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Presented by Steffen Fritz (IIASA) at the Livestock Systems and Environment (LSE) Seminar, ILRI, Nairobi, 27 February 2014
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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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Page 1: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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

Page 2: 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

Page 3: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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)

Page 4: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 5: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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

Page 6: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 7: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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

Page 8: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Land Cover

• GLC2000 (1km)

• MODIS v.5 – 2005 (500m)

• GlobCover 2005, 2009 (300m)

• GLC v.2 (1km)

• Regional products (CORINE,

Africover)

• National products

Page 9: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Disagreement in Africa in the cropland domain between GLC-2000 and MODIS v. 5

Fritz et al ERL, 2012

Page 10: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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)

Page 11: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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)

Page 12: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

www.geo-wiki.org

Page 13: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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

Page 14: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Spatial Disagreements

Page 15: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 16: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 17: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Cropland

Page 18: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 19: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 20: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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

Page 21: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 22: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Field Size

Page 23: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Human Impact / Wilderness

Page 24: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Land acqisitions

Page 25: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Source: WorldMapper.org

Deaths related to Drought

Page 26: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Land Grabbing

Source: http://www.petergiovannini.com/Landgrabbing/index.html

Page 27: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 28: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Source: Anseeuw et al. (2012) – Transnational Land Deals for Agriculture in the Global South

(Hectares) (# of

deals)

Page 29: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

www.geo-wiki.org

Page 30: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 31: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 32: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

`

Page 33: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 34: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Land Acquisition

Area

(from Land Matrix

Database)

+Clear Evidence

of Settlements

(from Geo-Wiki

Hackathon)

=Areas

of Conflict

Page 35: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Risk for conflict

Page 36: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Geo-Wiki Family of Crowdsourcing

Tools

Livestock

Cities

Page 37: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Choose a branch

Page 38: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 39: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 40: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 41: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 42: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 43: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use
Page 44: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Geo-Wiki Pictures

Page 45: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Photo upload

Page 46: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Provide feedback

Page 47: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Settings

Page 48: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Creating a Custom Legend

Page 49: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Custom Legend in the App

Page 50: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

http://services.geo-wiki.org/SMVDemo/

Page 51: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Farmsupport app

Page 52: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Expert Crowd Treated Crowd

How can we gain confidence in the crowdsourced data?

Foody, See, Fritz et al., 2013

Page 53: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

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

Page 54: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Geo-wiki.org or Tablets of phones: search for ‘cropland capture’

Release date is 10. November 2013

Page 55: Geo-wiki.org: A global platform to visualize, crowd-source and improve information on global land cover and land use

Thank you!

[email protected]

• Geo-wiki.org


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