Visual tools for crowdsourcing data validation within the GlobeLand30 geoportal

E. Chuprikova, H. Wu, C. E. Murphy, L. Meng

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

This research aims to investigate the role of visualization of the user generated data that can empower the geoportal of GlobeLand30 produced by NGCC (National Geomatics Center of China). The focus is set on the development of a concept of tools that can extend the Geo-tagging functionality and make use of it for different target groups. The anticipated tools should improve the continuous data validation, updating and efficient use of the remotely-sensed data distributed within GlobeLand30.

Keywords

  • Crowdsourcing
  • Global land cover
  • GlobeLand30
  • Sense making visualization
  • Visual tools
  • Volunteered geographic information

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