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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)
Outline
• Background
• Objectives
• Approach
• Results
• Conclusions
Background
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)
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
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.
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
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
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
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
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
Geography UGM Geoportal
Geography UGM Geoportal
Information dissemination
Information dissemination
It doesn’t take long to get international attention.
UNOSAT re-tweet the link on 6 August 2018.
Field information updates
Updates of field data and field photos. Thanks to the volunteers!
Damaged house
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.
GDACS – Global Disaster Alert and Coordination System
UNITAR-UNOSAT http://gdacs-smcs.unosat.org/events/92
Copernicus
UNOSAT
SERTIT LAPAN
?
?
Sambelia district
Pringgabaya district
UNITAR-UNOSAT
Pleiades images,
0.5m pixel size
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.
Damaged
building
identification
Pre: Google Earth 2017
Post: Pleiades 8/8/2018
Visual interpretation
Pre-EQ Post-EQ
JUDUL SUB-BAGIAN
Result of
image
interpretation
Media &
web map
UNOSAT’s tweet on 10 August 2018.
A geospatial community contribution
for humanity.
Media &
web map
https://disasterscharter.org/i
mage/journal/article.jpg?img
_id=953886&t=15341569944
89
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.
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

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