geo-wiki.org: a global platform to visualize, crowd-source and improve information on global land...
DESCRIPTION
Presented by Steffen Fritz (IIASA) at the Livestock Systems and Environment (LSE) Seminar, ILRI, Nairobi, 27 February 2014TRANSCRIPT
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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
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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
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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)
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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
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GLOBIOM
A global recursively
dynamic partial equilibrium
model integrating the
agricultural, bioenergy
and 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
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Land Cover
• GLC2000 (1km)
• MODIS v.5 – 2005 (500m)
• GlobCover 2005, 2009 (300m)
• GLC v.2 (1km)
• Regional products (CORINE,
Africover)
• National products
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Disagreement in Africa in the cropland domain between GLC-2000 and MODIS v. 5
Fritz et al ERL, 2012
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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)
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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)
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www.geo-wiki.org
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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
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Spatial Disagreements
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Cropland
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Fritz et al, 2013, Environmental Science and technology
Downgrading recent estimates of
land availability using crowdsourcing
Cai et al., 2011
1107 mil. hectares
Fritz et al.
375 mil. hectares
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Field Size
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Human Impact / Wilderness
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Land acqisitions
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Source: WorldMapper.org
Deaths related to Drought
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Land Grabbing
Source: http://www.petergiovannini.com/Landgrabbing/index.html
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Source: Anseeuw et al. (2012) – Transnational Land Deals for Agriculture in the Global South
(Hectares) (# of
deals)
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www.geo-wiki.org
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`
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Land Acquisition
Area
(from Land Matrix
Database)
+Clear Evidence
of Settlements
(from Geo-Wiki
Hackathon)
=Areas
of Conflict
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Risk for conflict
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Geo-Wiki Family of Crowdsourcing
Tools
Livestock
Cities
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Choose a branch
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Geo-Wiki Pictures
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Photo upload
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Provide feedback
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Settings
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Creating a Custom Legend
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Custom Legend in the App
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Farmsupport app
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Expert Crowd Treated Crowd
How can we gain confidence in the crowdsourced data?
Foody, See, Fritz et al., 2013
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How can we integrate the crowdsourced
data?
- Calibration / Validation of Remotely Sensed
Maps
- Map integration and hybrid map generation using
many different sources including crowdsourced
and authorative data
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Geo-wiki.org or Tablets of phones: search for ‘cropland capture’
Release date is 10. November 2013