ARDC Tanzania Workshop #2
November 27-29, 2018
This is an online training session for the larger African Regional Data Cube (ARDC) Tanzania team. The focus of the session was an introduction to the Open Data Cube and a demo of the online Open Data Cube user interface tool and Jupyter Notebooks. The session also included detailed discussions of Tanzania use-cases and application needs including deforestation, urbanization, and land degradation.
Day 1: November 27, 2018
An introduction to the Africa Regional Data Cube (ARDC) and the Web-based User Interface:
Data Cube Introduction and Summary of Products
User Interface Demo
Training Video: https://youtu.be/S0_bFx7Oc20
Day 2: November 28, 2018
An In-Depth Review of the Africa Regional Data Cube User Interface:
User Interface Demo – Cloud-Free Mosaics
User Interface Demo – Vegetation Indices
Training Video: https://youtu.be/YDRn60328YA
Day 3: November 29, 2018
An introduction to Jupyter Python Notebooks:
Python Notebook Demo – Deforestation and Land Change
Python Notebook Demo – Urbanization
Training Video: https://youtu.be/STwunfICDxo
Training & Reference Materials
Training workshop participants
Recorded training sessions below - Presenter: Dr. Brian Killough (NASA / CEOS SEO)
Google Doc Address for Questions and Answers during the training
Time difference: +7 hours (USA East to Tanzania)
Tuesday, October 9 (2 hours)
Online User Interface Introduction
Jupyter Notebook Introduction
October 9th, 2018
This is an online training session captured with Go-To-Meeting. The focus of the session was an introduction to the Open Data Cube and a demo of the online open data cube user interface tool. The session also included detailed discussions of Tanzania use-cases and application needs.
Visit the online User Interface. Create a SMALL cloud-free mosaic. Identify an area of water and create a water detection (WOFS) time series result. Use the "pixel tool" to review the data for a specific location.
Wednesday, October 10 (4 hours)
User Interface Examples (Mosaics, Water, Indices)
Create copies of the Cloud Statistics and Mosaic notebooks. Identify a SMALL region of interest. Analyze the cloud statistics and find a good year with plenty of clear data. Create a cloud-free mosaic for one year and output the result in a GeoTIFF. If you have QGIS, view the GeoTIFF output file.
Wednesday, October 11 (4 hours)
Notebooks: Water Extent
Notebooks: Spectral Indices (Agriculture, NDVI phenology)
Create copies of any notebooks and run 1 or 2 case studies. Use SMALL areas to lower the execution times. In the case of water, can you identify and areas of concern or flood risk that might be investigated further? In the case of agriculture, can you identify any variations in crop phenology or spectral indices for different types of crops?
Friday, October 12 (4 hours)
Notebooks: Land Change (NDVI anomaly, PyCCD)
Notebooks: Tanzania Use-Cases