Fire is not fire: the next generation of TERN fire remote sensing datasets
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Stefan Maier's Bushfire16 presentation on TERN suite of remote sensing datasets that are invaluable resources for fire researchers and managers alike.
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Fire is not fire: the next generation of TERN fire remote sensing datasets
- 1. Fire is not Fire The next generation of TERN fire remote sensing datasets Presentation by Stefan W Maier (Darwin Node Leader TERN/AusCover)
- 2. Continental coverage Spatial resolution 500m Temporal resolution 8 days 4 algorithms (+1 for Victoria)# 2000 - now Grassland Curing # Martin et al. (2015) Integrating ground and satellite-based observations to determine the degree of grassland curing International Journal of Wildland Fire 24, 329-339
- 3. Resolution: 1x1km2 (NADIR), 5x2km2 (edge of swath) Sub-pixel fires get detected, ideal conditions 80-100m2 # Sensitivity depends on view angle# Approx. 4 observations per day, cloud permitting (more for higher latitudes, less closer to equator) 2000 (2002) - now Fire Radiative Power included as attribute (≠ fire line intensity!) Thermal Anomalies (Active Fire Detection) # Maier et al. (2013) Sensitivity of the MODIS fire detection algorithm (MOD14) in the savanna region of the Northern Territory, Australia ISPRS Journal of Photogrammetry and Remote Sensing 76, 11-16
- 4. Global product generated by NASA, TERN/AusCover reproject & mosaic Spatial resolution 500m Monthly composites Two algorithms (MCD45, MCD64) 2000 (2002) – now Three month latency Burnt Area (NASA)
- 5. Continental coverage Spatial resolution 250m Approx. 2 observations per day Australian algorithm Monthly composites Available 15th of following month 2002 – now Shapefile, GeoTIFF, ERM, ENVI Burnt Area and Approximate Day of Burn
- 6. Burnt Area and Approximate Day of Burn fire stopped by creek fire jumped creek fire jumped creek daily progression of fire
- 8. Continental coverage Number of fires 1997 – 2011 Spatial resolution 1x1km2 Minimum fire size 4km2 Input data: manual mapping using AVHRR data Fire Frequency Maier & Russell-Smith (2012). Measuring and Monitoring of Contemporary Fire Regimes in Australia using Satellite Remote Sensing. In Flammable Australia: fire regimes, biodiversity and ecosystems in a changing world.
- 9. Qld coverage Spatial resolution 30m Annual composite 1987 - now High Resolution Burnt Area
- 10. Continental coverage Spatial resolution 250m Approx. 2 observations per day Australian algorithm MODIS/Terra (AM) available within 2h, MODIS/Aqua (PM) available within 2 days Near Real-Time Burnt Area
- 11. Fire is not Fire
- 12. Fire is not Fire fire severity, fire patchiness
- 13. Northern Australia coverage (north of 21⁰S) Spatial resolution 250m Monthly composites + seasonal composites Available 15th of following month 2002 – now Fire Severity Edwards, et al. (2015). Measuring and Mapping Fire Severity in the Tropical Savannas. In Carbon Accounting and Savanna Fire Management. B. Murphy, A. Edwards, M. Meyer and J. Russell-Smith. Melbourne, Australia, CSIRO Publishing:169-181.
- 14. On-ground transects within fire perimeters: 83% (EDS) / 93% (LDS) burnt 87% (EDS) / 89% (LDS) of unburnt patches are ≤ 5m Spatial Scale of Patchiness Oliveira, et al. (2015). Ecological Implications of Fine-Scale Fire Patchiness and Severity in Tropical Savannas of Northern Australia. Fire Ecology 11, 10-31.
- 15. Fraction Pixel Burnt on-ground sensor pixel 30% 70% un-mixing
- 16. Continental coverage Spatial resolution 250m Monthly composites Available 15th of following month 2002 – now Fire Sub-pixel Patchiness / Fraction Pixel Burnt
- 17. Fire Sub-pixel Patchiness (Example) day-time fire night-time fire
- 19. Fire Patchiness (Statistics West Top End)
- 20. Continental coverage Spatial resolution 250/500m Monthly composites Available 15th of following month 2002 – now MODIS land bands 1, 2, 3, 4, 5, (6), 7 (VIS/NIR/SWIR) Pre- and post-fire reflectance for every fire affected pixel Post-Fire Reflectance Change