Brief description
A package of deliverables for the Australian Research Data Commons (ARDC), Bushfire History Data Project, Work Package 5. If you require further information or access, please contact earth.observation@ga.gov.au
Outputs generated for this Project are interim and represent a snapshot of work to date, as of September 2023. Deliverables are developmental in nature and are under further advancement. Datasets or visualisations should not be treated as endorsed, authoritative, or quality assured; and should not be used for anything other than a minimal viable product, especially not for safety of life decisions. The eventual purpose of this information is for strategic decisions, rather than tactical decisions. For local data, updates and alerts, please refer to your State or Territory emergency or fire service.
The purpose of this Project (WP5) was to generate fire history products from Earth observation (EO) data available from the Landsat and Sentinel-2 satellites. WP5 aimed to implement a suite of automated EO-based algorithms currently in use by State and Territory agencies, to produce National-scale data products describing the timing, location, and extent of bushfires across Australia. WP5 outputs are published here as a “deliverable package”, listed as documents, datasets and Jupyter notebooks.
Burnt area data demonstrators were produced to a Minimum Viable Product level. Four burnt area detection methods were investigated:
* BurnCube (Geoscience Australia, ANU, (Renzullo et al. 2019)),
* Burnt Area Characteristics (Geoscience Australia, unpublished methodology),
* A version of the Victoria’s Random Forest (Victorian, Tasmanian and New South Wales Governments). Based on method as described in Collins et al. (2018), and
* Queensland’s RapidFire (Queensland Government, (Van den Berg et al. 2021). Please note that demonstrator burnt area data from the Queensland method was only investigated for the Queensland location. Data were sourced from Terrestrial Ecosystem Research Network (TERN) infrastructure, which is enabled by the Australian Government National Collaborative Research Infrastructure Strategy (NCRIS).
In addition demonstrator products that examine the use of Near Real Time satellite data to map burnt area, data quality and data uncertainty were delivered.
The algorithms were tested on several study sites:
* Eastern Victoria,
* Cooktown QLD,
* Kangaroo Island SA,
* Port Hedland WA, and
* Esperance WA.
The BurnCube (Renzullo et al. 2019) method was implemented at a national-scale using the Historic Burnt Area Processing Pipeline documented below “GA-ARDC-DataProcessingPipeline.pdf”. Continental-scale interim summary results were generated for both 2020 Calendar Year and 2020 Financial Year. Results were based upon both Landsat 8 and Sentinel-2 (combined 2a and 2b) satellite outputs, producing four separate interim products:
* Landsat 8, 2020 Calendar Year, BurnCube Summary (ga_ls8c_nbart_bc_cyear_3),
* Landsat 8, 2020 Financial Year, BurnCube Summary (ga_ls8c_nbart_bc_fyear_3),
* Sentinel 2a and 2b, 2020 Calendar Year, BurnCube Summary (ga_s2_ard_bc_cyear_3),
* Sentinel 2a and 2b, 2020 Financial Year, BurnCube Summary (ga_s2_ard_bc_fyear_3).
The other methods have sample products for the study sites, as discussed in the "lineage" section.
The Earth observation approach has several limitations, leading to errors of omission and commission (ie under estimation and over estimation of the burnt area). Omission errors can result from: lack of visibility due to clouds; small or patchy fires; rapid vegetation regrowth between fire and satellite observation; cool understorey burns being hidden by the vegetation canopy. Commission errors can result from: incorrect cloud or cloud-shadow masking; high-intensity land-use changes (such as cropping); areas of inundation. In addition cloud and shadow masking lead to differences in elapsed time between reference imagery and observations of change resulting in differences in burn area detection. For more information on data caveats please see Section 7.6 of DRAFT-ARDC-WP5-HistoricBurntArea.
The official Project title is: The Australian Research Data Commons (ARDC), Bushfire Data Challenges Program; Project Stream 1: the ARDC Bushfire History Data Project; Work Package 5 (WP5): National burnt area products analysed from Landsat and Sentinel 2 satellite imagery.
We thank the Mindaroo Foundation and ARDC for their support in this work.
Lineage
Maintenance and Update Frequency: notPlanned
Statement:
Deliverables: Datasets, data samples, webservices and Jupyter notebooks:
1. Near Real Time (NRT) deliverables:
a. User guide for NRT burnt area analysis - https://maps.dea.ga.gov.au/story/DEABurntAreaNRT.
b. Jupyter notebook for NRT analysis- https://www.dea.ga.gov.au/products/dea-bushfire-burnt-area-near-real-time-services.
2. BurnCube burnt area deliverables:
a. National scale burnt area BurnCube demonstrator datasets - interim data available through AWS S3 Storage and WMS http://dea-public-data-dev.s3-website-ap-southeast-2.amazonaws.com/?prefix=projects/burn_cube/derivative/, https://ows.dev.dea.ga.gov.au/.
b. BurnCube processing Jupyter notebook - https://github.com/GeoscienceAustralia/burn-mapping/blob/develop/ardc_historic_burn/DEA_Burn_Cube_method.ipynb.
