1. Harnessing the potential of crowd
sourcing for geospatial inventorying
in disaster response using Open
Source Geospatial Tools

3. What is it?
• Crowdsourcing is the practice of outsourcing
tasks to a broad, loosely defined external
group of people. The idea is generally to
introduce new or more developed skill sets or
a larger work force to achieve some specific
goal.
• The term was first coined in 2006 by Wired
magazine author Jeff Howe in an article titled
"The Rise of Crowdsourcing."

4. Other Name of Crowd Sourcing in GIS
• Neo-Geography
• Volunteered Geographic Information
• Collaboration GIS

5. Some Examples
• Possibly, the earliest example of Crowd Sourcing is the
collection of words for the Oxford English Dictionary (OED).
In 1858, a group called the Philological Society contracted
with over 800 volunteer readers to collect words from all
available books and document their usages.
Subsequently, the group solicited broader public input and
received over six million submissions over the 70 years of
the project.
• In 1936, Toyota held a contest seeking a new logo design.
The winning design from over 26,000 entries remained the
company's corporate logo until 1989.
• Wikipedia launched as a collaboratively written and edited
online encyclopaedia in January 2001. Free registration
enabled anyone to submit or edit an entry. The multilingual
site now hosts several million entries in English alone.

6. Mapping Using Crowd Sourcing
Wikimapia

7. Mapping Using Crowd Sourcing
Open Street Map

8. Mapping Using Crowd Sourcing

9. Mapping Using Crowd Sourcing

10. How it Works
• Feature Service
• User Input

11. Crowd Sourcing can Provide Solutions
where…..
Maps are OLD

12. Crowd Sourcing can Provide Solutions
where…..
We have No funds

13. Crowd Sourcing can Provide Solutions
where…..
Survey becomes really a very Time Consuming
Process & resulting in a Low Output

14. Disaster Management

15. Disaster Management
• Natural Disaster.
• Man – Made Disaster.

16. Planning after Disaster Management
• Send team to ground for data collection
• Acquire data in proper format, distribute to
concerned department.
• Plan evacuation
• Send teams on ground.

17. Undesired Outcome of Planning after
Disaster Management
Unplanned
Survey = Time = Loss of Capital / Life

18. Crowd Sourcing and Disaster
Management
User uploads data = Data for planning team

19. Crowd Sourcing and Disaster
Management
Data(VGI) = Saves Time for Survey

20. Crowd Sourcing and Disaster
Management
Data(VGI) = Saves life

21. How It Works?
Prepared
Processing
Data
Teams for
Server
Planning
User

22. Limitation

23. Limitations
1. Non Trained Volunteers.
2. Data Authentications
3. Standards / Quality of Acquired Data

24. A homeowner who evacuated based on
information from an online map created by a
volunteer might be responding to a false
positive, and by waiting for officials, verified
information might have avoided the need to
evacuate altogether. But on the other hand the
delay in acquiring information from official
sources might have made the difference literally
between life and death.

25. Crowd Sourcing- A New Way!
Nokia Maps Creator

26. Crowd Sourcing- A New Way!
Waze- Traffic & Roads

27. Architect of Application using Open
Source
XML
PostGIS
Open Open
Source Layer
Geo
Server

28. Data in XML
XML Lat
Lon
Data/Image

29. Cycle of Data input
User Edit
Server Save(x,y)
Store
PostGres
image/data

30. Aditya kumar/Manjush Koshy