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Open streetmap response-to-ebola-crisis-geong-2014-09-23


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Conference at GeONG, Chambery, Sept. 23 2013 about OpenStreetMap Response to the 2014 Ebola Outbreak in West Africa.

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Open streetmap response-to-ebola-crisis-geong-2014-09-23

  1. 1. OpenStreetMap Response to Humanitarian Crisis West Africa Ebola Outbreak, 2014 Case Pierre Béland, Humanitarian OpenStreetMap Team GeOnG, Chambéry, 2014-09-23 View from
  2. 2. OpenStreetMap : An ecosystem for rapid and efficient intervention With the OpenStreetMap rapid intervention for Haiyan, Philippines and West Africa Ebola, this was the defacto Reference map for these international interventions. The capacity to mobilize international volunteers through Internet assures access to essential products and services The Black and white map - OSM database and Maps updated to the minute - Humanitarian style - Paper Maps + FieldPapers Maps for field survey - Offline Android / IOS - GIS Download Let's color the map with thematics We need a change of culture and adapt to small mobile technology. What data and how the government and humanitarians could share with other organizations ? Government OpenData to share administrative limits and other public data Humanitarian Organizations Field Teams Collecting - infrastructure data - Locality names - etc Coordination with UN and humanitarians Humanitarian OpenStreetMap team makes the bridge with the humanitarians
  3. 3. OSM Crowdsourcing contribution - Task Manager Jobs Haiyan Typhoon West Africa Ebola, first 6 months 1,600 contributors / 4.5 million objects 1,333 contributors, 7.4 million objects 200 km x 200 km uMap Data : OpenStreetMap Contributors Nov-Dec 2013 March – Sept 2014
  4. 4. Ebola Outbreak, West Africa, Mar.2014 Mobilisation against an unprecedented Ebola epidemic ● Deadly and very contagious epidemy ● Spreads for the first time in vast regions and urban areas ● Mapping helps to : – Locate people in contact with infected persons – Support economic recovery
  5. 5. West Africa Ebola outbreak Crowdsource map of Monrovia
  6. 6. West Africa Ebola outbreak Compare OSM – Google
  7. 7. Ebola Outbreak Activation Workflow , ● Identify Areas to map, services to provide, priorities : Coordination with CartONG / MSF, Red Cross, UN-OCHA, WHO ● Interface with Field GIS officers through CartONG ● Imagery acquisition, processing, host imagery on servers (OSM-Fr, HIU and Mapbox servers) ● Digitize from Imagery the roads, villages outbounds, buildings ● Data Imports for Administrative limits, Locality names (OpenData needed) ● Infrastructures data collection : An ecosystem to develop with humanitarians plus data preparedness programs. ODK the solution? ● Support the Crowdsource mapping effort – Coordination via the Task Manager, Learning material, Mapathon, Communications ● Daily update for GIS analysis, Mobile devices maps and road navigation. Are also available : Online Map and Road navigation, Paper maps, FieldPapers
  8. 8. The OpenStreetMap response is possible with the contribution of many volunteers and supporters ● Imagery providers that offer free imagery and hosting ● OSM in general with his infrastructure ● Remote participation of contributors from around the world ● Humanitarian OpenStreetMap Team coordinators that assure the bridge between the community and the humanitarian organizations ● The HOT Board and Executive that supports the coordinator actions ● Support team that takes care of Imagery, Validation, Imports, learning material ● Developpers
  9. 9. West Africa Ebola Outbreak PPhhaassee 11 MMaarrcchh 2255 –– AApprriill 77 ● Rapid mapping of Guéckédou and the other towns affected ● 5,000 places, 207,000 buildings AApprriill 88 –– JJuunnee 220 OSM contributors and the humanitarian GIS in the field enhance the map ● ++ 11,,000 ppllaacceess,, 3355,,000 bbuuiillddiinnggss ● PPhhaassee 22 ffrroomm JJuunnee 2200 ● FFrroomm AAuugguusstt 88 AAtt tthhee rreeqquueesstt ooff WWHHOO aanndd UUNN--OOCCHHAA,, tthhee OOSSMM ccoommmmuunniittyy aallssoo ccoonnttrriibbuutteess ttoo tthhee iinntteerrnnaattiioonnaall pprrooggrraamm ooff aaccttiioonn ttoo ssuuppppoorrtt tthhee ccoouunnttrriieess aaffffeecctteedd FFrroomm MMaarrcchh 2255 TToo SSeepptt.. 1122 1199,,556600 ppllaacceess,, 559933,,886655 bbuuiillddiinnggss,, 77,,335588,,338844 oobbjjeeccttss AA zzoonnee ooff mmoorree tthheenn 2200 kkmm xx 2200 kkmm iiss ttrraacceedd Date Contri-butors Places Buil-dings Objects 2014-04-07 403 5,422 206,841 2,072,042 2014-07-01 589 6,927 293,235 3,289,431 2014-09-12 1,333 19,560 593,865 7,358,384 2014-09-22 8,000,000
