1. Open Data Cube Demo and FDA Interfaces
Brian Killough
NASA Langley Research Center CEOS Systems Engineering Office (SEO)
WGISS-47 Meeting
April 29, 2019

2. What is the Open Data Cube (ODC)? Satellite Analysis-Ready Data
Open Data Cube Infrastructure Data Cube Core Code, API and Database
Applications and Tools Application Library User Interface

3. More ODC Details ODC = Open Data Cube (www.opendatacube.org)
Started by several “ODC Partner” organizations in Jan 2017 as an open source data management solution with a community of contributors and users.
The “ODC Partners” are ... GA, CSIRO, NASA-SEO, USGS, and UK-Catapult. They meet monthly (via telecon) and have a detailed work plan.
The “ODC Steering Council” manages the technical development and open source code repository (
CEOS Data Cube
An ”extension” of the ODC goals to demonstrate data cubes around the world and maximize the impact of CEOS satellite data with a focus on developing countries
Focused on ARD, user needs, and global capacity building
9 operational country cubes, 14 under development, and 33 more under review. Lots of data cube activity!

4. Africa Regional Data Cube (ARDC)
Launched in May 2018 for 5 countries (Kenya, Tanzania, Sierra Leone, Senegal, Ghana). Initially based on Landsat, but S1, S2 and ALOS data are coming soon!
Supported by CEOS (lead + technical support), Amazon (donated cloud services) and GPSDD (training + management support).
Multiple instances of web-based remote training and face-to-face in-country training since the launch
Initial country use-cases include agriculture, flooding, urbanization, deforestation and illegal mining.
ARDC plans to transition to Digital Earth Africa in late 2019.

5. What are the ODC connections to WGISS and FDA?
Based on Open Source Software
Promoting the use of CEOS Analysis Ready Data for Land (CARD4L)
Many implementations use cloud-based architectures (e.g. Amazon AWS)
Sharing of algorithms through the use of Jupyter Notebooks

6. How can we use the Open Data Cube?
Cloud-free Mosaics: Recent Pixel, Median, Geomedian, Max-NDVI
Spectral Indices: NDVI, NDBI, NDSI, NDWI, SAVI, EVI, Fractional Cover
Land Classification: K-Means, Random Forest, FAO 8-class decision tree
Water: Landsat WOFS (Australia), Sentinel-1 WASARD (NASA), Landsat Water Quality (Australia) - Total Suspended Matter
Land Change: Spectral Threshold Anomaly, Coastal Change, PyCCD (USGS)

7. Water Extent Mtera Reservoir in Tanzania
This product is a 17-year time series (1999 thru 2016) showing the % time that every pixel has observed water.

8. Water Quality Lake Manyara in Tanzania Feb 2013 to Dec 2016
Total Suspended Matter (TSM)
Maximum
Variability

9. Coastal Change
Fadioth, Senegal
2000 to 2015

10. Urbanization
2001
2017
Urbanization in Dar es Salaam, Tanzania – 2001 to 2017 (16 years)
Urban Area Growth = 7% per year (Fractional Cover BS, 0.4 threshold) Population Growth = 5 % per year (reference: web sources)

11. Land Change Mau Forest in western Kenya
Results from Data Cube (left) closely compare well with the
Global Forest Watch product (right).
Using an EVI threshold approach, there is a loss of 5.7% of the land to devegetation (likely deforestation) from 2002 to 2017.

12. Web-based User Interface
16 sample data cubes + 10 common applications
Free and Open, easy-to-use, menu-driven, GIS tool
Applications focused on Landsat data
GeoTIFF outputs, animations, pixel drill

13. Jupyter Python Notebook Hub
There are 6 core notebooks (cloud statistics, custom mosaics, water extent, spectral products, land change, vegetation phenology) with You-Tube videos ( Many more algorithms are under development and testing.