Jump to content

Australian Geoscience Data Cube

Add links
From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Steven Ackerly (talk | contribs) at 07:23, 14 March 2017 (←Created page with 'The Australian Geoscience Data Cube ('''AGDC''') is an approach to storing, processing and analyzing large collections of earth observation data. The technology...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)

The Australian Geoscience Data Cube (AGDC) is an approach to storing, processing and analyzing large collections of earth observation data. The technology is designed to meet challenges of national interest by being agile and flexible with vast amounts of layered grid data.

The AGDC reduces processing time of traditional image analysis by calibrating, pre-computing known extents, pixel alignment and storing metadata in a cell lattice structure. The temporal-pixel aligned data can often be analysed faster across space and time dimensions than previous scene based techniques. This allows the AGDC to be flexible in tackling future challenges and improve analysis times on every-increasing data repositories of earth observation.

The AGDC has also been used internationally [1] to allow countries to maintain ecologically sustainable programs and reduce the difficultly curve of utilizing remote sensed data [2].

Background

The AGDC was originally conceived by Geoscience Australia but is now maintained in a partnership between Geoscience Australia, Commonwealth Scientific and Industrial Research Organisation (CSIRO) and National Computational Infrastructure National Facility (Australia) (NCI). This is made possible by the funding from the partnership and a number of organisations such as National Collaborative Research Infrastructure Strategy (NCRIS) [3].

Analysis Ready Data, Ingestion and Indexing

The data processed in the cube is made analysis ready [4] before being ingested and indexed into the AGDC. Analysis ready data is pre-processed data that has applied corrections for instrument calibration (gains and offsets), geolocation (spatial alignment) and radiometry (solar illumination, incidence angle, topography, atmospheric interference). Ingest manages the translation of datasets into the storage units while maintaining a database index. The data within the storage and index can be accessed via API calls often compiled within code such as Python (programming language).

Example

s2a_l1c = dc.load(product='s2a_level1c_granule',x=(147.36, 147.41), y=(-35.1, -35.15), measurements=['04','03','02'], output_crs='EPSG:4326', resolution=(-0.00025,0.00025))

Datasets currently stored

  • Geoscience Australia Landsat Surface Reflectance (1987 to present)
  • Landsat Pixel Quality
  • Landsat Fractional Cover
  • Landsat NDVI

Datasets that have been piloted

  • USGS Landsat Surface Reflectance
  • SRTM DEM
  • Himawari 8
  • MODIS
  • Sentinel-2 L1C / S2A
  • Australian Gridded Climate Data

Challenges of the AGDC

The AGDC is designed to meet the following challenges.

  • Sustainability
  • Environment
  • Water resource management
  • Disaster assist
  • Policy development
  • Community planning
  • Forest preservation
  • Carbon measurement

International Awards

The AGDC won [5] the 2016 Content Platform of the Year award from Geospatial World Forum [6].

References

  1. ^ http://ceos.org/
  2. ^ https://software.nasa.gov/featuredsoftware/ceos2
  3. ^ https://www.education.gov.au/national-collaborative-research-infrastructure-strategy-ncris
  4. ^ http://www.datacube.org.au/wiki/Category:Analysis_Ready_Data
  5. ^ http://www.ga.gov.au/news-events/news/latest-news/australian-geoscience-data-cube-innovation-recognised-on-world-stage
  6. ^ http://geospatialworldforum.org/
Retrieved from "https://en.wikipedia.org/w/index.php?title=Australian_Geoscience_Data_Cube&oldid=770239559"