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Lecture 8: Volunteered Geographic Information (VGI) for Disaster Emergency Response

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Lecture 8: Volunteered Geographic Information (VGI) for Disaster Emergency Response
Task Force Pendukung Data Spasial (TF-PDS)
Gempa Lombok (UGM)
2019 ProSPER.Net Young Researchers' School
5 March 2019

Publié dans : Environnement
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Lecture 8: Volunteered Geographic Information (VGI) for Disaster Emergency Response

  1. 1. Volunteered Geographic Information (VGI) for Disaster Emergency Response Task Force Pendukung Data Spasial (TF-PDS) Gempa Lombok Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada Center for Remote Sensing and Integrated Surveys (PUSPICS)
  2. 2. Outline • Background • Objectives • Approach • Results • Conclusions
  3. 3. Background
  4. 4. JUDUL SUB-BAGIAN https://www.bbc.com/indonesia/indonesia-45149379 • There were more than 400 aftershocks • It took 321 human lives (BNPB) • 270.168 people were displaced (BNPB) • Thousands of damaged buildings (accessed on 11 August 2018)
  5. 5. Background • Right after the disaster happen, immediate emergency actions need to be taken to save lives and to prevent further damage. • Social media has recently played a critical role in community communication • Social media act as information propagator that can be useful for disaster relief. • Most people have access to social media. https://www.quora.com/What-is-disaster-management-cycle
  6. 6. Objectives • To build a spatial data support task force for Lombok earthquake, which was aimed to: • create an online map of Lombok earthquake that shows (1) disaster affected areas, (2) disaster victim need and (3) field situation, and • identify the damaged buildings from remote sensing images. • This team was initiated by Faculty of Geography UGM and supported by students, DERU UGM, field volunteers. • This work was a replication of our experience in Yogya earthquake in 2006.
  7. 7. The Timeline August 2018 17 5 18:46:35 Earthquake 7 RS First team meeting - Provide online disaster victim needs map Joining UNITAR-UNOSAT activity - To interpret building damages from Pleiades images Uploading the interpretation results online Team shut down 6 13 9 17 First Task Second Task First meeting: method discussion, GIS lab Faculty of Geography UGM Data collection and processing, RS lab Faculty of Geography UGM
  8. 8. Our approach “Triple C Method” Community Communication Cartography Victims of EQ Victims needs reports (social media, radio stations, media-center, website, etc.) Printed maps & Web GIS Govt, NGO Our products via GoogleMap and WebGIS Public Crowdsource Coordination The map works as an intermediary between the public and relief organizations Aids
  9. 9. First task product (1, 2, & 3) www.goo.gl/vRrghD First task product 1: • Based on Web Map (Google) • Combined data from Social Media and Volunteered • Disaster victim needs - Web Map
  10. 10. http://ugm.id/petabencanalombok2018a First task product 2: • Based on Web GIS (ESRI) • Combined data from instagram and building damage mapping by GDACS. • Map icons are more intuitive • Flexibility in map layer management
  11. 11. http://geoportal.puspics.ugm.ac.id First task product 3: • Based on Geoportal (Geoserver, Geonode) • Data sharing and metadata • Flexibility in data and map management
  12. 12. Geography UGM Geoportal
  13. 13. Geography UGM Geoportal
  14. 14. Information dissemination
  15. 15. Information dissemination It doesn’t take long to get international attention. UNOSAT re-tweet the link on 6 August 2018.
  16. 16. Field information updates Updates of field data and field photos. Thanks to the volunteers! Damaged house
  17. 17. Second Task: Joining UNITAR-UNOSAT activity UNITAR - United Nations Institute for Training and Research, www.unitar.org UNOSAT - UNITAR’s Operational Satellite Applications Programme, https://unitar.org/unosat GDACS – Global Disaster Alert and Coordination System, http://gdacs.org/ Objective: To identify the damaged buildings from high- spatial resolution remote sensing images.
  18. 18. GDACS – Global Disaster Alert and Coordination System
  19. 19. UNITAR-UNOSAT http://gdacs-smcs.unosat.org/events/92 Copernicus UNOSAT SERTIT LAPAN ? ? Sambelia district Pringgabaya district
  20. 20. UNITAR-UNOSAT Pleiades images, 0.5m pixel size
  21. 21. Pleiades image interpretation Volunteers interpret the image at PUSPICS Faculty of Geography UGM • Pleiades images, 0,5 m pixel size, acquired on 8 August 2018 • Sambelia and Pringgabaya scenes, East Lombok, NTB • The interpretation process took about 12 hours. • The results were not verified in the field.
  22. 22. Damaged building identification Pre: Google Earth 2017 Post: Pleiades 8/8/2018 Visual interpretation Pre-EQ Post-EQ
  23. 23. JUDUL SUB-BAGIAN Result of image interpretation
  24. 24. Media & web map UNOSAT’s tweet on 10 August 2018. A geospatial community contribution for humanity.
  25. 25. Media & web map https://disasterscharter.org/i mage/journal/article.jpg?img _id=953886&t=15341569944 89
  26. 26. Conclusions Crowdsource-based disaster mapping is powerful: • The data can be collected immediately after the disaster. • Collect data from multiple platforms or apps. • Geo-tagging capability. It also poses some issues… • Accuracy and appropriateness of the data collected. • Social media security.
  27. 27. Thank you Contributors: Dr. Nur Mohammad Farda, M.Cs. , Muhammad Kamal, M.GIS., Ph.D., Ibnu Rosyadi, M.Cs. , Totok Wahyu Wibowo, M.Sc., and All students and field volunteers