  10. 10. West Africa OSM map progression we need names to color the map Object type 2012-02-12 2014-09-12 Variation Places 1,706 22,478 20,772 Buildings 1,799 652,484 650,685 Highways 21,597 km 32 % with name 111,168 km 8 % with name 89,570 km Waterways 9,452 km 18,641 km 9189 km Railways 1,366 km 1,169 km - 196 km
  11. 11. West Africa map objects, 2012-09-12 OpenStreetMap, Guinea, Liberia and Sierra Leone Example of Objects in the OSM database, 2014-09-12 Total of Objects 7 577 165 including Nodes with no tag (part of other objects) 6 680 184 Half for the buidlings outbound Others, to trace highway, waterway, railway, landuse, etc. way=Building 643 125 way=highway 144 620 way=landuse 39 994 node=place 22 140
  12. 12. Imagery to digitize essential elements ● OSM has free access to all Bing High-res imagery (50 cm). But coverage is not yet complete in parts of West-Africa. Imagery acquisition was an important aspect of this activation ● MSF bought imagery for the first three towns ● All other images have been donated by HIU, MapBox and Airbus Defense & Space ● Image search, process and hosting was done by OSM-fr, HIU and Mapbox → TMS servers ● Resolution of 50 cm. for most of the images let's digitize the buildings ● Imagery of lower Resolution (Spot6, landsat8) was useful to complete roads and villages outbounds
  13. 13. Interface with field teams ● CartONG / MSF have sent in march a GIS officer in West Africa to support the GIS needs. With the resurgence of the epidemy in june, three officers were sent. They provided us feedback, settlement names corrections and identification of priorities thus contributing to a better OSM response
  14. 14. Data Imports ● For each new crisis, the problem of importing Settlement place names, administrative boundaries and vital infrastructures emerge ● Given the limited technical capacities of the administration of many Development countries, there is often no georeferenced data readily available about important infrastructures such as hospitals, schools, features that can be used as shelters. ● When the data is available, there are often Data access limitations or Licensing problems to use rapidly such data in context of rapid response to humanitarian needs ● A plan should be developped to support governments in the development of OpenData that can be shared with humanitarian organizations in the context of humanitarian crisis ● To assure that such data be imported in OpenStreetMap, the data should be accessible with standard formats of exchange and there should be no license restriction for commercial use
  15. 15. West Africa OSM map progression We need names to color the map Object type 2012-02-12 2014-09-12 Variation Places 1,706 22,478 20,772 Buildings 1,799 652,484 650,685 Highways 21,597 km 32 % with name 111,168 km 8 % with name 89,570 km Waterways 9,452 km 18,641 km 9189 km Railways 1,366 km 1,169 km - 196 km
  16. 16. Infrastructures data collection ● A lot of efforts are made by various organizations, coordinating with OCHA and other actors to provide geolocated data. The process is complex and there are licensing issues ● Collecting the data in emergency context, licenses issues are not considered. ODK Data collection Forms could be used to feed OSM ● OSM offers the possibility to develop an ecosystem very flexible where various organizations can collaborate, add edit sharable data Plan for other activations ● A Plan should be implemented to assure that the Data collection is better systematized and sharable – Data collection methods should assure to license as OpenData (avoid using commercial geolocation tools) – New mobile devices offer new possibilities. The humanitarian organizations should plan to collect and share as OpenData – The possibility to share data stored on OpenStreetMap should be examined – OSM edit tools and Data Collection Forms for Mobile devices should be adapted to facilitate collection of humanitarian sharable data
