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Digital Revolutions: New Information Technology
Tools in 21st Century Politics
How OpenStreetMap respond to Disaster Crisi...
OpenStreetMap and HOT in Disaster Responses
Recent Activations Contributors Objects edited
●Haiyan Typhoon, Philippines, N...
OpenStreetMap / HOT Services available immediately
● Maps & Services (Free and OpenData)
● Data Exports for GIS analysis, ...
Quick Response to support humanitarian teams in the disaster zones
Humanitarian OpenStreetMap Team
● Collective effort wit...
Haiyan Response, Philippines, 2013
● Humanitarian organizations saw the potential of OpenStreetMap Maps & Services in
Cris...
OpenStreetMap
Humanitarian Style
Transport Style ---> Minimal
West Africa Ebola outbreak, 2014, Zones covered by the OSM Response
uMap
West Africa Ebola Outbreak, March – December 2014
MSF Switzerland - Mar 2014
● GIS specialists deployed with epidemiologis...
OpenstreetMap Response - 2015 Nepal Earthquake
Google CrisisMap to monitor imagery
OpenstreetMap Response - 2015 Nepal Earthquake
● KLL traced Kathmandu years
prior to the earthquake
● 04-25 Pre-Disaster T...
OpenstreetMap Response - 2015 Nepal Earthquake
Crowdsourcing effort
Statistics of OSM Contributions
For the first week, an...
OpenstreetMap Response - 2015 Nepal Earthquake
Long tail of contribution
The first 500 contributors contributed to 75% of ...
OpenstreetMap Response - 2015 Nepal Earthquake
Features added to OSM
Profile, 04-24 – 06-07
Total correspond to 06-07
Obje...
OpenstreetMap Response - 2015 Nepal Earthquake
Source : OSMPlanetStats, Pierre Béland
Prior to the earthquake, the Nepal O...
Quality + Rapidity are essential to a good response
Crowdsource Mapping – Earlier we correct problems, better it is
● Tuto...
OSM Semantic – Ontologic precision
Attributes are not fixed. This let place for constant innovation. But represent also a
...
Ontologic precision vs OSM Feature Key – Value pairs
Nearly 1,000 Common Key-Value pairs represent OSM features (Map_featu...
Semantic Analysis of OSM Tags – Bring the Invisible into LightBring the Invisible into Light
JOSM Editor –> MapStyle to Te...
Appendix – Various examples
West Africa Ebola outbreak Detailed mapping of the urban areas
Before / After map of Monrovia
http://pierzen.dev.openstree...
OpenStreetMap and HOT in Disaster Responses
Nepal Earthquake, 2015
Map from USGS shows epicentre and aftershocks
on an Ope...
OSM integrated in various products
Gis Data Marts – Layers of various features
OSM query tools integrated in GIS softwares
IOM personal Joe Lowry CCBYSA2.0
http://flic.kr/p/hHMxee
Poster Maps, City index
American Red Cross. Used with permission
...
OsmAnd Offline Navigation
on small devices
1 ligne 2 ligne 3 ligne 4 ligne
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2
4
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12
1 colonne
2 colonne
3 colonne
Presentation available from slideshare.net/pierzen
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How OpenStreetMap responds to Disaster Crisis : Digital Revolutions Workshop Bergen, Norway, 2015-11-02

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Digital Revolutions: New Information Technology
Tools in 21st Century Politics
How OpenStreetMap respond to Disaster Crisis
Pierre Béland, Humanitarian OpenStreetMap Team Volunteer
Norvegian Center for Humanitarian Studies (CMI), Bergen, Norway, 2015-11-02

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How OpenStreetMap responds to Disaster Crisis : Digital Revolutions Workshop Bergen, Norway, 2015-11-02

  1. 1. Digital Revolutions: New Information Technology Tools in 21st Century Politics How OpenStreetMap respond to Disaster Crisis Pierre Béland, Humanitarian OpenStreetMap Team Volunteer Norvegian Center for Humanitarian Studies (CMI), Bergen, Norway, 2015-11-02
  2. 2. OpenStreetMap and HOT in Disaster Responses Recent Activations Contributors Objects edited ●Haiyan Typhoon, Philippines, Nov. - Dec. 2013 1,600 4.5 million ●West Africa Ebola outbreak, Mar.2014 - Mar.2015 3,312 15.4 million ●Vanuatu Archipel Typhoon, Mar.2015 340 0.7 million ●Nepal Earthquake, Apr-June 2015 7,125 17.4 million We support humanitarian teams in the disaster zones for various Map needs : ● Humanitarians that deploy to the zone and provide relief to the population ● UN Agencies, International organizations, Logisticians that plan intervention, evaluate number of people affected, ressources to deploy ● GIS specialists that support the organizations in the field ● Humanitarian aid and Health teams travelling that need rapid access to various areas ● Transport truck fleets, etc.
