Data

Burnt Area and Approximate Day of Burn - MODIS, Australian algorithm, Australian coverage

Terrestrial Ecosystem Research Network
Maier, Stefan
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://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/5e262fd7-261f-4c5d-81e7-fff2c6d54d32&rft.title=Burnt Area and Approximate Day of Burn - MODIS, Australian algorithm, Australian coverage&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/5e262fd7-261f-4c5d-81e7-fff2c6d54d32&rft.publisher=Terrestrial Ecosystem Research Network&rft.description=This product provides locations of areas affected by fire including the approximate day of burning. Inputs are daily day time observations from MODIS sensors on Terra and Aqua. Observations are atmospherically corrected and the resulting time series is investigated for sudden changes in reflectance, persistent over multiple days. Variations in observation and illumination geometry are taken into account through application of a kernel driven Bidirectional Reflectance Distribution Function (BRDF) model.The algorithm uses daily MODIS Terra and Aqua day time observations. Observations are atmospherically corrected and the resulting time series is investigated for sudden changes in reflectance, persistent over multiple days. Variations in observation and illumination geometry are taken into account through application of a kernel driven BRDF model.Progress Code: completedMaintenance and Update Frequency: asNeeded&rft.creator=Maier, Stefan &rft.date=2022&rft.edition=1.0.0&rft.relation=http://dx.doi.org/10.1080/01431160903154408&rft.relation=https://www.publish.csiro.au/book/6836&rft.coverage=Australia&rft.coverage=northlimit=-9; southlimit=-44; westlimit=110; eastLimit=154; projection=WGS84 (EPSG:4326)&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_rights=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&rft_rights=Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.&rft_subject=imageryBaseMapsEarthCover&rft_subject=Aqua&rft_subject=Terra&rft_subject=MODIS (Aqua)&rft_subject=MODIS (Terra)&rft_subject=fire events (Day)&rft_subject=Day&rft_subject=FIRE DYNAMICS&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=FIRE ECOLOGY&rft_subject=FIRE OCCURRENCE&rft_subject=FIRE HISTORY&rft_subject=CLIMATE INDICATORS&rft_subject=PALEOCLIMATE INDICATORS&rft_subject=LAND RECORDS&rft_subject=BURNED AREA&rft_subject=Daily - < Weekly&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=250 meters - < 500 meters&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution 4.0 International
Licence
http://creativecommons.org/licenses/by/4.0

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.
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.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

Please cite this dataset as {Author} ({PublicationYear}). {Title}.
{Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.

Access:

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unclassified

Contact Information

Street Address:
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd
QLD 4068
Australia
Ph: +61 7 3365 9097

esupport@tern.org.au

Brief description

This product provides locations of areas affected by fire including the approximate day of burning. Inputs are daily day time observations from MODIS sensors on Terra and Aqua. Observations are atmospherically corrected and the resulting time series is investigated for sudden changes in reflectance, persistent over multiple days. Variations in observation and illumination geometry are taken into account through application of a kernel driven Bidirectional Reflectance Distribution Function (BRDF) model.

Notes

Supplemental Information
Pixel value indicates the number of days since reference date 1970-01-01
Supplemental Information
Datasets are monthly, annual and composited from 2002.

Lineage

The algorithm uses daily MODIS Terra and Aqua day time observations. Observations are atmospherically corrected and the resulting time series is investigated for sudden changes in reflectance, persistent over multiple days. Variations in observation and illumination geometry are taken into account through application of a kernel driven BRDF model.

Progress Code: completed
Maintenance and Update Frequency: asNeeded

Notes

Purpose
The product consists of monthly rasters of the approximate julian day of burning within the month. Seasonality and bioregional effects are taken into account in the analysis of daily reflectance changes in the satellite data (Maier, 2010). The data can be used to estimate both area of burns (contiguous burn pixels) and time of burns (approximate day a pixel burns). Annual and all-data composites of the monthly files are also provided.
Data Quality Information

Data Quality Assessment Scope
local : dataset
This product is validated to Stage 2. Product accuracy is estimated over a significant set of locations and time periods by comparison with reference in situ or other suitable reference data. Spatial and temporal consistency of the product and with similar products has been evaluated over representative locations and time periods (Maier, 2010).

Data Quality Assessment Result
local : Quality Result
Northern Australia: overall accuracy 95.2%, commission error 3.7%, omission error 6.2%. Rainfall events in sparsely vegetated areas cause commission errors. Low intensity, patchy understorey fires under dense canopies are not detected. Small fires affecting a small fraction of a sensor pixel (250 m x 250 m) are not detected.

Created: 2018-09-30

Issued: 2022-02-21

Modified: 2020-04-21

Data time period: 2002-08-01 to 2017-02-28

This dataset is part of a larger collection

Click to explore relationships graph

154,-9 154,-44 110,-44 110,-9 154,-9

132,-26.5

text: Australia