Brigalow Belt Bioregion Spatial BioCondition, 2021, Version 2.0
This is a spatial dataset comprising predictions of vegetation condition for biodiversity for the Brigalow Belt bioregion. The dataset was created using a gradient boosting decision tree (GBDT) model based on 10 vegetation-specific remote sensing datasets and 7,938 training sites of known vegetation community and condition state across Southeast Queensland, Brigalow Belt and Central Queensland Coast bioregions. Condition score was modelled as a function of distance in the remote sensing (RS) space within homogeneous vegetation communities. The product is intended to represent predicted BioCondition for 2021 rather than any singe date.
Simple
Identification info
- Date (Creation)
- 2024-09-13
- Date (Publication)
- 2024-09-16
- Date (Revision)
- 2024-09-23
- Edition
- 2.0
Identifier
Publisher
Owner
Department of Environment, Science and Innovation, Queensland Government
41 Boggo Road, Dutton Park, 4102, Queensland, Australia
Dutton Park
Queensland
4102
Australia
Author
Queensland Herbarium - Verrall, Brodie ()
Brisbane Botanic Gardens, Mt Coot-tha Road, Toowong, Queensland, 4066, Australia
Toowong
Queensland
4066
Australia
Co-author
Joint Remote Sensing Research Program - Hardtke, Leonardo ()
Chancellors Place, St Lucia, Queensland, 4072, Australia
St Lucia
Queensland
4072
Australia
- Website
- https://www.tern.org.au/
- Purpose
- Spatial BioCondition (SBC) is a mapping framework that aligns with Queensland’s Regional Ecosystem (RE) and BioCondition frameworks, as it integrates site-based vegetation condition assessment methods and remote sensing (RS) to provide predictions of the condition of vegetation for biodiversity across most terrestrial ecosystems of a bioregion. There is an increasing requirement for new vegetation information to support current and emergent drivers in natural resource management. The SBC framework has been developed to support reforms to the Queensland Vegetation Management Act 1999 that aim to provide more holistic reporting on vegetation extent and condition in Queensland. Following version 1.0, this version predicts the condition of vegetation for biodiversity in 2021 for the Brigalow Belt bioregion.
- Credit
- We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
- Status
- Completed
Point of contact
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
80 Meiers Road
Indooroopilly
Queensland
4068
Australia
Point of contact
Queensland Herbarium - Verrall, Brodie ()
Brisbane Botanic Gardens, Mt Coot-tha Road, Toowong, Queensland, 4066, Australia
Brisbane Botanic Gardens, Mt Coot-tha Road
Toowong
Queensland
4066
Australia
Point of contact
Queensland Herbarium - Eyre, Teresa ()
Brisbane Botanic Gardens, Mt Coot-tha Road, Toowong, Queensland, 4066, Australia
Brisbane Botanic Gardens, Mt Coot-tha Road
Toowong
Queensland
4066
Australia
Point of contact
Department of Environment, Science and Innovation, Queensland Government - Tindall, Dan ()
41 Boggo Road, Dutton Park, 4102, Queensland, Australia
41 Boggo Road
Dutton Park
Queensland
4102
Australia
Point of contact
Queensland Herbarium - Neldner, Victor ()
Brisbane Botanic Gardens, Mt Coot-tha Road, Toowong, Queensland, 4066, Australia
Brisbane Botanic Gardens, Mt Coot-tha Road
Toowong
Queensland
4066
Australia
- Topic category
-
- Environment
- Imagery base maps earth cover
Extent
- Description
- Brigalow Belt Bioregion
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W
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Temporal extent
- Time period
- 2021-01-01 2021-12-31
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
Resource constraints
- Use limitation
- The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
- TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure. <br />Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- Distribution format
-
- OnLine resource
- Cloud Optimised GeoTIFF - Spatial BioCondition 2021, BRB. v2
- OnLine resource
- Landscape Data Visualiser - Spatial BioCondition 2021, BRB. v2
- OnLine resource
- Factsheet - Spatial BioCondition 2021, v2
- OnLine resource
-
Spatial BioCondition 2021, BRB. v2
SBC_BRB
- OnLine resource
- ro-crate-metadata.json
Data quality info
- Hierarchy level
- Dataset
- Other
- Predicted Spatial BioCondition scores are validated against 270 independent field observations of BioCondition that are scored against Regional Ecosystem specific benchmarks. Stratified randomised sampling was used to ensure geographic spread of field sites as well as evenly distributed validation of predicted Spatial BioCondition condition scores.
Report
Result
- Statement
- Based on 270 independent field observations collected between 2022 and 2024, predicted Spatial BioCondition scores had a Mean Absolute Error (MAE) of 13.4 and an R squared of 0.70. The estimated rate of error for predicted BioCondition scores is lowest at high and low scores (<40 and <60) and has higher estimated error for mid-range scores.
