Urban Inequalities from Space Earth Observation Applications in the Majority World /
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 man...
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| その他の著者: | , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
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| 版: | 1st ed. 2024. |
| シリーズ: | Remote Sensing and Digital Image Processing,
26 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-031-49183-2 |
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目次:
- 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. .