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Intro to Earth Observation for Natural Disasters

SOT86091Specialisations6 ECTSEnglishwinter semesterDepartment Governance
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will receive an introduction to remote sensing, artificial intelligence and Google Earth Engine (GEE) with a focus on how information derived from them can support decision-makers before, during and after natural and anthropogenic disasters. You will also learn how satellite data can inform public policy, the SDGs and humanitarian objectives. By the end of the module you will be able to use Earth observation data and create simple damage or event models.

What you will be able to do

  • Understand the basics of remote sensing
  • Master the core concepts of Google Earth Engine and Google Colab
  • Implement and utilize Earth observation data
  • Create models for various natural disasters (e.g. wildfires, floods, oil spills)

What the module consists of

  • Seminarcentral framework of the module; combines introductory session, Moodle materials and block events; basis for group work

Teaching method

  • Kick-off EventIntroduction to topics and organization
  • Moodle course materialsprovision of instructional content and self-study
  • Block eventsdeepening of topics and practical sessions
  • Group projectapplication of learned material to model a chosen disaster
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Official page in TUMonline · Details are not binding.