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IGARSS 2018: Open Data Cube (ODC) Workshop
July 22, 2018  |  Valencia, Spain



The Open Data Cube (ODC) is an open source data architecture that allows analysis-ready satellite data to be packaged in "cubes" to minimize data preparation complexity and take advantage of modern computing for increased value and impact of Earth observation data. The ODC is a common analytical framework that includes API development, cloud integration, a web-based user interface, and data analytics to facilitate the organization and analysis of large, gridded data collections. Based on analysis ready data from current CEOS satellite systems, the ODC is a technological solution that removes the burden of data preparation, yields rapid results, and utilizes an international global community of contributors. The ODC is currently operating in Australia, Colombia and Switzerland with plans to expand operations to more than 20 countries by the year 2020.



The IGARSS Data Cube Workshop is intended to introduce the Open Data Cube (ODC) to users and provide hands-on training on the use of the data and approaches for applying application algorithms to produce relevant products for decision-making. 


Technical attendees should have a good knowledge of geospatial satellite data with an interest in learning how to use the data cube for the generation of application products or the management of such data. Python code experience is not required, but is desired. Technical attendees should bring a laptop computer with internet access.


The workshop day is split into three sections: 

  1. Introduction & ODC Concepts

  2. Using the ODC User Interface

  3. ODC Applications using Jupyter Notebooks

Training team: Brian Killough, Syed Rizvi, Andrew Cherry, Otto Wagner, Sanjay Gowda


Open Data Cube Tutorial at IGARSS 2018

Sunday, July 22 2018

Section 1: Introduction and Concepts

8:30 AM    Registration

9:00 AM    Open Data Cube: Background

9:30 AM    Tutorial Plans and Goals

9:45 AM    Break

Section 2: User Interface

10:00 AM    Introduction to the web-based User Interface

10:30 AM    Hands-On Training Modules

  • Cloud-Free Mosaics

  • Water Extent and Water Quality

12:00 AM    Lunch

Section 3 Jupyter Notebooks

1:00 PM    Introduction to Jupyter Notebooks

1:15 PM   Hands-On Training Modules

Approximately 30 minutes will dedicated to each training module

  • Cloud_free Mosaics and K-means Clustering

  • Water Observation from Space (WOFS) and TSM

  • Fractional Cover and Spectral Indices

3:15 PM    Break

3:30 PM    NDVI Trend and NDVI Standard Deviation Anomaly

  • Transect Analysis

  • Data Export

5:30 PM    Q&A/Wrap-up

6:00 PM    Adjourn

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