Australian Bureau of Statistics
Contact person for this case study
+61 3 6222 5945
|Type of Big Data used|
Extract land use features to estimate crop yields and land cover usage. Input spatially generated features into statistical model.
|National or international scope of data source|
|Data access framework|
Memorandum of Understanding required to obtain image data at required granularity.
|Payment for data|
The raw data are accessed and processed outside the statistical organization's computing environment (e.g. within the supplier's systems, or in "the cloud"
Joint research with university collaborator ro develop image analysis algorthims to extract spatial land use features sets.
|Domain and use|
Agriculture, forestry, fisheries
|Degree of progress in use of the Big Data source|
|Tools and methods for processing|
Machine learning algorthms used for feature extraction and classification with stochastic quality measures for certainty. Possible use of spatial and time series models. Java-based implementation. Geo-coded and land use coded feature set data used as input to statistical estimation process.
|Privacy and confidentiality issues|
Strict adherence to ABS legislation and Australian Privacy Legislation.
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