Integrating concepts of artificial intelliegence in the EO4GEO body of knowledge

R. Lemmens*, S. Lang, F. Albrecht, P.W.M. Augustijn, C. Granell, M. Olijslagers, C. Pathe, C. Dubois, M. Stelmaszczuk-Górska

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
29 Downloads (Pure)


The EO4GEO Body of Knowledge (BoK) forms a structure of concepts and relationships between them, describing the domain of Earth Observation and Geo-Information (EO/GI). Each concept carries a short description, a list of key literature references and a set of associated skills which are used for job profiling and curriculum building. As the EO/GI domain is evolving continuously, the BoK needs regular updates with new concepts embodying new trends, and deprecating concepts which are not relevant anymore. This paper presents the inclusion of BoK concepts related to Artificial Intelligence. This broad field of knowledge has links to several applications in EO/GI. Its connection to concepts, already existing in the BoK, needs special attention. To perform a clean and structural integration of the cross-cutting domain of AI, first a separate cluster of AI concepts was created, which was then merged with the existing BoK. The paper provides examples of this integration with specific concepts and examples of training resources in which AI-related concepts are used. Although the presented structure already provides a good starting point, the positioning of AI within the EO/GI-focussed BoK needs to be further enhanced with the help of expert calls as part of the BoK update cycle.

Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publicationXXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission IV
EditorsS. Zlatanova, G. Sithole, J. Barton
Number of pages7
Publication statusPublished - 1 Jun 2022
EventXXIV ISPRS Congress 2022: Congress “Imaging today, foreseeing tomorrow” - Nice, France
Duration: 6 Jun 202211 Jun 2022

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
ISSN (Print)1682-1750


ConferenceXXIV ISPRS Congress 2022
Abbreviated titleISPRS 2022
Internet address


  • Artificial Intelligence
  • Body of Knowledge
  • Concept model
  • Geocomputation
  • Machine Learning
  • Ontology


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