Chapter1. Introduction
Part1: Global Analysis. chapter 2. Integration of remote and social sensing data reveals uneven quality of broadband connectivity across world cities
Chapter3. Detecting inequalities from Earth Observation derived global societal variables
Chapter4. The State of the Streets: Measurements of connectivity in the Atlas of Urban Expansion
Chapter5. Urban and peri-urban? Investigation of the location of informal settlements using two databases
Part2. Urban Deprivation. Chapter 6. Integration of Datasets Towards Slum Identification: Local Implementation of the IDEAMAPS Framework
Chapter7. Putting the invisible on the map: Low-cost Earth Observation for mapping and characterizing deprived urban areas ('slums')
Chapter8. The Impact of Respondents' Background Towards Slum Conceptualisations and Transferability Measurement of Remote-Sensing Based Slum Detections. Case Study: Jakarta, Indonesia
Chapter9.Part3: Temporal Analysis. Chapter10.Reconstructing 36 years of spatiotemporal dynamics of slums in Brazil by integrating EO and census data
Chapter11. Assessing the impact of Addis Ababa's successive urban policies on farmland loss, food insecurity and economic inequalities using earth observation data (1986 - 2022)
Part4. Socioeconomic Mapping and Ecosystem services. Chapter 12. A mixed method approach to estimate intra-urban distribution of GDP in conditions of data scarcity
Chapter 13. Ecosystem Services from Space as Evaluation Metric of Human Well-being in Deprived Urban Areas of the Majority World
Chapter14. Making Urban Slum Population Visible: Citizens and Satellites to reinforce slum censuses. .