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An improved satellite-based long record of
Australian vegetation dynamics: AVHRR NDVI
Ian Grant and Paul Loto’aniu (Bureau of Meteorology, AusCover)
Rob Smart (ABARES)

Presentation by Ian Grant, Bureau of Meteorology
What is NDVI?

• Normalised Difference Vegetation Index
• Satellite index of vegetation greenness
   • Change in red/near-infrared contrast




                   Blue   Red   Infrared
What is NDVI?

• NDVI is influenced by both
   • Plant vigour and health
   • Vegetation cover fraction
• NDVI indicates
   • Biomass production
What is NDVI?
• Time series monitors seasonal vegetation dynamics
• Enables spatial and interannual comparisons

             Arid




             Agricultural
What is NDVI?

• NDVI anomaly assesses departure of vegetation
  condition from long-term mean for the month
        Standard deviations from 17-year mean
NDVI on AusCover
Bureau of Meteorology THREDDS server
  • Monthly AVHRR NDVI
  • 0.01° and 0.05°
  • netCDF format
NDVI Applications

•   Agricultural assessment
•   Grazing land management
•   Drought monitoring
•   Hydrological modelling
•   National Carbon Accounting System
•   National Agricultural Monitoring System (NAMS)
    • Assess Exceptional Circumstances drought assistance
• Water balance modelling
NDVI Applications
Hydrological modelling
   • AVHRR NDVI converted to
     leaf area index
   • Time series tracks response
     of forested catchment to
     disturbance (bushfire,
     clearing, …)
Why improve AVHRR data?
Long time series
   • MODIS starts 2000 (to ~2015)
   • AVHRR starts 1982 (to ~2020)
Improve
   • Spatial and temporal consistency
   • Consistency with MODIS
Not just NDVI
   •   Surface reflectance in two bands: Red & NIR
   •   NDVI = (NIR – Red) / (NIR + Red)
   •   Albedo ≈ (NIR + Red) / 2  Climate and water models
   •   Biophysical variables: fAPAR, LAI
Processing chain
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration
•   Cloud masking
•   Atmospheric correction (needs atmospheric parameters)
•   Compositing OR Angular normalisation
Reception

      DAR



                  TWN

            ALS



PER



                  CPT
                   HOB
Processing chain
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration
•   Cloud masking
•   Atmospheric correction (needs atmospheric parameters)
•   Compositing OR Angular normalisation
Stitching
Orbit stitching
• Reduce data volume
• Improve quality
Processing chain
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration
•   Cloud masking
•   Atmospheric correction (needs atmospheric parameters)
•   Compositing OR Angular normalisation
Compositing
                                Merge data from several days to
Stitched orbits
                                   • Complete spatial coverage
                                   • Fill gaps due to cloud
                                   • Reject residual cloud



                  Compositing




                                 National coverage
Processing chain
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration
•   Cloud masking
•   Atmospheric correction (needs atmospheric parameters)
•   Compositing OR Angular normalisation
Processing chain
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration
•   Cloud masking
•   Atmospheric correction (needs atmospheric parameters)
•   Compositing OR Angular normalisation
Processing chain - The past
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration
•   Cloud masking
•   Atmospheric correction
•   Compositing OR Angular normalisation
Processing chain – AusCover
                  Phase 1
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration (improved)
•   Cloud masking
•   Atmospheric correction
•   Compositing OR Angular normalisation

First application of atmospheric correction to Australia’s
   AVHRR stitched archive
Processing chain – AusCover
                Phase 2
•   Reception
•   Collation and reformatting
•   Stitching
•   Georeferencing
•   Calibration (improved)
•   Cloud masking (improved)
•   Atmospheric correction
•   Compositing OR Angular normalisation
Calibration
Use NOAA cross-calibration results
   • AVHRR vs MODIS
   • AVHRR vs AVHRR
   • Heidinger et al. 2010
Atmospheric correction
CSIRO scheme for atmospheric radiative transfer
   •Mitchell and O’Brien (1993)

Total column water vapour             Aerosol Optical Depth
    • Numerical weather model            • Chemical transport model
    • European Reanalysis (ERA)          • ECMWF/MACC
      Interim                            • Validated against
    • Validated against radiosondes        sunphotometers
Atmospheric correction
Before            After
Immediate applications
Immediate
  • National Land Use map (ABARES)
  • Hydrological modelling (BoM)
  • National grassland curing and fire danger index history


