The Earth Observations Toolkit for Sustainable Cities and Human Settlements - Supporting Evidence-based policy-making for Equitable Urban Futures
29 June 2022 — 9:00 - 12:00
Welcome - Getting to know each other (10 min)
The vast majority of urban growth is expected to happen in Low-and-Middle-Income Countries, mostly in deprived urban areas. Data on such areas are often not available, dated or patchy. Areas change often rapidly requiring frequently updated information for local actors.
by Monika Kuffer, ITC-UT and and Peter Elias, UNILAG
Exercise 2:
Producing Slum Indicators in Administrative Units (25 min)
1.
2.
3.
4.
5.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
SLUMAP, IDEAMAPS and ACCOUNT focus on an open-source framework that allows (i) providing information on the location of deprived areas (e.g. slums) within a city and (ii) characterizing their physical environment (i.e., in terms of greenness, built-up density, etc.) at limited cost.
SDG 11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing
Mapping Deprived AREAS
Outputs are gridded deprivation models validated with community groups
More info: https://ideamapsnetwork.org/
SDG 11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing
Domains of Deprivation
Validation with community-based data
Modelling outputs
Models from the Space
Earth Observation
Criteria defining slums, informal settlements and inadequate housing (Source: UN-Habitat, 2020) (x* presently measured) | EO potential deprivation | |||
| Slums | Informal Settlements | Inadequate Housing | Captured via EO |
access to water and sanitation | X* | X* | X | Unplanned urbanization |
sufficient living area, overcrowding | X* |
| X | Built-up Density |
structural quality, durability and location | X* | X* | X | Locational and roofing material |
security of tenure | X* | X* | X | Unplanned urbanization |
affordability |
|
| X* | (Requires local data) |
accessibility |
|
| X | Geospatial data |
cultural adequacy |
|
| X | (Require local data) |
Exploring the Portal - Part 1
Beta Version of Data Portal: https://pere.gis-ninja.eu/slumaps/slumaps_dev.html#!
Web Developer: Pere Roca Ristol peroc79@gmail.com
Exploring the Toolkit Data - Part 2
Access to Beta Version Data of SLUMAP for Nairobi, Kenya: https://pere.gis-ninja.eu/slumaps/slumaps_dev.html#!
Web-based Visualization Tool: https://kepler.gl/
GHS Built-up Layer 10 m
Exploring the Toolkit Data - Part 2
Web-based Visualization Tool: https://kepler.gl/
Visualizing built-up density in 3D
Exploring the Toolkit Data - Part 2
Web-based Visualization Tool: https://kepler.gl/
Visualizing built-up density within administrative areas
Exploring the Portal Data - Part 2
Web-based Visualization Tool: https://kepler.gl/
Relating built-up density, deprivation models and population data
Web-based Visualization Tool: https://kepler.gl/
Visualizing built-up density within administrative areas and relating to deprivation
Contact: M.Kuffer@utwente.nl
@MonikaKuffer
The Spatial Dimension of SDG and NUA Indicators using Earth Observation Data
Conclusions
1.
2.
3.
4.
Stimulating exchange and learning from local use cases and support knowledge exchange on the potential of Earth Observation data.
Supporting local stakeholders with easy access to documented and FAIR data. Bridging the technology gap and opening up a large knowledge hub.
Understanding the complexity of the urban environment - linkages of various dimensions and its linkages to the urban hinterland. For example addressing climate change. .
Supporting evidence-based spatial policies requires ressources, capacity and exchange.