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Steffen Fritz 
Livestock Systems and Environment (LSE) Seminar 
ILRI, Nairobi, 27 February 2014 
Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Geo-wiki.org: a global platform to visualize, crowd-source and improve information on global land cover and land use 
Steffen Fritz 
Food and Water 
Ecosystem Services and Management 
Group Leader: Earth Observation Systems
Crowdsourcing 
•Outsourcing to the crowd (Howe, 2006) 
–E.g. Amazon’s Mechanical Turk 
–Wikipedia 
With geographic context termed Volunteered Geographic Information 
–Open Streetmap 
–Geo-wiki 
•Different levels of participation (passive and active)
Technology 
In-Situ 
Value Added 
Mobile Phones 
Mobile Money 
Interested Citizens 
Existing Communities 
Improved 
Land Cover data 
Reliable statistics 
Land-use change 
Extending Geo-wiki to ground based data collection
GLOBIOM 
A globalrecursively dynamic partial equilibrium modelintegrating the agricultural, bioenergyand forestry sectors with the aim to give policy advice on global issues concerning land use competition between the major land-based production sectors. 
Environmental Resources and Development
Land Cover 
•GLC2000 (1km) 
•MODIS v.5 –2005 (500m) 
•GlobCover2005, 2009 (300m) 
•GLC v.2 (1km) 
•Regional products (CORINE, Africover) 
•National products
Disagreement in Africa in the cropland domain between GLC-2000 and MODIS v. 5 
Fritz et al ERL, 2012
Why is it so important to improve global land cover? 
Critical input dataset for many societal benefit areas, e.g. Ecosystems, Biodiversity, Energy, Climate, Disasters 
Originally focus and applications -field of climate change projections 
Now increasing demand from the integrated assessment community and the global biophysical modelling community, e.g. REDD 
Cropland extent has been neglected, but is crucial for applications in the field of food security, assessing yield and production gaps 
Also important for investment decisions both by governments as well as foundations (e.g. Gates)
Motivations behind Geo-Wiki 
When different products are compared, there is a lot of disagreement between them 
One product might say cropland, another grassland 
Confusing if you are a user –which one is correct? Which is the best product to use? 
Disagreement overall and/or spatially 
Google Earth is one of the only affordable tools available to collect validation points globally (e.g. GlobCover, latest Chinese product) 
Repository of validation/calibration data 
Create a hybrid global land cover map (i.e. improve land cover)
www.geo-wiki.org
http://Geo-Wiki.org 
•Geo-wiki makes GEO data easy to visualize and analyze. 
•Volunteers from around the globe can classify Google Earth imagery, input their agreement/ disagreement with the existing data 12
Spatial Disagreements
Cropland
Fritz et al, 2013, Environmental Science and technology 
Downgrading recent estimates of 
land availability using crowdsourcing 
Caiet al., 2011 
1107 mil. hectares 
Fritz et al. 
375 mil. hectares
Field Size
Human Impact / Wilderness
Land acqisitions
Source: WorldMapper.org 
Deaths related to Drought
Land Grabbing 
Source: http://www.petergiovannini.com/Landgrabbing/index.html
Source: Anseeuwet al. (2012) –Transnational Land Deals for Agriculture in the Global South 
(Hectares) 
(# of 
deals)
www.geo-wiki.org
`
Land Acquisition 
Area 
(from Land Matrix 
Database) 
+ 
Clear Evidence 
of Settlements 
(from Geo-Wiki 
Hackathon) 
= 
Areas 
of Conflict
Risk for conflict
Geo-Wiki Family of CrowdsourcingTools 
Livestock 
Cities
Choose a branch
Geo-Wiki Pictures
Photo upload
Provide feedback
Settings
Creating a Custom Legend
Custom Legend in the App
http://services.geo-wiki.org/SMVDemo/
Farmsupportapp
Expert 
Crowd 
Treated Crowd 
How can we gain confidence in the crowdsourceddata? 
Foody, See, Fritz et al., 2013
How can we integrate the crowdsourceddata? 
-Calibration / Validation of Remotely Sensed Maps 
-Map integration and hybrid map generation using many different sources including crowdsourcedand authorativedata
Geo-wiki.org or Tablets of phones: search for ‘cropland capture’ 
Release date is 10. November 2013
Thank you! 
