1 year ago
On a date
13 Sep 16’
CITIZEN SCIENCE VALIDATION OF CROP MASKS
When we build agricultural risk models it is important to have accurate data describing where crops are grown. Most of the existing so-called crop masks are derived from a combination of national inventories of agricultural production, and remote-sensed images of the Earth’s land surface. Such datasets do a good job describing the major patterns of crop coverage across continents but can often disagree on the local details.
One exciting new approach, being led by the geo-wiki project, is to crowd-source the problem. Citizen Science has been successfully applied to other scientific problems. Such as the classification of galaxies (Galaxy Zoo), and the recovery and digitization of old weather data from ships logs (Old Weather). Ideal projects for Citizen Science involve a lot of data that require humans to sift through and make sense of.
The Geo-wiki project previously used a similar approach to produce the first ever global dataset of field size, revealing the huge variation in field size across the world. With the new project their aim is to validate around 40,000 areas of interest as cropland or non-cropland, which will help to better identify where cropland is actually located on the Earth’s surface.
The top 30 participants (ranked by a combination of the highest quality and quantity of validations) will have the option to choose between two main prizes: 1) to become a co-author on a scientific paper about our latest and best global cropland map or 2) to receive an Amazon gift voucher, which will range in value from 25 to 750 EUR, depending upon your position on the final leaderboard.
To find out more, visit: geo-wiki.org/branches/sigma/
Posted 1 year ago by admin