Breathing and ecosystem resilience     under drought and deluge The MODIS land surface phenology product for AustraliaPres...
Concept: Land surface phenology
Concept: Land surface phenology                                  ENSO
The timing of Australia’s land surface phenology is     highly variable                                     Mode of peak t...
Absolute variability of peak timing                                              ~10-20 daysThe timing of the peakshifts b...
Season length is highly variable in some areas                                        ~ 50 days                           ...
The MODIS phenology product is            useful for:• Vegetation response to drought, climate  variability and chance• Wa...
MODIS EVI Satellite time series data                             EVI: Enhanced                             vegetation inde...
Phenology metrics                          POSEVI      AMP                        grassy             Peak                S...
Product inputs and approach• Inputs: MOD13 CMG (5-km) EVI 2000-2012      => 500-m and 250-m product is next• Approach: Gap...
Alice Springs: Semi-arid mulga (Acacia aneura) ecosystem                     EVI for 2000-2012                     Yellow:...
Curve fitting                                   Alice Springs: Semi-arid mulga (Acacia aneura) ecosystem                  ...
Curve fitting                Alice Springs: Semi-arid mulga (Acacia aneura) ecosystem                     EVI 2000-2012   ...
Sample sites foralgorithmdevelopment andevaluation(single pixel EVI timeseries)
Calperum: Mallee woodlandOther example time series….
WA wheat belt
Tumbarumba: Wet sclerophyll,  Eucalyptus delegatensishigh noise level
Nullaboure: sparely vegetated tree-less plainMulti year cycles with low activity
Application example: 1Vegetation dynamics inside and outside of   Australian Wildlife Conservancy areas
Vegetation dynamics inside and    outside the Newhaven SanctuaryMostly hummockgrassland
Annual ‘Peak’ EVI overhummock grasslandinside and outside ofthe NewhavenSanctuary-The mean peak EVI outside ishigher possi...
ak’ EVI (for 2012 on 17 Jan) over hummock grassland inside andside of the Newhaven Sanctuarye mean peak EVI outside is hig...
=> We are seeing dramatic differences within and outside protectedareas. Further work needs to be collaborative and with l...
Application example: 2GPP variability approximation
Median of integrated EVI over the growing season 2000-12     => Proxy of Gross Primary Productivity (GPP)Median integrated...
2001 deviation from median integrated EVIintegrated EVI -5              0          5                                      ...
2002 deviation from median integrated EVIintegrated EVI -5              0          5                                      ...
2003 deviation from median integrated EVIintegrated EVI -5              0          5                                      ...
2004 deviation from median integrated EVIintegrated EVI -5              0          5                                      ...
2005 deviation from median integrated EVIintegrated EVI -5              0          5                                      ...
2006 deviation from median integrated EVI+2 or ~ 200% of medianintegrated EVI -5                0         5               ...
2007 deviation from median integrated EVI            > 200% of medianintegrated EVI -5               0                5   ...
2008 deviation from median integrated EVIintegrated EVI -5              0          5                                      ...
2009 deviation from median integrated EVIintegrated EVI -5              0          5                                      ...
2010 deviation from median integrated EVI                                                 120-150% of median value        ...
2011 deviation from median integrated EVI                                                 High productivity               ...
Application example: 3Vegetation dynamics in relationship El Nino        Southern Oscillation (ENSO)
Significantpositiverelationshipbetween SOImonth and peakEVI       Jan       Feb       Mar       Apr       May       Jun   ...
Lag in number of  month  between SOI  month and  peak EVI                   p < 0.1
Application example: 4Near real time vegetation dynamics relative to              the long term mean                      ...
Example pixel (rained pasture) 37.97 S 142.19 E      0.6      0.5EVI      0.4      0.3      0.2      0.1            2000  ...
Example pixel (rained pasture) 37.97 S 142.19 E                                             Examples of crop state        ...
Example pixel (rained pasture) 37.97 S 142.19 E                                            Examples of crop state         ...
9th of June “Percent Expected EVI” in 2002                                          Le                            V       ...
9th of June “Percent Expected EVI” in 2010                                          Le                            V       ...
Product status:PhenologyInput: MOD13 CMD (5-km data)        soon => 250-mOutput: Peak_t, Peak_EVI, Min1_t, Min1_EVI, Min2_...
TERN AusCover WIKI:Phenology/ Seasonality – MODIS, Australia coverage
Conclusion• Vegetation dynamics have high spatial-temporal  variability and are challenging to characterize• AusCover/TERN...
