3.1 Data Processing

3.1 Data Processing#

Learning Objectives#

  • Carry out an EO workflow on a cloud platform

  • Select suitable data

  • Chain processes to form an EO processing chain/workflow

  • Visualize the results

Introduction#

In this lecture we are going to combine the knowledge and hands-on experience we have gathered so far to create a full EO workflow on a cloud platform. We will

  • define a research question,

  • choose and load the necessary data sources,

  • define the data cube to our needs,

  • use functions to process the data,

  • visualize the result

  • and track the resources we are consuming on the platform.

Case Study: Landslide Mapping in Japan#

This case study will be demonstrated physically to describe what are the research questions and why we need to map the landslides and how we can do that better.