Presentation by Ben van Kester (Deltares) at Earth Observation and Data Science Symposium, during Delft Software Days 2016. Monday 24 October 2016, Delft.

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Welcome!

2. A crowd-sourced spatial database can
change the way we work
An OpenStreetMap Vision
Deltares Software Days – 24/10/2016
Presented by Ben van Kester
Created by Andreas Burzel, Ben van Kester, Almar Joling and Lydia Cumiskey

3. 1) Intro – who knows wikipedia
2) Meet the community
3) How does OSM help improve our models
4) Generation of virtual worlds
5) Some tools – river flooding, pluvial flooding, CIrcle
6) How to map
7) To do: Open stats OpenStreetMap page
1) Setup video for CIrcle
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4. OpenStreetMap - Introduction
OpenStreetMap started in 2004 (www.osm.org)
• inspired by the success of Wikipedia
• spatial data based on crowd-sourcing and
open GIS databases
• a global map, freely available
• to date, about 3 million contributors
Great variety of applications
• OSM is only the database, the possibilities are
countless
• from background map to navigation purposes
• open source public transport or bicycle maps
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5. OpenStreetMap – Global Perspective
OSM coverage is growing globally
• national mapping initiatives and implementations (CA)
• contribution of entire datasets (BAG, TIGER, AND)
• mapping events after major incidents (HOT)
World Bank and other organizations support OSM
• data can be re-used after projects
• WB gives guidance, e.g. Open DRI
• Open Data for Resilience Field Guide
• Planning an Open Cities Mapping Project
Vision: OSM in the frame of the Sendai-Framework
• SDGs cannot be reached without a reliable database
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6. Advantages of OSM
• quick and easy access to data
• Overpass API
• QGIS Plugin(s)
• OSM World File
• Geofabrik etc.
• features and tags are comparable between countries
• important for cross-boundary studies
• models are transferable
• the community updates OSM rapidly
• small changes are done in an instant
• new edits always need a nucleus (starting point)
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7. The OSM Community: Introduction
• Global community of Open GIS Data users
• On 18-08-2016: 3.155.967 registered users
• Now: http://www.openstreetmap.org/stats/data_stats.html
• Mapping is done all over the world
• Various uses:
• Public Transport, Navigation, Cycling, Solar energy production, map-making,
Disaster Risk Reduction, Humanitarian Aid, many more!
• Any experience in the room?
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8. Meet the community: SOTM Brussels 2016
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9. Meet me: SOTM Brussels 2016
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10. Two examples: The power of crowdsourcing
1: Mapping the unmapped – Ashgabat Turkmenistan
2: Saving lives – Mapping Haïti for Disaster Response
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11. People using OSM: Map the Unmapped
• 2014: US. Ambassador in Turkmenistan, Allan Mustard, arrives in Ashgabat and
realizes there is no useable map of the city.
• Meaning: No gas stations to be found! No way to navigate the city.
• So; he maps gas stations as he passes them, in OSM.
• Progress is slow; but he has employees! He asks staff to help (drivers, guides,
translators)
• They tell others – rapid growth of the OSM database for Ashgabat
• 2016: OSM is the official (and by far the best) map of Ashgabat made by
enthusiasts
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14. OSM for Disaster Response: Matthew in Haiti
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The HOT Tasking manager shows projects and priorities

15. Commitment to the community
How can we, as members, support the OSM community?
• Develop open tools that use and can improve OSM data.
• Show and tell: our OSM use can help the OSM community grow
• Map the world, be the nucleus
• Feed project-data into OSM before or after a project if allowed, to help others and
locals in need of spatial data and prevent single use / throwing away of data.
• OSM data is published under the share alike licence (Open Data Commons
Open Database License - ODbL)
• The cartography in OSM map tiles and documentation are licensed under the
Creative Commons Attribution-ShareAlike 2.0 license (CC BY-SA).
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16. Benefits from the community
How the community can support your work
• You can harness the power of open, global & crowdsourced data
• Quickly run tools that are developed for OSM data
• Improve analyses if official/other data lacks or is of poor quality
• Ask online and local community for help
• Set up local mapping initiatives in project areas
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17. So how does OSM improve our models?
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18. 3 key words….
Satellite terrain
OpenStreetMap
Local participation
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19. • Where can water flow? Requires detail!
Elevated roads
Ditches (covered
or not)
Complex vertical
geometries
Requirements for flood studies– more than resolution
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20. Rumani Huria Mapping Initiative
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21. Workshop results: High Res Terrain Model
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22. The local dimension: Order pizza to a new house…
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23. Using OSM data to create virtual worlds
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24. Generation of virtual worlds
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25. Combine virtual worlds and Deltares models
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26. Advantages of OpenStreetMaps
• Download data about any place in the world using the same interface
• Standardized data format
• Reduces time to gather data
• Can be used in GDAL, QGIS, many other command line tools (eg. osm2pgsql,
osmfilter, osmosis)
• Likely to be more up to date than other mapping solutions
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27. A few problems, however
Lack of available data
• Leaves “gaps” in our virtual world
• Less suitable for DFM modeling
Limited 3D buildings
• Most of the time only “footprints”
Unclear classifications
• Examples: Building or storage? Small windmill or turbine, etc.
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28. Problems: Unclear classifications (1)
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29. Problems: Unclear classifications (2)
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30. Problems: Gaps in the data
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31. Problems: Limited 3D information
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32. But when things go well…
• Create simulation models based upon OSM data
• Still requires a separate elevation model, though
• Visualize infrastructures, power grids, etc.
• Other people can “update” your model
• Great for quick scans or rapid assessments
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33. Combining model + virtual world
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34. Combining model + virtual world
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35. CIrcle: Critical Infrastructures : Relations and
Consequences for Life and Environment
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36. Workshop
7 november 2016

37. Our Approach with CIrcle
7 november 2016
1. Gather (open) data on CI and
vulnerable objects
2. Gather expert knowledge on
direct impact, network
vulnerability and
interdependencies
3. Combine (open) data with
expert knowledge into
cascading effects analyses

38. Interactive modelling: Video of cascading effects
7 november 2016

39. How to map?
• to start, all you need is a pen.
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42. Summary
• Using OSM allows others to improve our analyses and models, near real-time
• Tools can be made to run on OSM data quickly, great for quick-scans
• Where data is scarce or poor, the community can help you
• Improved visualisations can help connect to all audiences
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43. Enthused? Ready to map? Join the workshop!
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• We will learn:
• How to map; and why correcting mapping is important
• How to use Earth Observation data to improve OSM
• To understand the semantics in OSM and become better mappers
• How to enter data into OSM – hands on!
• What future applications and developments do you see?
I hope to see you tomorrow at 14:00 at the iD-Lab

44. Do you have any other ideas?
Deltares Team OSM would happily discuss them with you!
Giorgio Santinelli; Andreas Burzel; Ben van Kester
Any questions?
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