) in Africa, with a specific focus on SDG 11 (Sustainable Cities …

Slums are created as a result of unprecedented urbanization, especially in developing
nations. Remote sensing has shown to be a very useful and efficient tool for mapping these …

Globally, about one billion urban dwellers live in deprived areas (commonly referred as
slums). However, this figure may be highly uncertain due to large data gaps. For example, in …