Cropland Capture game brings citizen science to global food research

Nov 15, 2013
Cropland Capture game brings citizen science to global food research
Play Cropland Capture and contribute to global land cover research at the same time. Credit: IIASA

Cropland Capture, a new game version of IIASA's long-running GeoWiki project, engages citizen scientists in global land cover research, helping researchers identify farmland around the world. These data are essential for understanding global food security, identifying yield gaps, and monitoring crops affected by droughts.

"Our current knowledge of where cropland is located is unbelievably poor," explains GeoWiki project leader, IIASA researcher Steffen Fritz. "The game will provide data that could help us improve that knowledge."

Fritz and colleagues will turn the data from the game into a new global cropland map, improved over previous versions by adding thousands of validated data points to current satellite maps, which have coarse resolution and limited national data.

To play the game, players look at satellite images of the Earth's surface and note whether they see cropland in the image or not. While this sort of validation can be computerized to some extent, people still perform better than computers. Previous research by the GeoWiki team, published in the journal PLOS ONE, showed that even non-experts can do a quality job of analyzing land-cover.

The game will be played for six months, with the top scorer each week named as weekly winner. The 25 weekly winners will be entered into a drawing at the end of the competition to win three big prizes: an Amazon Kindle, a brand new smartphone, and a tablet.

Cropland Capture also brings a social element to citizen science. Players and scores will be displayed on a leaderboard, for example, and players can 'like' an image and send it to a gallery. The can also be played using geotagged pictures available through the photo programs Panoramio or Flickr.

Explore further: Citizen scientists rival experts in analyzing land-cover data

More information: PLOS ONE. DOI: 10.1371/journal.pone.0069958

Journal reference: PLoS ONE search and more info website

Provided by International Institute for Applied Systems Analysis

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