1. Open Data supporting management of urban growth challenges (WP4)
Tomas Soukup, Erika Orlitova, Jakub Balhar, Vaclav Vobora
GISAT

2. GISAT SME company with 25 years track Earth Observation based services
Data-2-Information services
Located in Prague, Czech Republic
Serving globally

3. Background / Urban Context

4. Background / Urban Context
Urbanization - Big challenge and opportunity globally
Cities are key for the sustainable development agenda
(SDG11- Sustainable cities and communities)
More resource efficient model of growth is needed for more resilient and economical, ecological and social inclusive future cities.

5. Background / Urban Context
Understanding Urban Complexity
Information support needed to manage urban growth and
all its consequences especially on strategic planning level
understanding of city/region potentials for different urban growth strategies (densification, re-development, greening…) in actual development context
support evidence based decisions on urban development options

6. Background / Problem
Vast amount of urban related data available (including growing Open Data sources), but...
heterogeneous - both contents and source
cumbersome for retrieval (way of access, licensing…)
not integrated
not presented in a way to support decision process
As result, considerable effort is needed to derive required information out of existing data and
...data are effectively often not used

7. Solution / WP4 Service Focus
Urban growth monitoring
Land resource management support (potential, use)
Strategic level
Open Data exploitation including Copernicus data flows
Cloud enabled scalable, parallel data processing

8. Solution / WP4 Service Focus
spatial-temporal patterns of urban forms
integrated with other social, economic, environmental information
beyond administrative boundaries
harmonized, comparable

9. Solution / WP4 Service Focus
Not providing a magic ’42’ answer
Playground for informed, but creative urban planning decisions
support in data ingestion
support in data integration
support in data-to-information process
support in information communication
support in collaboration

10. UrbanExplorer – Urban data exploration platform
UrbanExplorer BackOffice
Geonode repository
UrbanExplorer GUI

11. Urban Explorer PostGIS
OD processing architecture
OSM
SciHub
IPR
Strabon/OnTop
Source adapter
Source adapter
Source adapter
Source adapter
Twitter
Transformer chain
Output adapter
Source adapter
Facebook
Urban Explorer PostGIS
Transformer
Transformer
Transformer

12. OD processing architecture
source adapters, extract subsets from external data sources and convert the data into the format intended for successive processing
transformers, process data provided by source adapters
output adapter, converts transformers’ output and loads the result into the UrbanExplorer infrastructure dedicated for final analytical exploration and analysis

13. On-fly Use Case response time is critical
on-fly query on external distributed resources
on-fly analysis tied to UrbanExplorer infrastructure
availability and reliability of external sources backed up by handling of data through intermediate repository - caching external resources in case of source response failure/timelaps

14. On-fly example - UrbanPDA
Site selection based on multiple dynamic criteria
Integration of several (Linked) Open Data sources
Potential Development Areas candidates:
Copernicus Urban Atlas - Potential Development Areas candidates
Limiting factors:
OSM – Access to services
City of Prague (IPR) – Zoning and regulation data

15. Example of on-the-fly analysis - UrbanPDA
Analysis of Potential Development Areas (PDA) including the actual development context
Integration and analysis of different (linked) open data sources

16. Example of on-the-fly analysis - UrbanPDA
Analysis of Potential Development Areas (PDA) including the actual development context
Integration and analysis of different (linked) open data sources

17. On-demand Use Case
Availability for on-demand analysis is far from on-the-fly needs.
response time is not critical
on-demand analysis not directly tied to UrbanExplorer infrastructure, but the results can be integrated and utilized there
there is oportunity to heavily utilize cloud computing platform to scale the service according user demand

18. On-demand example - UrbanDynamics
Processor (ala video object tracking) developed under ESA Innovation Triangle Programme (ITI), (12 months)
Implementation within WP2 sandbox - use of parallel processing in order to reduce time efficiency
Input - all available Landsat/Sentinel-2 scenes for observed period via OpenSearch + Copernicus UrbanAtlas (training)
Output - changes for time intervals (binary + confidence level)
More granular information about change dynamic

19. On-demand example - UrbanDynamics
Continuous urban growth dynamic monitoring
Example:
annual changes (top)
cumulative changes (bottom)
North-West part of Prague ( )
Harvesting and parallel processing of EO open data sources

20. On-demand example - UrbanDynamics
Harvesting and parallel processing of EO open data sources

21. Lesson learned
On-fly queries of distributed LOD sources is great vision, but still challenge for operational use (availability, reliability) - caching approach introduced
Cloud computing provides tremendous potential to EO based services providers
For the later the time is now, for the former technical barriers still exist, but may be removed in near future
Internalized knowledge and capacity
Competitive advantage for our future services development

22. Future development
LOD principles for identification of relevant datasets (meta search) based on user-defined ontologies – ongoing cooperation with CTU and City of Prague
Cluster deployment testing with T2 (UrbanDynamics)
Implementation of principles in global context

23. Sustainability beyond the project duration
UrbanExplorer Platform approaches are trasferred into the contex of EO data support of Multilateral Development Banks in urban domain (e.g. World Bank, ADB, IADB)

24. Open Data supporting management of urban growth challenges (WP4)
Tomas Soukup, Erika Orlitova, Jakub Balhar, Vaclav Vobora
GISAT