Mark Broich_Breathing and ecosystem resilience under drought and deluge: MODIS land surface phenology model for Australia
Mark Broich_Breathing and ecosystem resilience under drought and deluge: MODIS land surface phenology model for Australia
Mark Broich_Breathing and ecosystem resilience under drought and deluge: MODIS land surface phenology model for Australia
Mark Broich_Breathing and ecosystem resilience under drought and deluge: MODIS land surface phenology model for Australia
Mark Broich_Breathing and ecosystem resilience under drought and deluge: MODIS land surface phenology model for Australia
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Mark Broich_Breathing and ecosystem resilience under drought and deluge: MODIS land surface phenology model for Australia

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  • Baseline 2000-12
  • Stdev around the mode
  • Slope of decrease from a given peak
  • Peak, POS, SOS, EOS, LOS, Base, integral
  • Slide shows the map of peak EVI magnitude for 2012. The peak in 2012 occurred on 17 th of January. Higher peak EVI values can be observed over grasslands outside the ACW site relative to inside
  • THIS data is available to you
  • Mark Broich_Breathing and ecosystem resilience under drought and deluge: MODIS land surface phenology model for Australia

    1. 1. Breathing and ecosystem resilience under drought and deluge The MODIS land surface phenology product for AustraliaPresentation by: Mark Broich, Alfredo Huete, Leo Lymburner,Alex Held, Xuanlong Ma, Kevin Davies, Natalia Restrepo Coupe,Piyachat Ratana
    2. 2. Concept: Land surface phenology
    3. 3. Concept: Land surface phenology ENSO
    4. 4. The timing of Australia’s land surface phenology is highly variable Mode of peak timing Julian day 1-31 31 32-59 60-90 91-120 121-151 152-181 182-212The timing of the peak 213-243is offset by ~six month 244-273between the Top Endand the Bight. 274-304Wheat crops are 305-334different yet again. 335-365
    5. 5. Absolute variability of peak timing ~10-20 daysThe timing of the peakshifts by more than> 1 month in some areas. ~90 days < 10 days < 10 days Average deviation from mode 0-160 days L V st HL a
    6. 6. Season length is highly variable in some areas ~ 50 days ~ 600 days ~ 300 days Season length variability shown as 75% quartile of season length minus the 25% quartile of season length: 0-800 days st L V HL a
    7. 7. The MODIS phenology product is useful for:• Vegetation response to drought, climate variability and chance• Water and CO2 exchange, land surface/ climate models• Biomass accumulation (feedstock, yield, fuel)• Vegetation stress and ecosystem resilience
    8. 8. MODIS EVI Satellite time series data EVI: Enhanced vegetation index A proxy of: - Photosynthetic activity -Gross Primary Productivity
    9. 9. Phenology metrics POSEVI AMP grassy Peak SOS EOS LOS Base woody Soil DOY
    10. 10. Product inputs and approach• Inputs: MOD13 CMG (5-km) EVI 2000-2012 => 500-m and 250-m product is next• Approach: Gap filling, smoothing, fitting of 7-parameter double logistic curves for trough- peak-trough cycles.• Internally consistent algorithm
    11. 11. Alice Springs: Semi-arid mulga (Acacia aneura) ecosystem EVI for 2000-2012 Yellow: original 5-km EVI data Black: gap filled and smoothed data Blue points: trough-peak-trough points of cycles Timing and magnitude of cycles varies Example of a cycle 200 20Mid July 2000 Mid July 2012 Axis labels are mid-July
    12. 12. Curve fitting Alice Springs: Semi-arid mulga (Acacia aneura) ecosystem EVI 2000-2012 Black: gap filled and smoothed data Red: series of double logistic curves fit to the subsequent cycles Each cycle is represented by a 7-parameter double logistic curve For this example pixel we store the parameters and locations of 9 subsequent cycles. 9 8 1 2 4 5 Example of a cycle 6 3 7 200 20Mid July 2000 Mid July 2012 Axis labels are mid-July
    13. 13. Curve fitting Alice Springs: Semi-arid mulga (Acacia aneura) ecosystem EVI 2000-2012 Peak and minimum points Start of Season and End of Season points (when the EVI reaches 80% of the peak magnitude) 200 20Mid July 2000 Mid July 2012 Axis labels are mid-July
    14. 14. Sample sites foralgorithmdevelopment andevaluation(single pixel EVI timeseries)
    15. 15. Calperum: Mallee woodlandOther example time series….
    16. 16. WA wheat belt
    17. 17. Tumbarumba: Wet sclerophyll, Eucalyptus delegatensishigh noise level
    18. 18. Nullaboure: sparely vegetated tree-less plainMulti year cycles with low activity
    19. 19. Application example: 1Vegetation dynamics inside and outside of Australian Wildlife Conservancy areas
    20. 20. Vegetation dynamics inside and outside the Newhaven SanctuaryMostly hummockgrassland
    21. 21. Annual ‘Peak’ EVI overhummock grasslandinside and outside ofthe NewhavenSanctuary-The mean peak EVI outside ishigher possibly due to fire EVImanagement inside theSanctuary-The peak EVI outside theSanctuary also has a largerstandard deviation See map slide years
    22. 22. ak’ EVI (for 2012 on 17 Jan) over hummock grassland inside andside of the Newhaven Sanctuarye mean peak EVI outside is higher possibly to different fire management inside thectuary
    23. 23. => We are seeing dramatic differences within and outside protectedareas. Further work needs to be collaborative and with local expertknowledge.