  3. 3. OpenStreetMap / HOT Services available immediately ● Maps & Services (Free and OpenData) ● Data Exports for GIS analysis, Mobile devices Offline maps and road navigation (Android, IOS, GPS) → Daily updates, more frequent when needed ● HOT Softwares to coordinate crowdsourcing, export Data ● Online Map and Road navigation, Paper maps, FieldPapers ● Quality Control tools, Query Tools ● Local communities to support field teams -> Philippines and Nepal experience OpenStreetMap and HOT in Disaster Responses
  4. 4. Quick Response to support humanitarian teams in the disaster zones Humanitarian OpenStreetMap Team ● Collective effort with the partners. Various technical and organizational aspects to take into account ● Remote Volunteers coordinate with the Digital Humanitarian partners, Imagery providers, Damage assessment organizations, UN Agencies, International organizations, GIS specialists ● Imagery acquisition and processing ● Adapt the response to the context of each crisis ● Crowdsource Remote Mapping / Monitor / Evaluate / Correct ● Feedback, corrections – GIS specialists – People in the field OpenStreetMap and HOT in Disaster Responses
  5. 5. Haiyan Response, Philippines, 2013 ● Humanitarian organizations saw the potential of OpenStreetMap Maps & Services in Crisis Context. OSM / HOT adapted rapidly to provide various Poster maps, plus revising Map styles to show damaged buildings OpenStreetMap and HOT in Disaster Responses
  6. 6. OpenStreetMap Humanitarian Style Transport Style ---> Minimal
  7. 7. West Africa Ebola outbreak, 2014, Zones covered by the OSM Response uMap
  8. 8. West Africa Ebola Outbreak, March – December 2014 MSF Switzerland - Mar 2014 ● GIS specialists deployed with epidemiologists in the field ● Acquisition of Imagery for the first 3 towns ● Activate HOT to support contact case tracing – Quick mapping of territories as the outbreak spread – higways, villages, houses – Village names to facilitate locating people at risk ● Free aerial imagery provided by HIU US State Department, Airbus Defence and Space, MapBox helped complete Bing Imagery in areas not yet covered ● Thousand of MSF / Red Cross volunteers travelling on the territory UNMEER – August 2014 ● Deployment of international teams to support the development of the health sector and economic development in the 3 countries most affected ● OpenStreetMap extends the mapping to large zones in these countries OpenStreetMap and HOT in Disaster Responses
  9. 9. OpenstreetMap Response - 2015 Nepal Earthquake Google CrisisMap to monitor imagery
  10. 10. OpenstreetMap Response - 2015 Nepal Earthquake ● KLL traced Kathmandu years prior to the earthquake ● 04-25 Pre-Disaster Trace roads ● 04-28 Post-Disaster Kathmandu + Banepa IDP Camps ● 04-28 Pre-Disaster Trace Buildings Gorkha, Sindhupalchowk, Dunche, Langtang, etc ● 05-01 Post-Disaster outside Kathmandu → Gorkha ● 05-01 Import place names Timeline
  11. 11. OpenstreetMap Response - 2015 Nepal Earthquake Crowdsourcing effort Statistics of OSM Contributions For the first week, an average of 1 million objects edited / day and 1,000 contributors daily In comparison, 1 million objects for the first month in Haiti, jan. 2010. OpenStreetMap is an open system and anybody can open an account to edit or organize a mapathon. The quality control / validation process is essential to assure quality, accuracy of data.
  12. 12. OpenstreetMap Response - 2015 Nepal Earthquake Long tail of contribution The first 500 contributors contributed to 75% of the edits 4,850 contributors (68% of contributors) participated only one day. They contributed to 10% of objects edited. Often, this was their first day of contribution.
