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

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Presentation on theme: "Harnessing the potential of crowd sourcing for geospatial inventorying in disaster response using Open Source Geospatial Tools."— Presentation transcript:

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

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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 Wikipedia launched as a collaboratively written and edited online encyclopaedia in January Free registration enabled anyone to submit or edit an entry. The multilingual site now hosts several million entries in English alone. Wikipedia

6 Mapping Using Crowd Sourcing Wikimapia

7 Mapping Using Crowd Sourcing Open Street Map

8 Mapping Using Crowd Sourcing

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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 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 Data Teams for Planning User Server Processing

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 Open Source XML Open Layer Geo Server PostGIS

28 Data in XML XML Lat Lon Data/Image

29 Cycle of Data input User EditSave(x,y) Store image/data PostGresServer

30 Aditya kumar/Manjush Koshy

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