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Akademický článek

INTEGRATING CONCEPTS OF ARTIFICIAL INTELLIGENCE IN THE EO4GEO BODY OF KNOWLEDGE

Autor: R. Lemmens, S. Lang, F. Albrecht, E. Augustijn, C. Granell, M. Olijslagers, C. Pathe, C. Dubois, M. Stelmaszczuk-Górska

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2022, Pp 53-59 (2022)

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

Externí odkaz: https://doaj.org/article/89faa412e4394916aa79b5a6b7704bcc

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Akademický článek

BODY OF KNOWLEDGE FOR THE EARTH OBSERVATION AND GEOINFORMATION SECTOR – A BASIS FOR INNOVATIVE SKILLS DEVELOPMENT

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 15-22 (2020)

With new Earth Observation (EO) and Geoinformation (GI) data sources increasingly becoming available, evermore new skills for data collection, processing, analysis and application are required. They are needed not only from scientists, but also from

Externí odkaz: https://doaj.org/article/025cf163a5c34882903f5d7df8f09f56

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Akademický článek

Finding and sharing GIS methods based on the questions they answer

Autor: S. Scheider, A. Ballatore, R. Lemmens

Publikováno v: International Journal of Digital Earth, Vol 12, Iss 5, Pp 594-613 (2019)

Geographic information has become central for data scientists of many disciplines to put their analyzes into a spatio-temporal perspective. However, just as the volume and variety of data sources on the Web grow, it becomes increasingly harder for an

Externí odkaz: https://doaj.org/article/2be6b8e221a34009b7865a33d0fa2f11

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Akademický článek

LINKDALE: A LIGHTWEIGHT LEARNING ENVIRONMENT FOR (GEOSPATIAL) LINKED DATA

Autor: S. Ronzhin, G. Bosch, E. Folmer, R. Lemmens

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W8, Pp 187-190 (2018)

Modern software tools for managing Linked Data are often designed for skilled users. Therefore, they cannot be used for education purposes because they require substantial a priori knowledge about the Resource Description Framework and the SPARQL que

Externí odkaz: https://doaj.org/article/eb547581219c4ccf930620603a09340b

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Akademický článek

IMPLEMENTATION OF A COMPREHENSIVE AND EFFECTIVE GEOPROCESSING WORKFLOW ENVIRONMENT

Autor: R. Lemmens, B. Toxopeus, L. Boerboom, M. Schouwenburg, B. Retsios, W. Nieuwenhuis, C. Mannaerts

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W8, Pp 123-127 (2018)

Many projects and research efforts implement geo-information (GI) workflows, ranging from very basic ones to complicated software processing chains. The creation of these workflows normally needs considerable expertise and sharing them is often hampe

Externí odkaz: https://doaj.org/article/7523b46b09a944ab98a177074737d5a6

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