Name Remote Sensing for Agricultural and Land Use Estimation
Source Australian Bureau of Statistics
Hyperlink to Source http://www1.unece.org/stat/platform/display/bigdata/Australia+%28ABS%29+-+Remote+Sensing+for+Agricultural+and+Land+Use+Estimation
Description Extract land use features to estimate crop yields and land cover usage. Input spatially generated features into statistical model. Input spatially generated features into statistical model. Machine learning algorithms are used for feature extraction and classification with stochastic quality measures for certainty. A geo-coded and land use coded feature set data is used as input to statistical estimation process.
Long description
Lead Institution Australian Bureau of Statistics
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Info link http://www1.unece.org/stat/platform/display/bigdata/Australia+%28ABS%29+-+Remote+Sensing+for+Agricultural+and+Land+Use+Estimation
Implementation link
Case study link
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Type Research
Potential for reuse High
Open source N/A
Open Source URL
Data Input Formats
Data Output Formats
Maintenance Requirements
Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Pilot
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Areas of technological innovation
  • Remote Sensing
  • Areas of management practice innovations
    Use of Alternative Data Sources
    Areas of institutional process innovations
    Non-Official Statistics
    Case Study URL with Public Sector Participation
    Case Study Description
    Picture describing Case Study
    Good practices displayed
    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
    Framework
    Build




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