•fritz@iiasa.ac.at 
•Geo-wiki.org

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Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

  • 1. Steffen Fritz Livestock Systems and Environment (LSE) Seminar ILRI, Nairobi, 27 February 2014 Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
  • 2. Geo-wiki.org: a global platform to visualize, crowd-source and improve information on global land cover and land use Steffen Fritz Food and Water Ecosystem Services and Management Group Leader: Earth Observation Systems
  • 3. Crowdsourcing •Outsourcing to the crowd (Howe, 2006) –E.g. Amazon’s Mechanical Turk –Wikipedia With geographic context termed Volunteered Geographic Information –Open Streetmap –Geo-wiki •Different levels of participation (passive and active)
  • 4.
  • 5. Technology In-Situ Value Added Mobile Phones Mobile Money Interested Citizens Existing Communities Improved Land Cover data Reliable statistics Land-use change Extending Geo-wiki to ground based data collection
  • 6.
  • 7. GLOBIOM A globalrecursively dynamic partial equilibrium modelintegrating the agricultural, bioenergyand forestry sectors with the aim to give policy advice on global issues concerning land use competition between the major land-based production sectors. Environmental Resources and Development
  • 8. Land Cover •GLC2000 (1km) •MODIS v.5 –2005 (500m) •GlobCover2005, 2009 (300m) •GLC v.2 (1km) •Regional products (CORINE, Africover) •National products
  • 9. Disagreement in Africa in the cropland domain between GLC-2000 and MODIS v. 5 Fritz et al ERL, 2012
  • 10. Why is it so important to improve global land cover? Critical input dataset for many societal benefit areas, e.g. Ecosystems, Biodiversity, Energy, Climate, Disasters Originally focus and applications -field of climate change projections Now increasing demand from the integrated assessment community and the global biophysical modelling community, e.g. REDD Cropland extent has been neglected, but is crucial for applications in the field of food security, assessing yield and production gaps Also important for investment decisions both by governments as well as foundations (e.g. Gates)
  • 11. Motivations behind Geo-Wiki When different products are compared, there is a lot of disagreement between them One product might say cropland, another grassland Confusing if you are a user –which one is correct? Which is the best product to use? Disagreement overall and/or spatially Google Earth is one of the only affordable tools available to collect validation points globally (e.g. GlobCover, latest Chinese product) Repository of validation/calibration data Create a hybrid global land cover map (i.e. improve land cover)
  • 13. http://Geo-Wiki.org •Geo-wiki makes GEO data easy to visualize and analyze. •Volunteers from around the globe can classify Google Earth imagery, input their agreement/ disagreement with the existing data 12
  • 15.
  • 16.
  • 18.
  • 19.
  • 20. Fritz et al, 2013, Environmental Science and technology Downgrading recent estimates of land availability using crowdsourcing Caiet al., 2011 1107 mil. hectares Fritz et al. 375 mil. hectares
  • 21.
  • 23. Human Impact / Wilderness
  • 25. Source: WorldMapper.org Deaths related to Drought
  • 26. Land Grabbing Source: http://www.petergiovannini.com/Landgrabbing/index.html
  • 27.
  • 28. Source: Anseeuwet al. (2012) –Transnational Land Deals for Agriculture in the Global South (Hectares) (# of deals)
  • 30.
  • 31.
  • 32. `
  • 33.
  • 34. Land Acquisition Area (from Land Matrix Database) + Clear Evidence of Settlements (from Geo-Wiki Hackathon) = Areas of Conflict
  • 36. Geo-Wiki Family of CrowdsourcingTools Livestock Cities
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 49. Custom Legend in the App
  • 52. Expert Crowd Treated Crowd How can we gain confidence in the crowdsourceddata? Foody, See, Fritz et al., 2013
  • 53. How can we integrate the crowdsourceddata? -Calibration / Validation of Remotely Sensed Maps -Map integration and hybrid map generation using many different sources including crowdsourcedand authorativedata
  • 54. Geo-wiki.org or Tablets of phones: search for ‘cropland capture’ Release date is 10. November 2013