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Urban Inequalities from Space: Earth Observation Applications in the Majority World [Mīkstie vāki]

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  • Formāts: Paperback / softback, 302 pages, height x width: 235x155 mm, 1 Illustrations, black and white; XI, 302 p. 1 illus., 1 Paperback / softback
  • Sērija : Remote Sensing and Digital Image Processing 26
  • Izdošanas datums: 09-May-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031491858
  • ISBN-13: 9783031491856
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 302 pages, height x width: 235x155 mm, 1 Illustrations, black and white; XI, 302 p. 1 illus., 1 Paperback / softback
  • Sērija : Remote Sensing and Digital Image Processing 26
  • Izdošanas datums: 09-May-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031491858
  • ISBN-13: 9783031491856
Rapid transformation processes occur in the Majority World, where most of the global population is living (estimated around ¾ of the global population), often deprived of access to infrastructure, services, exposed to hazards and degrading environmental conditions. The continuous urbanization in many African, Asian and Latin American cities is coupled with rapid socio-economic and demographic changes in urban, peri-urban, and rural areas. These changes often increase socio-economic fragmentation and existing disparities. According to the United Nations, of the 36 fastest growing cities (with an average annual growth rate of more than 6%), seven are located in Africa, while 28 are found in Asia. On top of the socio-economic transformations, the increasing impact of climate change is expected to increase local vulnerabilities. However, data to understand these transformation processes and relationships are either unavailable, scarce or come with high degrees of uncertainty. Earth Observation information and methods have a great potential to fill data gaps, but they are not exploited to their full potential. Most urban remote sensing studies in the Majority World focus on the primary cities, while not much is known about secondary cities, urbanizing zones or peri-urban areas. Attempting to measure and map environmental and socio-economic phenomena through remote sensing is fundamentally different from extracting bio-physical parameters. In general, studies done by researchers of the Minority World do not sufficiently understand the information needs and capacity demands of the Majority World, especially related to user requirements and ethical perspectives. In this book, we aim to provide an outlook on how Remote Sensing can provide tailored solutions to information needs in urban and urbanizing areas of the Majority World, e.g., in terms socio-economic, environmental and demographic transformation processes. We will provide methodological and application pathways insupport of local and national information needs as well as in support of sustainable development, and specifically, supporting the monitoring of the 17 Sustainable Development Goals (SDGs). The book combines an overview of innovations in applications, methodologies and data use, showing the capacity of Earth Observation to fill global knowledge gaps.
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 Ababas 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.





 
Monika Kuffer is an Associate Professor at the Faculty ITC (University of Twente, NL). Her research focuses on SDGs, poverty (deprivation), environment using Earth Observation, GIS, and AI. She (co)leads research projects on deprivation, e.g., IDEAtlas, SLUMAP, ONEKANA, ACCOUNT, IDEAMAPS. She is the Dutch representative of EARSeL (chair Developing Countries), EO Toolkit and  JURSE Steering Committee.







Stefanos Georganos is an Associate Professor at Karlstad University. He does research in remote sensing, spatial epidemiology, and machine learning. He is interested in the use of geo-information to help address the UN Sustainable Development Goals. He is the Secretary-General of the European Association of Remote Sensing Laboratories (EARSeL) and co-chairperson of its Group on Developing Countries.