In this self-paced course, you will learn about the concept of Open Machine Learning in Earth Observation. It will take you about 18 hours to complete the course. The provision of these train materials are meant for self-directed independent learning. No certification is provided.
This course has been created for everyone with a background in data science, data engineering and machine learning (ML), with a strong interest in geospatial and remote sensing data as well as related business models.
This course introduces the concepts Machine learning, GIS, Remote Sensing and GIS data collection methods.
It will take you around 18 hours to complete this course.
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Topics Overview: Introduction to GIS; Introduction to Remote Sensing; GIS data collection methods; Introduction to ML and Python
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Course Developer: This course has been developed by GFA Consulting Group GmbH in cooperation with GIZ, Fair Forward and Digital Transformation Center Rwanda.
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Contact Person: For questions related to the course content, please contact [email protected].
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Content License: CC-BY-SA
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Publication Date: 01 February 2024
- Review the Curriculum_Outline.docx file for an overview of each module
- Depending on your level of familiarity, select a module to start with. The modules typically build on each other, but the initial modules may be overly basic for some learners (e.g. Module 4 Introduction to Machine Learning and Python)
- Review the module outline file for an overview of the learning objectives
- Review the module reader (docx files)
- Read the lecture notes (pptx files)
- Complete the exercises