Then?
  • National evapotranspiration history
  • National carbon flux history
  • Also, reflectance and albedo

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Ian Grant_An improved satellite-based long record of Australian vegetation dynamics: AVHRR NDVI

  • 1. An improved satellite-based long record of Australian vegetation dynamics: AVHRR NDVI Ian Grant and Paul Loto’aniu (Bureau of Meteorology, AusCover) Rob Smart (ABARES) Presentation by Ian Grant, Bureau of Meteorology
  • 2. What is NDVI? • Normalised Difference Vegetation Index • Satellite index of vegetation greenness • Change in red/near-infrared contrast Blue Red Infrared
  • 3. What is NDVI? • NDVI is influenced by both • Plant vigour and health • Vegetation cover fraction • NDVI indicates • Biomass production
  • 4. What is NDVI? • Time series monitors seasonal vegetation dynamics • Enables spatial and interannual comparisons Arid Agricultural
  • 5. What is NDVI? • NDVI anomaly assesses departure of vegetation condition from long-term mean for the month Standard deviations from 17-year mean
  • 6. NDVI on AusCover Bureau of Meteorology THREDDS server • Monthly AVHRR NDVI • 0.01° and 0.05° • netCDF format
  • 7. NDVI Applications • Agricultural assessment • Grazing land management • Drought monitoring • Hydrological modelling • National Carbon Accounting System • National Agricultural Monitoring System (NAMS) • Assess Exceptional Circumstances drought assistance • Water balance modelling
  • 8. NDVI Applications Hydrological modelling • AVHRR NDVI converted to leaf area index • Time series tracks response of forested catchment to disturbance (bushfire, clearing, …)
  • 9. Why improve AVHRR data? Long time series • MODIS starts 2000 (to ~2015) • AVHRR starts 1982 (to ~2020) Improve • Spatial and temporal consistency • Consistency with MODIS Not just NDVI • Surface reflectance in two bands: Red & NIR • NDVI = (NIR – Red) / (NIR + Red) • Albedo ≈ (NIR + Red) / 2  Climate and water models • Biophysical variables: fAPAR, LAI
  • 10. Processing chain • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration • Cloud masking • Atmospheric correction (needs atmospheric parameters) • Compositing OR Angular normalisation
  • 11. Reception DAR TWN ALS PER CPT HOB
  • 12. Processing chain • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration • Cloud masking • Atmospheric correction (needs atmospheric parameters) • Compositing OR Angular normalisation
  • 13. Stitching Orbit stitching • Reduce data volume • Improve quality
  • 14. Processing chain • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration • Cloud masking • Atmospheric correction (needs atmospheric parameters) • Compositing OR Angular normalisation
  • 15. Compositing Merge data from several days to Stitched orbits • Complete spatial coverage • Fill gaps due to cloud • Reject residual cloud Compositing National coverage
  • 16. Processing chain • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration • Cloud masking • Atmospheric correction (needs atmospheric parameters) • Compositing OR Angular normalisation
  • 17. Processing chain • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration • Cloud masking • Atmospheric correction (needs atmospheric parameters) • Compositing OR Angular normalisation
  • 18. Processing chain - The past • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration • Cloud masking • Atmospheric correction • Compositing OR Angular normalisation
  • 19. Processing chain – AusCover Phase 1 • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration (improved) • Cloud masking • Atmospheric correction • Compositing OR Angular normalisation First application of atmospheric correction to Australia’s AVHRR stitched archive
  • 20. Processing chain – AusCover Phase 2 • Reception • Collation and reformatting • Stitching • Georeferencing • Calibration (improved) • Cloud masking (improved) • Atmospheric correction • Compositing OR Angular normalisation
  • 21. Calibration Use NOAA cross-calibration results • AVHRR vs MODIS • AVHRR vs AVHRR • Heidinger et al. 2010
  • 22. Atmospheric correction CSIRO scheme for atmospheric radiative transfer •Mitchell and O’Brien (1993) Total column water vapour Aerosol Optical Depth • Numerical weather model • Chemical transport model • European Reanalysis (ERA) • ECMWF/MACC Interim • Validated against • Validated against radiosondes sunphotometers
  • 24. Immediate applications Immediate • National Land Use map (ABARES) • Hydrological modelling (BoM) • National grassland curing and fire danger index history Then? • National evapotranspiration history • National carbon flux history • Also, reflectance and albedo

Notas do Editor

  1. 2006-03-18 05:04 UT