Resource lineage
- Statement
- The Spatial BioCondition (SBC) 2021 version 2.0 dataset was produced by the Queensland Herbarium and Biodiversity Science and the Remote Sensing Sciences business units in the Queensland Department of Environment, Science and Innovation. <br><br> The pixel values in SBC dataset represent the predicted condition of vegetation for biodiversity in 2021. The range is 0-100, where lower values indicate poorer condition. No Data is represented by a value of 255. <br><br> No Data include areas where: <br> a. Regional Ecosystems with insufficient training and reference data to apply the framework;<br> b. Marine, intertidal, native grassland, sedgeland, forbland and predominantly unvegetated ecosystems defined in RE preclearing; <br> c. Urban, suburban, commercial, and industrial areas including intensive use lakes, estuaries, canals, dams and reservoirs as defined by Queensland Land Use Mapping dataset (https://qldspatial.information.qld.gov.au/catalogue/custom/detail.page?fid={BE30CE16-B1B9-48B1-BF21-DBE70597FA93})<br><br> Condition of vegetation for biodiversity may be influenced by agricultural practices, grazing land management, fire regimes and wildfire, urban development, incursion of invasive species, industrial logging, and mining. Queensland has a site-based vegetation condition assessment framework ‘BioCondition’, which assesses the relative capacity of an ecosystem to support the suite of species expected to occur in its relatively undisturbed (reference) state. This is measured using a suite of compositional, structural, and functional vegetation attributes which are compared against a reference. The greater the difference from the reference state the worse the condition. The reference state characteristics (the benchmark) are derived from a set of sites in the same vegetation community known to be in the best available condition. <br><br> SBC moves the assessment of vegetation condition for biodiversity from a site-based approach to a predictive modelling approach that can be applied at the regional or state scale. It is based on the premise that the greater the difference (measured as distance in multi-dimensional remote sensing space) from the reference, the worse the condition. The model is developed using the remote sensing datasets as predictor variables and training sites with known RE and condition state as the response variable. The resulting model is applied to all vegetated areas with sufficient training and reference data to produce predictions of condition. <br><br> The dataset comprises three bands. Band 2 is the predicted BioCondition score 0-100, with higher values representing better vegetation condition for biodiversity. Bands 1 and 3 show the lower and upper boundary of the 90% prediction interval, respectively. This prediction interval provides a likely range in which the true value of the prediction will be.
- Hierarchy level
- Dataset
- Title
- Department of Environment and Science (2021) Spatial BioCondition: Vegetation condition map for Queensland. Queensland Government, Brisbane.
- Website
-
https://www.qld.gov.au/__data/assets/pdf_file/0015/230019/spatial-biocondition-vegetation-condition-map-for-queensland.pdf
Method documentation
- Title
- State of Queensland. Spatial BioCondition website.
- Website
-
https://www.qld.gov.au/environment/plants-animals/biodiversity/biocondition
Method documentation
- Title
- State of Queensland (Department of Environment and Science), (2023). Land use mapping series.
- Website
-
https://qldspatial.information.qld.gov.au/catalogue/custom/detail.page?fid={BE30CE16-B1B9-48B1-BF21-DBE70597FA93}
Method documentation
Process step
- Description
- This dataset was created using the Spatial BioCondition modelling workflow. The model uses the following datasets: Sentinel 2 based green and bare fractional cover statistics (2019-2021); Landsat-derived fractional cover for the 2021 dry season; Sentinel 2 NDVI-derived phenological metrics; Landsat- and GEDI-derived canopy height (2019); Regional ecosystem pre-clearing dataset - version 13.0; and selected vegetation field survey data held in departmental databases
Process step
- Description
- The final model output was clipped to the Brigalow Belt biogeographic bioregion boundary, and the following areas were masked: the pre-clearing extent of natural grasslands, sedgelands and forblands; predominantly unvegetated ecosystems; and regional ecosystems extra to the Brigalow Belt, Central Queensland Coast and Southeast Queensland bioregions defined by version 13.0 regional ecosystem mapping; built environments and infrastructure (urban, suburban, commercial and industrial areas including intensive use lakes, estuaries, canals, dams and reservoirs) defined by Queensland Land Use Mapping dataset (https://qldspatial.information.qld.gov.au/catalogue/custom/detail.page?fid={BE30CE16-B1B9-48B1-BF21-DBE70597FA93})
Process step
- Description
- Masked areas, pixels without predictions, and pixels outside the bioregion are classified as No Data (DN = 255). Band 1 is the 5th percentile of the prediction interval, Band 2 is the predicted Spatial BioCondition score and Band 3 is the 95th percentile of the prediction interval.
Reference System Information
- Reference system identifier
- EPSG/EPSG:3577
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/00c71743-dcc0-471f-b56e-f61a06961f48
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
- Title
- Queensland Spatial BioCondition Data Collection
Identifier
- Codespace
- https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/
- Description
- Parent Metadata Record
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/00c71743-dcc0-471f-b56e-f61a06961f48
Point-of-truth metadata URL
- Date info (Creation)
- 2024-08-30T00:00:00
- Date info (Revision)
- 2024-09-23T00:00:00
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0
Identifier
Overviews
thumbnail
Spatial extent
N
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E
W
Provided by
Associated resources
Not available