Landcover mosaic series

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Description

The Statewide Landcover and Trees Study (SLATS) landcover mapping involves several stages of automated and semi-automated image classification techniques, together with visual interpretation. Water, bare ground and shadow (unclassified) masks are created for each scene using spectral classification and visual interpretation.

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General Information

• This data is described at

  https://data.qld.gov.au/dataset/landcover-mosaic-series Do you think this data is incorrect? Let us know

• This data is published by

  Science, Information Technology and Innovation (abolished Dec 2017) Do you think this data is incorrect? Let us know

• The data is published on

  https://data.qld.gov.au/ Do you think this data is incorrect? Let us know

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Legal Information

• This data was

  originally created or generated by its curator Do you think this data is incorrect? Let us know

• The rights statement is at

  https://data.qld.gov.au/dataset/landcover-mosaic-series Do you think this data is incorrect? Let us know

• There are

  yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know

• The content is available under

  Creative Commons Attribution Do you think this data is incorrect? Let us know

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  its data licence Do you think this data is incorrect? Let us know

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Practical Information

• The website links to the data from

  https://data.qld.gov.au/ Do you think this data is incorrect? Let us know

• The data appears in this collection

  https://data.qld.gov.au/publisher/science-information-technology-and-innovation Do you think this data is incorrect? Let us know

• The accuracy or relevance of this data will

  go out of date but it is timestamped Do you think this data is incorrect? Let us know

• The data is

  backed up offsite Do you think this data is incorrect? Let us know

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• Find out how to contact someone about this data at

  https://data.qld.gov.au/dataset/landcover-mosaic-series Do you think this data is incorrect? Let us know

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