Online-Ressource
Cham : Springer International Publishing
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Cham : Imprint: Springer
Schlagwort(e):
Geographic information systems.
;
Sociology, Urban.
;
Space.
;
Geotechnical engineering.
Beschreibung / Inhaltsverzeichnis:
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. .
Materialart:
Online-Ressource
Seiten:
1 Online-Ressource(XI, 302 p. 1 illus.)
Ausgabe:
1st ed. 2024.
ISBN:
9783031491832
Serie:
Remote Sensing and Digital Image Processing 26
URL:
https://doi.org/10.1007/978-3-031-49183-2
DOI:
10.1007/978-3-031-49183-2
Sprache:
Englisch
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hinzugefügt am 2024-05-15