IGARSS 2018: Open Data Cube (ODC) Workshop
July 22, 2018 | Valencia, Spain
TRAINING CENTER
Description
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.
Objectives
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.
Attendees
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:
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Introduction & ODC Concepts
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Using the ODC User Interface
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ODC Applications using Jupyter Notebooks
Training team: Brian Killough, Syed Rizvi, Andrew Cherry, Otto Wagner, Sanjay Gowda
AGENDA
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
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Cloud-Free Mosaics
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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
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Cloud_free Mosaics and K-means Clustering
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Water Observation from Space (WOFS) and TSM
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Fractional Cover and Spectral Indices
3:15 PM Break
3:30 PM NDVI Trend and NDVI Standard Deviation Anomaly
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Transect Analysis
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Data Export
5:30 PM Q&A/Wrap-up
6:00 PM Adjourn