  17. 17. Global Ebola Response Coalition A vast Plan of support of national governments is underway UN agencies, NGOs and other partners as they work on healthcare, food security, sanitation and protection issues need accurate and detailed geographic data ● The international organizations recognize OpenStreetMap as the more detailed and accurate basemap ● OSM place names will be used as the base for the Settlements database with unique ID pcodes ● WHO boundaries will be used as the basis of the Administrative boundary with unique ID pcodes ● For OSM, License restrictions limit the capacity to bring rapidly more accurate data and support the humanitarian organizations
  18. 18. Support to Crowdsource mapping initiatives ● Mapping : Task Manager to coordinate / distribute tasks ● Validation – Task Manager to revise what's traced in a given square – Wiki pages to support validators – Osmose and similar Tools : Verify / correct suspected errors (routing, invalid tags,etc) ● Training material – – Wiki pages for instructions how to map specific features ● Communication channels : Email discussions, IRC, Mumble, HOT Update
  19. 19. OpenStreetMap crowdsource effort Analysis of the contributors profile OSM Experience of contributors from creation date of their account New contributor – Account opened after Mar.25 2014 0-5 months 6-12 months 13-23 months 24 months and plus The various Diagrams will show the increasing participation of new contributors has the Activation goes on 39% of contributors 18.5% of total contributions Over the last month, increasing participation with nearly 50% of contributions in the last few weeks Motivating for the new contributors to start participating to OSM
  20. 20. Crowdsourcing :Profile of Contribution Mar.25 – Sept 12 2014 Experience with OSM estimated from the Creation date of the account Interesting to follow the New Contributors (account opened after Mar.25)
  21. 21. Many mappers with 1-2 days. How to retain them ? 46 + '31-45 '15-30 08-14 03-07 01-02 West Africa Ebola Outbreak, Profile of contribution, 2014-04-25 -- 09-12 Objects edited by months of Activity with OSM before the Outbreak and days of contribution 0 100 200 300 400 500 600 700 800 900 1000 24 + months 12-23 months 6-11 months 0-5 months New contributors Number of Contributors Activity in OSM
  22. 22. Most contributions comes from less then 300 contributors 46 + '31-45 '15-30 08-14 03-07 01-02 West Africa Ebola Outbreak Contribution, 2014-03-25 to 09-12 Objects edited 0 200000 400000 600000 800000 1000000 1200000 1400000 1600000 1800000 2000000 24 + months 12-23 months 6-11 months 0-5 months New contributors Days of contribution to the Activation Profile : Days of participation to the Ebola Activation / Months of contribution before the Outbreak
  23. 23. Weekly progression Phase 1 (1-4), Phase 2 from week 14 → New contributors 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 1400000 1200000 1000000 800000 600000 400000 200000 0 Objects edited by week OSM account before Activation (months) 24 + '12-<24 '06-<12 '01-<6 -0 M A M J J A S
  24. 24. % of weekly edit contribution by Duration of OSM contrib before the Activation ● → Significant participation of New Contributors ●
  25. 25. Cumulative objects Created → Sept 22, 8 Millions 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 8000000 7000000 6000000 5000000 4000000 3000000 2000000 1000000 0 Cumulative objects edited by week OSM account before the Activation (months) 24 + '12-<24 '06-<12 '01-<6 none M A M J J A S
  26. 26. Haiyan Typhoon Nov.8 2013 Possibly the most powerful storm ever recorded in history. For the teams that prepare to deploy : ► Urgent need of Geospatial data : Base Map + Damage Assessment ► A large territory with many remote islands and villages Ph,oto
  27. 27. HHaaiiyyaann TTyypphhoooonn OOppeennSSttrreeeettMMaapp RReessppoonnssee Despite the lack of information and difficulty to coordinate, The first days of the Activation, quick answer from OSM, both crowdsourcing and developpers ● Digitize the Base Map and start Damage assessment for Tacloban ● OSM Extracts for GIS Analysis, GPS and Android smartphones (daily / hourly updates) ● Adapt the Map Style and products for damage assessment ● 10 days after the typhoon Humanitarian Map Style and Products available with Damaged buildings (orange) and Collapsed buildings (red) ● All derived maps can use it ● FieldPapers Paper Maps with grid for field survey, ● MapOSMatic Large Paper Maps with grid, street index and POI and ● Osmose Validation / Correction tool. ● Maps to support field survey, to detect zones with infrastructures at risk ● Truck drivers find new roads when road blockages / Debris ● OSM database and Maps updated to the minute
