Data

Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v04

data.gov.au
Bioregional Assessment Program (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/0135f449-e1a3-4efc-a367-77980f224b52&rft.title=Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v04&rft.identifier=1f04a73a-ac3c-479c-80e4-ff381ee57420&rft.publisher=data.gov.au&rft.description=Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v04 - Data File## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nThis is an update to version 2 of the dataset. Landscape Groups (lc_group) were added to the dataset as per product 2.3 Conceptual modelling for the MaranoaBalonne-Condamine subregion. Unique landscape class identifiers (lc_id) were also added. It is also an update to version 3 and has had the following updates (1) some features that were missing attributes (lc_class and lc_group and lc_id attributes) have been updated, and (2) the Z and M values have been removed\n\n\n\nThe landscape classification of the Maranoa-Balonne-Condamine (MBC) subregion is outlined in the associated report on Conceptual Modelling in section 2.3.3.1 (Landscape classification methodology). This spatial dataset is derived from several other data layers associated with: Queensland remnant vegetation, Queensland wetlands, Queensland groundwater dependent ecosystems, Queensland springs, Geofabric stream network and Australian land use mapping. \n\n\n\nClassification of these existing datasets using explicit rule sets (see MBC 2.3.3.1) resulted in 24 landscape classes that cover the entire MBC subregion.\n\n## **Dataset History** \n\nThis is an updated version of version 3 of the dataset (http://data.bioregionalassessments.gov.au/dataset/126d4638-20d8-4300-b29f-aecef06b260c).The full details of the methodology and source datasets for this resource is given in the MBC 2.3 Conceptual Modelling product (section 2.3.3.1).\n\n\n\nUpdates:\n\n1.\tAll the features missing lc_class and lc_group and lc_id attributes have been updated\n\n2.\tThe Z and M values have been removed\n\n3.\tCounts and areas of the features have been checked against the previous versions of the landscape class datasets to confirm that all features have come through intact to the updated data set.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v04. Bioregional Assessment Derived Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/1f04a73a-ac3c-479c-80e4-ff381ee57420.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Queensland groundwater dependent ecosystems](https://data.gov.au/data/dataset/075cdc0a-382e-4040-9a70-fcd85a2da5d5)\n\n* **Derived From** [Queensland wetland data version 3 - wetland areas.](https://data.gov.au/data/dataset/2a187a00-b01e-4097-9ca4-c9683e7f4786)\n\n* **Derived From** [Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v02](https://data.gov.au/data/dataset/3bf1f159-8db0-404a-be47-1dbd6282ee54)\n\n* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)\n\n* **Derived From** [Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v03](https://data.gov.au/data/dataset/126d4638-20d8-4300-b29f-aecef06b260c)\n\n* **Derived From** [Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)\n\n* **Derived From** [Spring vents assessed for the Surat Underground Water Impact Report 2012](https://data.gov.au/data/dataset/6d2b59fc-e312-4c89-9f10-e1f1b20a7a6d)\n\n* **Derived From** [Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld](https://data.gov.au/data/dataset/9b7bcebf-8b7f-4fb4-bc91-d39f1bd960cb)\n\n&rft.creator=Bioregional Assessment Program&rft.date=2022&rft.coverage=POLYGON ((152.5107 -29.29293, 152.5107 -24.45527, 147.5099 -24.45527, 147.5099 -29.29293, 152.5107 -29.29293))&rft_rights=Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (Bioregional Assessment Programme http://www.bioregionalassessments.gov.au), (c) Commonwealth of Australia (Bureau of Meteorology) 2012, (c) Commonwealth of Australia 2014, (c) State of Queensland (Department of Science, Information Technology, Innovation and the Arts) 2014, (c) State of Queensland 2014, (c) State of Queensland (Office of Groundwater Impact Assessment)&rft_subject=Maranoa-Balonne-Condamine subregion&rft_subject=environment&rft_subject=imageryBaseMapsEarthCover&rft_subject=planningCadastre&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International, Http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (bioregional Assessment Programme Http://www.bioregionalassessments.gov.au), (c) Commonwealth of Australia (bureau of Meteorology) 2012, (c) Commonwealth of Australia 2014, (c) State of Queensland (department of Science, Information Technology, Innovation and the Arts) 2014, (c) State of Queensland 2014, (c) State of Queensland (office of Groundwater Impact Assessment)

Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/, (c) Commonwealth of Australia (Bioregional Assessment Programme http://www.bioregionalassessments.gov.au), (c) Commonwealth of Australia (Bureau of Meteorology) 2012, (c) Commonwealth of Australia 2014, (c) State of Queensland (Department of Science, Information Technology, Innovation and the Arts) 2014, (c) State of Queensland 2014, (c) State of Queensland (Office of Groundwater Impact Assessment)

Brief description

## **Abstract**

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.



This is an update to version 2 of the dataset. Landscape Groups (lc_group) were added to the dataset as per product 2.3 Conceptual modelling for the MaranoaBalonne-Condamine subregion. Unique landscape class identifiers (lc_id) were also added. It is also an update to version 3 and has had the following updates (1) some features that were missing attributes (lc_class and lc_group and lc_id attributes) have been updated, and (2) the Z and M values have been removed



The landscape classification of the Maranoa-Balonne-Condamine (MBC) subregion is outlined in the associated report on Conceptual Modelling in section 2.3.3.1 (Landscape classification methodology). This spatial dataset is derived from several other data layers associated with: Queensland remnant vegetation, Queensland wetlands, Queensland groundwater dependent ecosystems, Queensland springs, Geofabric stream network and Australian land use mapping.



Classification of these existing datasets using explicit rule sets (see MBC 2.3.3.1) resulted in 24 landscape classes that cover the entire MBC subregion.

## **Dataset History**

This is an updated version of version 3 of the dataset (http://data.bioregionalassessments.gov.au/dataset/126d4638-20d8-4300-b29f-aecef06b260c).The full details of the methodology and source datasets for this resource is given in the MBC 2.3 Conceptual Modelling product (section 2.3.3.1).



Updates:

1.\tAll the features missing lc_class and lc_group and lc_id attributes have been updated

2.\tThe Z and M values have been removed

3.\tCounts and areas of the features have been checked against the previous versions of the landscape class datasets to confirm that all features have come through intact to the updated data set.

## **Dataset Citation**

Bioregional Assessment Programme (2016) Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v04. Bioregional Assessment Derived Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/1f04a73a-ac3c-479c-80e4-ff381ee57420.

## **Dataset Ancestors**

* **Derived From** [Queensland groundwater dependent ecosystems](https://data.gov.au/data/dataset/075cdc0a-382e-4040-9a70-fcd85a2da5d5)

* **Derived From** [Queensland wetland data version 3 - wetland areas.](https://data.gov.au/data/dataset/2a187a00-b01e-4097-9ca4-c9683e7f4786)

* **Derived From** [Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v02](https://data.gov.au/data/dataset/3bf1f159-8db0-404a-be47-1dbd6282ee54)

* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)

* **Derived From** [Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v03](https://data.gov.au/data/dataset/126d4638-20d8-4300-b29f-aecef06b260c)

* **Derived From** [Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)

* **Derived From** [Spring vents assessed for the Surat Underground Water Impact Report 2012](https://data.gov.au/data/dataset/6d2b59fc-e312-4c89-9f10-e1f1b20a7a6d)

* **Derived From** [Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld](https://data.gov.au/data/dataset/9b7bcebf-8b7f-4fb4-bc91-d39f1bd960cb)

Full description

Landscape classification of the Maranoa-Balonne-Condamine preliminary assessment extent v04 - Data File

This dataset is part of a larger collection

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Spatial Coverage And Location

text: POLYGON ((152.5107 -29.29293, 152.5107 -24.45527, 147.5099 -24.45527, 147.5099 -29.29293, 152.5107 -29.29293))

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Identifiers
ACN 633 798 857