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CROWDVAL: Using Crowdsourcing and Innovative Approaches to Evaluate and Validate ESA’s Land Cover Products

INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS (IIASA) (AT)

Summary

The CrowdVal project had five main objectives:

  1. Develop new innovative sampling schemes that allow a stratification and bias removal via road networks and that take other constraints into account for in-situ data collection;
  2. Enhance LACO-Wiki and LACO-Wiki Mobile with the new sampling strategies, functionality for opportunistic map evaluation on the ground, and the addition of auxiliary data sets including Flickr geo-tagged pictures and time series of NDVI;
  3. Create an open source version of LACO-Wiki Mobile;
  4. Demonstrate the enhanced tools through crowdsourcing data collection campaigns (online and in-situ) to validate the first land cover map of Africa at a 20m spatial resolution; and
  5. Investigate the possibility of developing a business model around an open source version of LACO-Wiki Mobile with a payment model around access to enhanced features, e.g. additional data sources, commercial satellite imagery, increased sample size, etc.

Information

Domain
Applications
Prime contractor
INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS (IIASA) (AT)
Subcontractors
  • CS SYSTEMES D’INFORMATION (FR)
  • GISAT S.R.O. (CZ)