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Machine Learning for Geospatial Data Science
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Classroom Contents
Geospatial Standards for Data Science - Dr. Gobe Hobona, OGC
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- 1 Intro
- 2 Overview
- 3 Mission of the Open Geospatial Consortium
- 4 About the OGC
- 5 Geospatial Information is Everywhere
- 6 Addressing the Geospatial Interoperability Challenge
- 7 What is an OGC Standard?
- 8 Leveraging OGC Standards for Data Science
- 9 Observations and Measurements
- 10 Examples of Sensor Web Enablement Implementations
- 11 Semantic Sensor Network Ontology
- 12 Time Ontology in OWL
- 13 Geospatial Coverages
- 14 Geospatial Data Cubes
- 15 Earth Science Data Analytics
- 16 Example DGGS
- 17 Standardising Discrete Global Grid Systems
- 18 OGC Moving Features Standard
- 19 Moving Features: one trajectory, one geometry
- 20 Moving Features: Two trajectories
- 21 Cloud Computing
- 22 Machine Learning for Geospatial Data Science
- 23 Example: Classification Output (2)
- 24 Examples of Recent Engineering Reports
- 25 OGC Technology Trends Analysis
- 26 Example OGC Working Groups
- 27 Conclusions