    24. 24. Application example: 2GPP variability approximation
    25. 25. Median of integrated EVI over the growing season 2000-12 => Proxy of Gross Primary Productivity (GPP)Median integrated EVI0.5 10 s V H
    26. 26. 2001 deviation from median integrated EVIintegrated EVI -5 0 5 s V H
    27. 27. 2002 deviation from median integrated EVIintegrated EVI -5 0 5 s V H
    28. 28. 2003 deviation from median integrated EVIintegrated EVI -5 0 5 s V H
    29. 29. 2004 deviation from median integrated EVIintegrated EVI -5 0 5 s V H
    30. 30. 2005 deviation from median integrated EVIintegrated EVI -5 0 5 s V H
    31. 31. 2006 deviation from median integrated EVI+2 or ~ 200% of medianintegrated EVI -5 0 5 s V H
    32. 32. 2007 deviation from median integrated EVI > 200% of medianintegrated EVI -5 0 5 s V H
    33. 33. 2008 deviation from median integrated EVIintegrated EVI -5 0 5 s V H
    34. 34. 2009 deviation from median integrated EVIintegrated EVI -5 0 5 s V H
    35. 35. 2010 deviation from median integrated EVI 120-150% of median value High rainfallsintegrated EVI allowed higher -5 0 5 yields? s V H
    36. 36. 2011 deviation from median integrated EVI High productivity Due to QLD flood?integrated EVI -5 0 5 s V H
    37. 37. Application example: 3Vegetation dynamics in relationship El Nino Southern Oscillation (ENSO)
    38. 38. Significantpositiverelationshipbetween SOImonth and peakEVI Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec p < 0.1
    39. 39. Lag in number of month between SOI month and peak EVI p < 0.1
    40. 40. Application example: 4Near real time vegetation dynamics relative to the long term mean => lagging => normal => exceeding
    41. 41. Example pixel (rained pasture) 37.97 S 142.19 E 0.6 0.5EVI 0.4 0.3 0.2 0.1 2000 2001 2002 2003 2004 2005 2006 2007 2009 2009 2010 2011 2012
    42. 42. Example pixel (rained pasture) 37.97 S 142.19 E Examples of crop state 9th of June (~2 month before peak) For 2002 (drought) and 2010 (wet) years. 0.6 0.5EVI 0.4 0.3 0.2 => 64% of expected EVI for this time of year 0.1 2000 2001 2002 2003 2004 2005 2006 2007 2009 2009 2010 2011 2012
    43. 43. Example pixel (rained pasture) 37.97 S 142.19 E Examples of crop state 9th of June (~2 month before peak) For 2000 (drought) and 2010 (wet) years. 0.6 => 124% expected of 0.5 expected EVI for this time of yearEVI 0.4 0.3 0.2 => 64% of expected EVI for this time of year 0.1 2000 2001 2002 2003 2004 2005 2006 2007 2009 2009 2010 2011 2012
    44. 44. 9th of June “Percent Expected EVI” in 2002 Le V M 50% 100% 150%L H a
    45. 45. 9th of June “Percent Expected EVI” in 2010 Le V M 50% 100% 150%L H a
    46. 46. Product status:PhenologyInput: MOD13 CMD (5-km data) soon => 250-mOutput: Peak_t, Peak_EVI, Min1_t, Min1_EVI, Min2_t, Min2_EVI, SOS_t, SOS_EVI, EOS_t, EOS_EVI, Min2_t, Min2_EVI. soon => LOS, Large integral, Baseline, Soil, Small Integral, Dormant phase, Rate of raise, Rate of fall; 500-m product, QA-flagPercent of Expected & Percent of PeakInput: MOD13A1 (500-m spatial and 16-day temporal resolution)Output: Percent of Expected for every 16 day interval across Australia 2000-2012 Percent of Peak for every 16 day interval across Australia 2000-2012 Data location => http://data.c3.uts.edu.au
    47. 47. TERN AusCover WIKI:Phenology/ Seasonality – MODIS, Australia coverage
    48. 48. Conclusion• Vegetation dynamics have high spatial-temporal variability and are challenging to characterize• AusCover/TERN MODIS phenology product is an internally consistent data prodcut to quantify remotely sensed vegetation dynamics across Australia• Percent of Expected and Percent of Peak Product complement the Phenology product• Information provided is useful for crop assessment, monitoring of vegetation dynamics in relation to climate Mark.Broich@uts.edu.au Mark Broich, Alfredo Huete, Leo Lymburner, Alex Held, Xuanlong Ma, Kevin Davies, Natalia Restrepo Coupe, Piyachat Ratana

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