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Africa Regional Data Cube



May 2-11, 2018

Strathmore University, Nairoby, Kenya

Objectives: The Africa Regional Data Cube (ARDC) Workshop is intended to introduce the Open Data Cube (ODC) to local users and provide hands-on training on the management of the data and approaches for applying application algorithms to produce relevant products for decision-making. The workshop is intended to be “invitation only” to maintain a focus on the ARDC and to achieve an operational condition at the end of the 3 days training.  

Download the full ARDC

Training Manual:

ARDC Workshop Agenda

Wednesday, May 9

8: 30 AM    Registartion

9:00 AM     Opening Remarks І Logistics І Goals

10:00 AM   ARDC Vision

10:30 AM   Open Data Cube: Background

11:00 AM   Break

11:30 AM   Open Data Cube: ARDC Plans

12:00 AM   Uganda IPP Project

12:30-2:00  Lunch

Country reports:

Each country will have 30 minutes to present their goals, objectives, and challenges regarding the use of the Data Cube/ This might include a summary of desired application products and connections with national stakeholder agencies (e.g. statistical, environment) The outcome of this session will improve the “hands on” training sessions (Days 2 and 3) and will set the path for the future.

2:00 PM    Kenya Report

2:30 PM    Ghana Report

3:00 PM    Senegal Report

3:30 PM    Break

4:00 PM    Tanzania Report

4:30 PM    Sierra Leone Report

5:00 PM    Adjourn

6:30 PM    Dinner/ Social



ARDC Workshop Agenda

Thusday, May 10 

7:30-9:00 AM    ARDC Launch Event at the Radisson Blu Hotel

ARDC Training at Strathmore University

9:30 AM     Data Cube Applications (summary)

10:00 AM   Fundamentals of the ODC Framework

10:45 AM   DEMO-Online User Interface

11:30 AM   Break

12:00 AM   Jupyter Python Notebook Tutorial

1:00-2:00    Lunch


Hands-On Training Module #1 (AWS Online User Interface)

The CEOS Systems Engineering Office (SEO) team will be available

during the training period to answer questions and provide guidance


2:00 -3:30 PM   Cloud-free Mosaics

Each country group will generate a Landsat cloud-free mosaic in a small area of interest in their country using several methods (median, most recent pixel, geomedian) and compare the results in the user interface (UI) and in GIS tool (e.g. QGIS). Mosaics should be long-term (annual) and short-term (seasonal). Users can also explore false-color RGB images,-time-series animations and evaluate cloud issues in resulting mosaic products.


3:30 – 5:00 PM    Water Extent and Water Quality

Each country group will develop a Landsat water extant product (Australian WOFS algorithm) for 2000 to 2017 and evaluate areas of water change due to seasonal flooding or single flood events. Users will then create separate annual water extent products to determine when and where the extreme events occurred and try to correlate those events with known changes in rainfall (droughts or heavy rains using precipitation data).  Users will then  create a water quality product (Total Suspended Matter-TSM) over a known reservoir to determine water quality variability and to assess changes in water quality over time.

2:00-5:00 PM Special Topic: Data Cube Ingestion (Parallel Session)

Training on managing AWS instances, obtaining new data, and ingesting new data into the cube. This targeted training on data ingestion may also continue into Friday morning.

5: 00 PM   Adjourn

ARDC Workshop Agenda

Friday, May 11

9: 00 AM    Recap from Training Day #2

                   Question and Answer+Feedback

Hands-On Training Module#2 (Jupyter Python Notebooks)

Each group will use a set of Jupyter Python Notebooks to create application products and evaluate those results. This will include:

  1. Cloud-gree Mosaics and K-means Clustering: land classes, agriculture or forest mapping

  2. WOFS and TSM-water estant and quality variations in space and time

  3. Fractional Cover and Spectral Indices (NDBI І NDVI) –urbanization and vegetation

  4. PyCCD or NDVI Trend-land change, compare with Google Earth or GFW (forests)

  5. Transect Analysis-2 D and 3D plotting of bands and products

  6. Data Export-interfacing externally with QGIS and EXCEL

10:00 - 11:15 AM    Task (A)

11:15 -12:30 AM     Task (B)

12:30 - 2:00 PM       Lunch

2:00 - 3:15 PM         Task (C)

3:15 - 4:30 PM         Task (D)

4:30 - 5:00 PM         Task (E)

5:00 - 5:30 PM         Task (F)  

Informal break can be taken at any time

5:30 PM    Q&A І Wrap-up

6:00 PM    Adjourn

Strathmore University GPSDD



U.K. Rhea

Kenya Report

Senegal Report

Tanzania Report

Sierra Leone Report



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