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Product pages » Near Real-Time Burnt Area MODIS, Australian algorithm, Australia coverage

Near Real-Time Burnt Area MODIS, Australian algorithm, Australia coverage

Last modified by Stefan Maier on 2016/10/16 14:00

thumbnail-modis-nrt-ba.png

Figure 1: Caption required.

Link to the data

DescriptorData link
Persistent URLhttp://www.auscover.org.au/purl/modis-burntarea-nrt
GeoNetwork record
NetCDF, GeoTIFF, ENVI/ERM, Shapefilehttp://auscover.modis.org.au/modis-ba-latest

Data licence and Access rights

ItemDetail
RightsTo be confirmed
LicenceTo be confirmed
AccessContact auscover at maitec.com.au for data access

Alternate title

Near Real-Time MODIS Burnt Area Australia 250m.

Abstract or Summary

This product provides locations of areas affected by fire in near real-time. 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 BRDF model. Information from MODIS/Terra is usually available within 2h of the satellite overpass.

Spatial and Temporal extents

ItemDetail
Spatial resolution (degrees)0.0025°
Spatial coverage (degrees)110 to 154 E, -9 to -44 N
Temporal resolutionna
Temporal coveragelast 60 days
Sensor & platformMODIS Terra&Aqua
ItemDetail
Spatial representation typegrid
Spatial reference systemWGS 84

Point of contact

ItemDetail
NameDr Stefan W Maier
Organisation
Position
Emailauscover@maitec.com.au
Roleauthor
Address
Telephone
URL

Keywords

ThesauriKeyword
GCMDEARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > FIRE ECOLOGY > FIRE DYNAMICS
CF
FoREnvironmental Sciences > Ecological Applications = 0501

There are three main thesauri that AusCover recommends:

  1. Global Change Master Directory (http://gcmd.nasa.gov)
  2. Climate and Forecast (CF) convention standard names (http://cfconventions.org/standard-names.html).
  3. Fields of Research codes (http://www.abs.gov.au/ausstats/abs@.nsf/0/6BB427AB9696C225CA2574180004463E?opendocument).

Data quality

Rainfall events in sparsely vegetated areas cause commission errors. Additional algorithm calibration is currently being undertaken to reduce these errors. Low intensity, patchy understorey fires under dense canopies are not detected. This is a limitation of the input data used. Small fires affecting a small fraction of a sensor pixel (250mx250m) are not detected. This is a limitation of the input data used.

Validation status

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. Northern Australia: overall accuracy 95.2%, commission error 3.7%, omission error 6.2%.

Calibration and validation of the algorithm for central and southern Australia is planned for 2012/13 and 2013/14, respectively.

Related products

ItemProduct link
Burnt Area and Approximate Day of Burn - MODIS, Australian algorithm, Australia coveragehttp://data.auscover.org.au/xwiki/bin/view/Product+pages/BurntArea+DoB+MODIS

References

ItemDetail or link
PublicationMaier, S.W. (2010) Changes in surface reflectance from wildfires on the Australian continent measured by MODIS. International Journal of Remote Sensing 31, 3161-3176. http://dx.doi.org/10.1080/01431160903154408.
Validation report
Related publicationMaier, S.W. & Russell-Smith, J. (2012) Measuring and Monitoring of Contemporary Fire Regimes in Australia using Satellite Remote Sensing. Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World, CSIRO Publishing (ISBN: 9780643104822). http://www.publish.csiro.au/pid/6836.htm.

Algorithm summary

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.

Product version history

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Metadata history

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Created by Stefan Maier on 2015/12/15 23:06

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