  13. 13. OpenstreetMap Response - 2015 Nepal Earthquake Features added to OSM Profile, 04-24 – 06-07 Total correspond to 06-07 Objects added 04-25 to 06-07 Objects 04-24 OSM Edits in the six weeks of Activation Building geometry often corrected – New contributors trace imprecise geometry Indetermed Features represent only one percent of Data, but a high propotion of objects deleted Source : OsmPlanetStats, Pierre BélandBuilding Network Nature Landuse Damage POI's Other Ind 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% % of create % of delete % of modify Building Networks Nature Landuse Damage POI's Other Ind 0 1,000,000 2,000,000 3,000,000 4,000,000 5,000,000 6,000,000 7,000,000 8,000,000 9,000,000 '04-24 – 06-07 04-24
  14. 14. OpenstreetMap Response - 2015 Nepal Earthquake Source : OSMPlanetStats, Pierre Béland Prior to the earthquake, the Nepal OSM community added 48,000 km of roads. From Apr.25, the international OSM community and various support groups contributed adding an other 60,000 km to trace unclassified roads, tracks and paths in the remote areas.
  15. 15. Quality + Rapidity are essential to a good response Crowdsource Mapping – Earlier we correct problems, better it is ● Tutorials ● Clear instructions – Jobs for beginners ● OSM Editors adapted to new contributors – Functions that facilitate edit specific features (ie Building geometry + Tags), Side Instruction Panel, etc. – Validation function inside the Editor that the contributor understand easily ● Tasking Manager validation limited to experienced mappers ● Assure a better workflow control – Monitoring contributors, identify early the problems – Other Validations including Semantic OpenStreetMap and HOT in Disaster Responses
  16. 16. OSM Semantic – Ontologic precision Attributes are not fixed. This let place for constant innovation. But represent also a challenge to assure that features are identified by the various applications OpenStreetMap and HOT in Disaster Responses
  17. 17. Ontologic precision vs OSM Feature Key – Value pairs Nearly 1,000 Common Key-Value pairs represent OSM features (Map_features wiki) 99% of the objects in OSM Nepal 2015-04-24 and 2015-06-07 can be represented as Features since they use a Common Key-Value (The Visible part to softwares) OpenStreetMap and HOT in Disaster Responses 1% -The Invisible part Syntax error, no attributes, errors, or simply notes added Examples ● Highway=residential (Uppercase) ● highways=residential (s suffix) ● highway=Blvd xxx (a name in the Value Field) ● Damage=I think that this building has collapsed, ● Etc.
  18. 18. Semantic Analysis of OSM Tags – Bring the Invisible into LightBring the Invisible into Light JOSM Editor –> MapStyle to Test integration of semantic validation To switch the focus from the Visible to the Invivisble portion of Data NoFeature Validation Style highlights Objects with no Valid Feature (ie (highway, building, landuse, office, shop, etc) OpenStreetMap and HOT in Disaster Responses NoFeature Validation MapStyle
  19. 19. Appendix – Various examples
  20. 20. West Africa Ebola outbreak Detailed mapping of the urban areas Before / After map of Monrovia http://pierzen.dev.openstreetmap.org/hot/leaflet/OSM-Compare-before-after.html#14/6.3334/-10.7868 OpenStreetMap and HOT in Disaster Responses
  21. 21. OpenStreetMap and HOT in Disaster Responses Nepal Earthquake, 2015 Map from USGS shows epicentre and aftershocks on an OpenStreetMap (Mapquest) Relief Basemap
  22. 22. OSM integrated in various products
  23. 23. Gis Data Marts – Layers of various features OSM query tools integrated in GIS softwares
  24. 24. IOM personal Joe Lowry CCBYSA2.0 http://flic.kr/p/hHMxee Poster Maps, City index American Red Cross. Used with permission https://twitter.com/RedCross/status/401088520481042432
  25. 25. OsmAnd Offline Navigation on small devices 1 ligne 2 ligne 3 ligne 4 ligne 0 2 4 6 8 10 12 1 colonne 2 colonne 3 colonne
  26. 26. Presentation available from slideshare.net/pierzen

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