  28. 28. Haiyan Typhoon Damage Assessments was not succesful because of technical limits. How to do better next time? UNOSAT, European Copernicus, OpenStreetMap and probably other groups ● Coordination of the various groups, both UNOSAT, Copernicus, OpenStreetMap and others, common methodology, distribution of areas to map ● Account for the limits of aerial imagery. Assessment from imagery is a first step to prioritize the areas of intervention ● Field assessment is necessary to evaluate individual buildings ● Assure to have both Pre and Post Imagery for all the areas to cover, ideally both from the same source (better alignment of features) ● In the context of a meteo related disaster, Imagery of 50 cm of poor quality do not let evaluate with high precision the damages ► Necessity to coordinate and prepare before disasters, have clear methodology, goals and coordination between the various organizations; this was already proposed after Haiti Rapid access to Imagery Archive Catalogs of Imagery Providers for better response For more granularity and flexibility, Civil Drone or Oblique images could come to the rescue
  29. 29. Assessing damages in the context of weather related disasters Post-disaster image, Tacloban taken in bad weather conditions DigitalGlobe, 50 cm Post-disaster image, Tacloban flight at some 150 meters, under the cloud coverage Civil Drone, 4cm
  30. 30. Tacloban, Civil Drone, Post-Disaster DETAIL
  31. 31. OpenStreetMap Tools and Services In the context of Activations
  32. 32. Tasking Manager Organizing the Mapping effort ● Partition the effort / Control simultaneous access ● Instructions, links to editors ● Confirm completion / Validate / Invalidate ● Assures complete coverage; Monitors progress ● Follow contributors Crowdsourced volunteer efforts work most efficiently when there is an organizing force behind the work www.e-education.
  33. 33. Tasking Manager – Interacts with Editor tools ◄ Square highlights zone to map Automatic download of existing data JOSM RemoteControl
  34. 34. ID : Online easy editing
  35. 35. OpenStreetMap Humanitarian Style Transport Style ---> Minimal
  36. 36. Osmose : Quality control
  37. 37. Query Tools : Overpass Service, Building and Road status visualization using Overpass OSM Extract Queries _mapping
  38. 38. HOT Exports ● Exports in various formats for Gis Analysis
  39. 39. Derived OSM Maps OSM layers are integrated in various products
  40. 40. IOM personal Joe Lowry CCBYSA2.0 “You should see people's faces light up when we arrive with a load of OpenStreetMap posters” Dale Kunce – American Red Cross American Red Cross. Used with permission
  41. 41. Impact Maps (Ushahidi or the like) Visov
  42. 42. Haiyan Typhoon Navigation data Robert Banick, Red Cross “When I was in Tacloban, I ran into a Red Cross team handing out relief supplies. They told me that OpenStreetMap—which we loaded onto their GPS devices as they deployed—was super useful. The maps saved them from getting lost or wasting time when they had to reroute off damaged roads. They were able to give directions to Filipino drivers. It all leads to more efficient delivery of supplies to people affected by Typhoon Haiyan.”
  43. 43. Wireless tools OSMTracker for Android ● Download OSM Background ● Edit Offline, save tracks, update with JOSM ● add note
  44. 44. Wireless tools OsmAnd, Route Details
  45. 45. Ebola Outbreak Wiki coordination
  46. 46. OpenStreetMap Tools and Services In the context of Activations
  47. 47. OpenStreetMap Tools and Services In the context of Activations
  48. 48. Ebola Outbreak Crowdsourcing Contributor follow-up
  49. 49. West Africa Ebola Outbreak OpenStreetMap Export Services – Daily updates
  50. 50. Crowdsourcing geospatial data Haiti , 2010 (600 mappers, 1.3 million objects approx.) Philippines, Nov.2013 (1,600 mappers, 4.5 million objects) Ebola Outbreak, West Africa, Mar.25 – Sept.12 2014 (1,333 mappers, 7,358,384 objects) → 8 Millions objects Sept.22 ● Extracts for GIS Analysis : Daily updates ● Navigation data for rescue teams : Daily updates (Garmin and OSMAnd Android) ● MSF ►Geospatial tools should be part of the answer for future epidemics
  51. 51. West Africa Ebola Outbreak, from March 2014 Response Coordination and support ● Pierre Béland amd Andrew Buck; Jean-Guilhem Cailton for imagery support; support team for various actions ● Coordination with CartONG/MSF, Red Cross, WHO, UN-OCHA and DHN partners ● Support from HIU, MapBox, Airbus Defense&Space for imagery requests ● Support from the OSM community, developpers and contributors