BurnCube analysis Jupyter notebook - https://github.com/GeoscienceAustralia/burn-mapping/blob/develop/ardc_historic_burn/DEA_Burn_Cube_animation.ipynb
3. Burnt Area Characteristic (BAC) burnt area deliverables:
a. Small scale burnt area demonstrator datasets - data available through AWS S3 Storage http://dea-public-data-dev.s3-website-ap-southeast-2.amazonaws.com/?prefix=projects/burn_cube/derivative/ga_BAC/.
b. BAC processing Jupyter notebook - https://github.com/GeoscienceAustralia/burn-mapping/blob/develop/ardc_historic_burn/DEA_BAC_method.ipynb.
4. Victorian Random Forest Burnt Area Identification Method (Vic RF), DEA version, burnt area deliverables:
a. Small scale burnt area demonstrator datasets - data available through AWS S3 Storage http://dea-public-data-dev.s3-website-ap-southeast-2.amazonaws.com/?prefix=projects/burn_cube/derivative/ga_rf/ .
b. Vic RF processing Jupyter notebook – https://github.com/GeoscienceAustralia/burn-mapping/blob/develop/ardc_historic_burn/DEA_RF_method.ipynb.
5. Quantitative comparative assessment of burnt area method deliverables:
a. Validation process Jupyter notebook - https://github.com/GeoscienceAustralia/burn-mapping/tree/develop/ardc_historic_burn/.
b. Proof of concept confidence and uncertainty Jupyter notebook- - https://github.com/GeoscienceAustralia/burn-mapping/blob/develop/ardc_historic_burn/DEA_burnt_area_uncertainty_prototype.ipynb.
Please note data samples are provided in the reference system EPSG:3577
For Deliverables: Documents, please see "Purpose"
Notes
PurposeCollation of outputs produced for Work Package 5 of the ARDC Bushfire Data Challenge Program as a delivery package. Outputs generated for this Project are interim and represent a snapshot of work to date, as of September 2023. Deliverables are developmental in nature and are under further advancement. These data products are not operational and are only provided as a proof of concept. HPE record numbers (for internal Geoscience Australia access) and current web based links are provided below. If you require further information or access to documentation, please contact earth.observation@ga.gov.au. Deliverables: Documents: * 1.GA-ARDC-WP5-Deliverables.pdf A document listing the main deliverables of the Project and their association to milestones. 2023/966/D2023-66108 * 2.DRAFT-ARDC-WP5-HistoricBurntArea.pdf The primary report and deliverable for the historic burnt area component (Milestone 8) of the Project. The document provides an overview of work and analysis and discussion of historic burnt area results. 2023/966/D2023-66109 * 2b.Appendix_B.pdf An appendix showing additional results mentioned in the above report: “DRAFT-ARDC-WP5-HistoricBurntArea.pdf” 2023/966/D2023-66110 * 3.GA-ARDC-DataProcessingPipeline A document containing information on the data processing pipeline created for this Project and how to use it. 2023/966/D2023-66111 * 4.GA-ARDC-WP5-ApproachReportFinal.pdf A report that discusses initial goals for the Project and future related projects, assessing the available products and the needs of users at the beginning of the Project. Deliverable (Milestone 6) revised with addendum below: “202305-GA-ARDC-WP5-ApproachDeliverables.pdf" 2023/966/D2023-66112 * 5.202305-GA-ARDC-WP5-ApproachDeliverables.pdf Addendum to the report “4.GA-ARDC-WP5-ApproachReportFinal.Pdf” detailing the deliverables that would be produced for this Project. 2023/966/D2023-66113 * For Deliverables: Datasets, data samples, web services and Jupyter Notebooks, see "Lineage".
Issued: 18 12 2023
Data time period: 2019-07-01 to 2020-12-31
text: westlimit=112; southlimit=-44; eastlimit=154; northlimit=-9; projection=GDA94 / geographic 2D (EPSG: 4283)
Subjects
Bushfire |
DEA |
Digital Earth Australia |
ENVIRONMENTAL SCIENCES |
HUMAN GEOGRAPHY |
OTHER EARTH SCIENCES |
Published_External |
Sentinel |
burn history |
burnt area |
burnt area history |
bushfire |
bushfire history |
earth observation |
geoscientificInformation |
landsat |
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Other Information
Download Deliverables document (pdf) [203.4 KB]
uri :
https://d28rz98at9flks.cloudfront.net/149057/1.GA-ARDC-WP5-Deliverables_149057_00_0.pdf
Download Bushfire History Report (pdf) (4.2 MB]
uri :
https://d28rz98at9flks.cloudfront.net/149057/2.DRAFT-ARDC-WP5-HistoicBurntArea_149057_01_0.pdf
Download Appendix B additional results (pdf) [2.0 MB]
uri :
https://d28rz98at9flks.cloudfront.net/149057/2b.Appendix_B_149057_02_0.pdf
Download Data Processing Pipeline Report (pdf) [2.2 MB]
uri :
https://d28rz98at9flks.cloudfront.net/149057/3.GA-ARDC-DataProcessingPipeline_149057_03_0.pdf
Download Approach Report (pdf) [1.4 MB]
uri :
https://d28rz98at9flks.cloudfront.net/149057/4.GA-ARDC-WP5-ApproachReportFinal_149057_04_0.pdf
Download Approach Report addendum (pdf) [616.3 KB]
Identifiers
- DOI : 10.26186/149057
- URI : pid.geoscience.gov.au/dataset/ga/149057
- global : 0303294e-02d1-43bf-a43c-36519c2e4b49
